57 Data Analysis jobs in Houston

Ankura is a team of excellence founded on innovation and growth.
Ankura Corporate Overview:
The goal of Ankura Business Services (ABS) is to provide support and assistance to Ankura's client facing business groups. All of Ankura's ABS groups work together to achieve a common goal, which is to create innovative solutions for our clients. ABS includes Finance, Legal, IT Services, Marketing and Communications, Real Estate, Conflict Check, Operations & Workplace Services, and the People Office. Collaborative lateral thinking, hard-earned experience, expertise, and multidisciplinary capabilities drive results. Together, Ankura's ABS groups work in harmony to Protect, Create, and Recover Value for our clients.
Role Overview:
Ankura is seeking a seasoned Data Engineer / Business Intelligence professional with strong technical acumen and demonstrated experience in dashboarding, data modeling, and workflow automation to join the Operations team. This position will play a pivotal role in building and maintaining the firm's reporting infrastructure, integrating disparate data sources, and developing intuitive dashboards that enable informed operational decision-making. The ideal candidate has extensive experience designing and scaling data pipelines, optimizing reporting outputs, and applying advanced analytics to improve business performance. Candidates must demonstrate a disciplined approach to data governance, confidentiality, and security, as they will be handling sensitive operational and financial information. Prior experience within the Professional Services sector is a plus. The role will be filled at the Senior Director level. This position is ideally hybrid based for a candidate located near an Ankura office in the eastern or central time zone but there is potential to be remote based (in the eastern or central time zone).
Responsibilities:
Core Responsibilities
+ Data Engineering & ETL: Design, build, and maintain efficient data pipelines using SQL, Alteryx, Microsoft Fabric, and other ETL tools to integrate and transform data from multiple systems (e.g., Workday ERP, Salesforce CRM, Intapp).
+ Dashboard Development: Lead the design and development of executive-level dashboards and reports in Power BI and Microsoft Fabric, ensuring outputs are intuitive, scalable, and actionable.
+ Advanced Data Modeling: Architect and optimize large-scale data models, applying best practices in normalization, schema design, and performance tuning for analytics and reporting.
+ Automation & Optimization: Identify opportunities to streamline and automate data workflows, reduce manual reporting, and increase the speed and reliability of business insights.
+ Analytics & Insights: Apply statistical and predictive analytics techniques (Python, R, or Alteryx) to analyze large datasets, forecast trends, and generate meaningful operational insights.
+ Collaboration: Partner with IT, Finance, and business leadership to ensure reporting solutions meet stakeholder needs and align with firm-wide operational excellence priorities.
+ Governance & Security: Uphold rigorous standards around data governance, security, and confidentiality in handling sensitive compensation, financial, and client information.
Technical Responsibilities
+ Power BI & Fabric Expertise: Develop complex dashboards, write advanced DAX formulas, use M language for data transformations, and leverage Microsoft Fabric for end-to-end data management, including data lakes, pipelines, and governance.
+ Data Engineering Skills: Create scalable ETL pipelines using SQL, Alteryx, and Fabric Data Factory, integrating structured and unstructured data sources.
+ Workflow Automation: Use tools such as Alteryx, Power Query, or Python to automate repetitive tasks and improve reporting efficiency.
+ Predictive Analytics: Leverage statistical tools (Python, R, Alteryx, KNIME) to model and forecast business performance metrics.
+ Workday ERP Integration: Support reporting and data integration from Workday PSA and Financials, including API usage and data migration.
+ Visualization: Deliver compelling, executive-ready reports and presentations via Power BI, Fabric dashboards, Excel, and PowerPoint.
Requirements:
+ Bachelor's degree in Data Engineering, Computer Science, Business Analytics, or related field. Advanced degree preferred.
+ 12+ years of experience in data engineering, BI, or analytics roles (experience in Professional Services industry preferred).
+ Expert proficiency with Power BI (DAX, M), SQL, Alteryx / KNIME, and Microsoft Fabric.
+ Strong background in ETL design, large data model development, and BI dashboarding.
+ Experience with Workday ERP and integrating ERP data with BI tools.
+ Proficiency with Excel (advanced functions, VBA), Power Query, Power Pivot, and PowerPoint.
+ Preferred skills include Python, R, Tableau, Salesforce CRM, and Workday Adaptive Planning.
+ Excellent analytical, problem-solving, and communication skills, with the ability to translate technical outputs into business insights.
+ Experience managing cross-functional data projects, with proven ability to deliver under tight deadlines.
+ Strong organizational skills and the ability to manage multiple priorities across stakeholders.
#LI-MJ1
#LI-Hybrid
*
Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email or call toll-free . This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.
Ankura Consulting Group, LLC is an independent global expert services and advisory firm that delivers services and end-to-end solutions to help clients at critical inflection points related to conflict, crisis, performance, risk, strategy, and transformation. The Ankura team consists of more than 2000 professionals serving 3,000+ clients across 55 countries who are leaders in their respective fields and areas of expertise. Collaborative Lateral Thinking That Deliversᵀᴹ, hard-earned experience, expertise, and multidisciplinary capabilities drive results and Ankura is unrivalled in its ability to assist clients to Protect, Create, and Recover Valueᵀᴹ. For more information, please visit, ankura.com.

