66 Data Science jobs in Dallas

**Position Overview**
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Science Group Manager within PNC's Technology organization, you will be based in Pittsburgh, PA, Dallas, TX, Tysons Corner, VA or Cleveland, OH. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager's discretion.
We are seeking an experienced and visionary Data Product Leader to drive the strategy, development, and delivery of data products for PNC bank. You will be responsible for defining and executing a roadmap that leverages data and AI to solve business challenges, enhance customer experience, and create a competitive advantage within the financial services industry.
Key responsibilities:
- Define and Evangelize Data Product Vision and Strategy: Develop and communicate a clear vision for the bank's data product portfolio, aligned with overall business goals and regulatory requirements.
- Lead the Full Data Product Life Cycle: Drive the end-to-end development of data products, from ideation and requirements gathering to launch, adoption, and iteration.
- Translate Business Needs into Actionable Solutions: Partner with stakeholders across various lines of business (e.g., retail banking, wealth management, corporate and investment banking) to understand their data needs and translate them into concrete product requirements.
- Champion Data Quality and Governance: Ensure data products meet high standards of quality, reliability, security, and compliance with financial regulations and ethical data practices.
- Foster Cross-Functional Collaboration: Serve as a central hub, effectively bridging the gap between technical data teams (e.g., data engineers, data scientists) and business stakeholders.
- Build and Mentor a High-Performing Team: Recruit, develop, and manage a team of talented data product managers, fostering a culture of innovation and collaboration.
- Monitor Product Performance and Drive Improvement: Define and track key performance indicators (KPIs) to measure the success of data products and continuously iterate based on feedback and performance analysis.
- Stay Ahead of Industry Trends: Maintain a deep understanding of the latest advancements in data, analytics, AI, and related technologies within the financial services sector.
Preferred skills and experience:
- Deep expertise in data product management, including defining vision, developing roadmaps, and managing the product lifecycle.
- Strong knowledge of data governance, security, and compliance principles within the financial industry (e.g., SEC, FINRA, GDPR, CCPA).
- Familiarity with data architecture, data pipelines, analytics tools, and potentially machine learning and AI concepts.
- Excellent communication, interpersonal, and leadership skills, with the ability to influence and align diverse stakeholders.
- Proven ability to translate complex data concepts into clear business language and actionable strategies.
- Demonstrated experience building and leading high-performing teams.
This role offers a unique opportunity to shape the future of data-driven innovation within PNC Technology. We are looking for a strategic thinker and a hands-on leader who can translate data into tangible business value and drive transformative change.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
**Job Description**
+ Manages the priorities and strategy of data science activities.
+ Provides senior leadership, direction, and methodology for Data Scientists to create appropriate models and data-driven solutions for the business.
+ Recruits, trains, and develops best-in-class team(s) of Data Scientists.
+ Works with executive leadership to identify data science project opportunities and leads planning activities including budget and scope determination.
+ Oversees relationship with business and technology teams to develop data-driven solutions for the business.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
+ **Customer Focused** - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
+ **Managing Risk** - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:
+ **Include Intentionally** - Cultivates diverse teams and inclusive workplaces to expand thinking.
+ **Live the Values** - Role models our values with transparency and courage.
+ **Enable Change** - Takes action to drive change and innovation that will transform our business.
+ **Achieve Results** - Takes personal ownership to deliver results. Empowers and trusts others in decision making.
+ **Develop the Best** - Raises the bar with every talent decision and guides the achievement of all employees and customers.
**Qualifications**
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
**Preferred Skills**
Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning
**Competencies**
Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools
**Work Experience**
Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry-relevant experience is typically 8+ years. At least 5 years of prior management experience is typically required. Proven leadership experience with a moderate to large scope of responsibility is required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
**Education**
Masters
**Certifications**
No Required Certification(s)
**Licenses**
No Required License(s)
**Pay Transparency**
Base Salary: $100,000.00 - $234,600.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
**Application Window**
Generally, this opening is expected to be posted for two business days from 08/21/2025, although it may be longer with business discretion.
**Benefits**
PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards ( .
**Disability Accommodations Statement**
If an accommodation is required to participate in the application process, please contact us via email at . Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.
**Equal Employment Opportunity (EEO)**
PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.
This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.
**California Residents**
Refer to the California Consumer Privacy Act Privacy Notice ( to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

**What's Under the Hood**
DriveTime Family of Brands is the largest privately owned used car sales finance & servicing company in the nation. Headquartered in Tempe, Arizona and Dallas, Texas, we create opportunities and improve the lives of our customers and our employees by placing a focus on putting the right customer, in the right vehicle, on the right terms and on their path to ownership.
The DriveTime Family of Brands spans across DriveTime, Bridgecrest and SilverRock. You can find us at the intersection of technology and innovation as we use our proprietary tools and over two decades of industry knowledge to redefine the process of purchasing, financing, and protecting your vehicle.