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.

Be an essential element to a brighter future.
We work together to transform essential resources into critical ingredients for mobility, energy, connectivity and health. Join our values-led organization committed to building a more resilient world with people and planet in mind. Our core values ( are the foundation that make us successful for ourselves, our customers and the planet.
**Job Description**
Ketjen, wholly owned subsidiary of Albemarle Corporation, is seeking rising sophomores and juniors to join our Summer 2026 Data Science Internship Program. The ideal candidate would be available to work full-time for 12 weeks from May 18, 2026 to August 7, 2026 at one of our sites in the Houston, TX area.
**Why choose to intern at Ketjen? We offer:**
+ Competitive pay
+ Three vacation days and company holidays
+ Social engagement programs
+ Senior executive leadership networking opportunities
+ Corporate housing (for those who meet relocation criteria)
+ Full-time conversion opportunities
**QUALIFICATIONS**
+ Strong written and verbal communications skills
+ Must be able to commit to a full-time schedule (40 hrs/week)
+ Prior industrial or manufacturing experience a plus
+ Ability to participate in multiple Ketjen Internship or Co-Op sessions is a plus!
**EDUCATION**
+ Seeking sophomore or junior level candidates (any graduation date between Dec 2026 to Dec 2028)
+ Pursuing a Bachelor's degree from an ABET Accredited University majoring in Data Science, Computer Science, Statistics, Analytics, or a similar discipline
+ Cumulative GPA 3.0 or above on a 4.0 scale
**JOB RESPONSIBILITIES**
+ JavaScript/JQuery
+ HTML/CSS
+ SQL Server/SSMS IDE
+ VBA within Excel
+ Python/Django via PyCharm Professional IDE
+ Azure DevOps for project tracking and code versioning (GIT)
**Benefits of Joining Albemarle**
+ Competitive compensation
+ Comprehensive benefits package
+ A diverse array of resources to support you professionally and personally.
We are partners to one another in pioneering new ways to be better for ourselves, our teams, and our communities. When you join Albemarle, you become our most essential element and you can anticipate competitive compensation, a comprehensive benefits package, and resources that foster your well-being and fuel your personal growth. Help us shape the future, build with purpose and grow together.

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 9/30/2025.
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
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of architects, data scientists, and engineers working step-by-step with customers to build bespoke solutions that harness the power of generative AI.
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 pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust 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
- 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
- PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 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 Data Engineering, Data Analytics, 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
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
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.