**That's Nice, But What's the Job?**
**_This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship now or in the future are not eligible for hire at this time._**
We are looking for a skilled Data Science intern for our Summer 2026 internship program. Our Data science teams here at the DriveTime Family of Brands support several different business verticals including; Marketing, Lending, Indirect Lending and Warranties. As an intern, you will have the opportunity to gain hands-on experience working with cutting-edge technologies.
A successful candidate should have experience with programming languages such as Python, SQL, and other statistical or analytical coding tools, along with a strong understanding of the full Data Science life cycle.
The data science interns will be responsible for things like:
+ Conduct data analysis and provide insights to support business decision-making processes
+ Assist in developing and implementing data models, algorithms, and predictive models
+ Utilize statistical and machine learning techniques to extract knowledge and patters from data
+ Assist with developing innovative ways to increase data intelligence within the business
+ Present results of analysis to leaders and colleagues
**So what are we looking for?**
+ **A mind for the details.** Okay, we know "detail-oriented" is on about every job description - but we really mean it!
+ **Intellectual curiosity.** Why? What? How? Do you find yourself always wanting to learn more and broaden your knowledge base? If so, this could be the role for you!
+ **Fantastic problem solver.** Your job is not only to find the problem, but more importantly, find the solution.
+ **Agile in a fast paced environment.** We move, and we move quickly. Thriving in an environment that never stops, is a must.
+ **Excellent verbal and written communication skills.** The ability to talk and write with confidence, charisma and competence for a wide variety of audiences including management.
**The Specifics.**
+ Bachelors or master's student with a graduation date between December 2026 - May 2027
+ Pursuing a degree in Data Science, Statistics, Mathematics, Physics, Computer Science, or related discipline
+ You have a GPA of 3.5 or higher
+ Able to read and write in Python (R is a plus!)
+ Working knowledge in SQL, Tableau and Excel
+ An understanding of the Data Science Life Cycle
+ Our internship program is 11 weeks starting May 2026 - August 2026
+ Internships will be base our of our Home offices in Tempe, AZ and Dallas, TX
+ You can expect a regular on-site schedule; Monday-Friday, 40 hours per week
+ Relocation not provided for internship
**So What About the Perks? Perks matter.**
+ **Not Just Coffee Runs.** We're talking real world experience. You'll walk away from our internship program with hands-on experience, completed projects, full portfolios, and newly developed skills.
+ **Who Says You Have to Walk Away?** Across both our Tempe, AZ and Dallas, TX offices, over 60% of our interns stay through the fall semester, return the following summer, or are brought on full-time after graduation.
+ **Growth & Development.** You will be mentored by industry professionals, be given guidance along the way, and the tools to be successful.
+ **Philanthropy: Give for Good.** We are proud to be difference makers in our communities. We dedicate time for our Interns to give back with us.
+ **Gratitude is Green.** Out Internship Program is paid, because, well. money matters!
+ **In-House Gym.** We want our employees to be the best versions of themselves. So come early, take a break in your day or finish strong with a workout!
+ **Give Us a Reason (or not), and We'll Celebrate.** Regardless of whether there is a holiday or not, we are finding ways to kick back and enjoy each other's company outside of day-to-day work.
+ **Smart-Casual Dress.** Come dressed in jeans (you'll fit right in with the rest of us).
**Anything Else? Absolutely.**
DriveTime Family of Brands is Great Place to Work Certified! And get this: 90% of our rockstar employees say they feel right at home here. We could spend a lot of time having you read about ALL our awards, but we'll save time (and practice some humility) just naming a few others; Comparably Awards: Best Company for Diversity, Best Company Culture and Best Company Leadership, oh and don't forget Phoenix Business Journal Healthiest Employers (okay, we'll stop there)!
Hiring is contingent upon successful completion of our background and drug screening process. DriveTime is a drug-free, tobacco-free workplace and an Equal Opportunity Employer.
And when it comes to hiring, we don't just look for the right person for the job, we seek out the right person for DriveTime. Buckle up for plenty of opportunities to grow in a professional, fun, and high-energy environment!

Data Science Manager, GenAI - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare, life sciences, manufacturing, consumer, energy, and other industries. Join us at SFL Scientific to expand your technical acumen through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
Recruiting for this role ends 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, you will develop and manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases. The Data Science Manager will provide leadership for our comprehensive data science and AI initiatives, developing and executing strategies that deliver measurable business and scientific outcomes. Successful candidates will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications and use cases. Data Science Managers are also responsible for but not limited to:
+ Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines
+ Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate, and coach junior data scientists on technical best practices and inspire professional development
+ Develop key skillsets and delivery experience to grow into leadership or non-technical management and business roles
The TeamOur Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications
Required:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions
+ Experience in a client-facing role or internal AI product development role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
#MonitorDeloitte
#DeloitteJobs
#StrategyConsulting
#DeloitteStrategy
#Strategy26
#SFL26
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

The team and the role
The Strategic Analytics team is dedicated to delivering actionable insights to finance and operational leaders, empowering them to make data-driven decisions that drive organizational success. By leveraging advanced analytical techniques and cutting-edge technologies, the team transforms complex data into clear, strategic recommendations. Our team members collaborate closely with various departments to understand their unique challenges and opportunities, ensuring that our analyses are both relevant and impactful. Join us to be at the forefront of strategic decision-making, where your analytical skills will directly contribute to shaping the future of our Firm.
Recruiting for this role ends on November 13, 2025
Key Responsibilities
+ Lead large-scale data science projects: Oversee the planning, execution, and delivery of highly complex predictive modeling initiatives that impact firm-wide strategies and practices
+ Strategic analytics & model development: Design, build, and validate predictive models to forecast critical business outcomes, ensuring solutions align with firm leadership's goals
+ Continuous improvement: Identify and implement opportunities to enhance modeling processes, data pipelines, and project methodologies to ensure ongoing innovation, efficiency, and best-in-class results
+ Data stewardship & feature engineering: Direct acquisition, preparation, and enrichment of datasets from diverse sources to maximize model accuracy and relevance
+ Model deployment & impact measurement: Guide integration of predictive models into business operations, set up monitoring systems, and refine models based on real-world feedback
+ Communication & stakeholder management: Translate analytics insights into clear, actionable recommendations for leadership, and deliver compelling visualizations and reports
The successful candidate will possess:
+ Ability to translate analytical findings into strategic business recommendations tailored for firm leadership and decision makers
+ Proven leadership in managing analytics teams or projects, including mentoring, team-building, and overseeing model deployment
+ Exceptional stakeholder engagement, collaboration, and interpersonal skills, with experience liaising between technical and business teams
Qualifications
Required:
+ Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, or related field
+ Minimum 8 years in predictive analytics, data science, or related roles
+ Expertise in predictive modeling techniques, including time-series forecasting, ensemble methods, and machine learning algorithms
+ Proficiency with data science programming languages such as Python, R, and SQL, and experience using leading machine learning libraries (e.g., scikit-learn, TensorFlow, XGBoost)
+ Strong statistical analysis skills, including hypothesis testing, model validation, and performance measurement
+ Experience with data visualization tools (e.g., Tableau) and ability to communicate complex results in clear, actionable formats for executive stakeholders
+ Demonstrated project management skills, including managing deliverables, prioritizing tasks, and meeting deadlines under pressure
+ Ability to travel 0 - 5%, on average, based on the work you do and the clients and industries/sectors you serve.
+ Limited immigration sponsorship may be available
Preferred:
+ Experience in a professional services firm
+ Expertise in Tableau and DataRobot
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $137,400 to $253,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation:
qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Data Science Manager, Healthcare & Life Sciences - SFL Scientific
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses.
We are hiring a Data Science Manager to support the technical design, development, and deployment of novel AI solutions across healthcare and life sciences.
Recruiting for this role ends on 11/30/2025.
Work You'll Do
As a Data Science Manager at SFL Scientific, a Deloitte Business, you will manage a team of developers to deliver novel solutions in the AI and GenAI domains. You will be responsible for the technical direction of client engagements while defining the project strategy, communicating complex concepts to both technical and non-technical audiences, and leading solution development to solve our clients' use cases.
Successful candidates will be an expert in using state-of the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications in healthcare, diagnostics, hospital operations, and more. Join us to expand your technical career through the lens of professional services and consulting and help create novel solutions to advance your data science & AI career.
+ Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients' unique requirements
+ Engage and guide healthcare clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
+ Lead for an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for clinical and non-clinician applications
+ Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
+ Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
+ Mentor, motivate and coach junior data scientists on technical best practices and inspire professional development
The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
Qualifications:
+ Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
+ 6+ years of experience working in data science, data engineering, software engineering, or MLOps
+ 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision, to graph models
+ 6+ years of experience in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.)
+ 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
+ 4+ years of experience managing teams and delivering complex and critical projects
+ Live within commuting distance to one of Deloitte's consulting offices
+ Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Limited immigration sponsorship may be available
Preferred Qualifications:
+ Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
+ Experience with developing and testing GenAI solutions for healthcare or life sciences
+ Experience in a client-facing role
+ Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Experience developing software code in one or more programming languages (java, python, etc.)
- PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
Preferred Qualifications
- Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Experience with coding, automation and scripting (e.g., Terraform, Python)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Experience developing software code in one or more programming languages (java, python, etc.)
- PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
Preferred Qualifications
- Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Experience with coding, automation and scripting (e.g., Terraform, Python)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Experience developing software code in one or more programming languages (java, python, etc.)
- PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
Preferred Qualifications
- Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Experience with coding, automation and scripting (e.g., Terraform, Python)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing, implementing, and building complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- Experience developing software code in one or more programming languages (java, python, etc.)
- PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)
Preferred Qualifications
- Knowledge of AWS platform and tools or equivalent cloud experience. Ideally, the candidate has AWS Experience with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Machine Learning Specialty) preferred
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Experience with coding, automation and scripting (e.g., Terraform, Python)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.