**Explore opportunities with Kelsey-Seybold Clinic,** part of the Optum family of businesses. Work with one of the nation's leading health care organizations and build your career at one of our 40+ locations throughout Houston. Be part of a team that is nationally recognized for delivering coordinated and accountable care. As a multi-specialty clinic, we offer care from more than 900 medical providers in 65 medical specialties. Take on a rewarding opportunity to help drive higher quality, higher patient satisfaction and lower total costs. Join us and discover the meaning behind **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ Serve as a strategic and hands-on leader in AI and Data Science, driving the development, integration, and governance of AI initiatives across enterprise systems
+ Lead the implementation of AI solutions in collaboration with third-party vendors, including Epic, and act as the primary liaison with the internal
+ Office for Responsible AI
+ Bring deep technical expertise in AI/ML, experience in healthcare data environments, and a commitment to ethical, impactful innovation
+ Support organizational goals through responsible AI practices and cross-functional collaboration
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
**Required Qualifications:**
+ Bachelor's degree or higher in Computer Science, Data Science, Engineering, or related field
+ 5+ years of experience in AI or Machine Learning development, including 2+ years in strategic and/or leadership roles
+ Hands-on experience deploying and managing large language models (LLMs)
+ Hands-on experience with AI/ML tools and frameworks,(such as Python, TensorFlow, PyTorch, and Scikit-learn)
**Preferred Qualifications:**
+ Master's degree in Computer Science, Data Science, Engineering, or related field
+ AI/ML related certifications
+ Experience working with or alongside large healthcare delivery environment, preferably with Epic
+ Knowledge of HL7, FHIR, and other healthcare interoperability standards
+ Exposure to cloud platforms (e.g., Azure, AWS, GCP) and MLOps practices
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $110,200 to $188,800 annually based on full-time employment. We comply with all minimum wage laws as applicable.
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
_OptumCare is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations._
_OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment._

**42576BR**
**Requisition ID:**
42576BR
**Business Unit:**
TSU
**Job Description:**
We are currently seeking an Environmental Data Analytics Discipline Leader who will play a crucial role in leveraging data analytics to enhance our firm's capabilities in environmental services. This position involves working across multiple technical practice areas at the firm, working with CDM Smith's digital teams, and also involves supporting marketing and business development initiatives related to environmental data analytics. This discipline leader will collaborate with other discipline leaders, subject matter experts (SMEs), the company's digital teams, and the larger environmental data analytics group within the firm to gather ideas and assess needs for the environmental data analytics discipline area. They coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, technicians, and digital experts at the company to provide a variety of environmental services for clients. Additionally, the leader is responsible for developing processes to evaluate ideas and initiatives for potential innovation investment at the firm, aimed at developing analytics tools and technologies.
The Data Analytics Discipline Leader also helps with managing intellectual property (IP) and research and development (R&D) investments by reviewing current environmental data analytics-related ideas, identifying IP to consider for protection, and prioritizing potential R&D investments. They work to grow a team of environmental data analytics practitioners who have the desire or aptitude to pursue environmental analysis for a variety of client projects at the firm. The leader establishes relationships and processes for providing our environmental data analytics services to the market and ensures that the firm stays ahead of competitors by continuously improving data management and analysis capabilities. This role is essential for navigating the competitive landscape and meeting the growing demands for advanced data analytics solutions in the environmental sector.
As a member of this team, you would contribute to CDM Smith's mission by:
-tAssisting CDM Smith's Digital teams in conducting evaluations of available data analytics technologies and platforms to analyze a wide range of environmental data across various applications (e.g., water quality assessments, remedial investigations, remedial actions, and operations and maintenance of treatment systems).
-tWork with the firm's sales teams and with CDM Smith's digital subsidiary, Trinnex (as applicable), on technical sales, design, and delivery of environmental data analytics solutions tailored for environmental analysis-related needs.
-tCollaborate with local, national, and international technical teams.
-tWork across multiple technical practice areas to leverage environmental data analytics research and the firm's development activities, thereby expanding and enhancing the firm's capabilities in environmental services.
-tSupport marketing and business development initiatives related to environmental data analytics.
-tCollaborate and compile ideas: Engage with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for environmental data analytics innovation and more.
-tCoordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to deliver effective environmental solutions to CDM Smith's clients.
-tEstablish processes: Develop processes to evaluate ideas and initiatives for potential innovation investment at the firm aimed at developing analytics tools and technologies.
-tManage potential intellectual property (IP) and research and development (R&D) investments: Review current environmental data analytics ideas, identify potential IP for protection, prioritize potential R&D investments, and assist with connecting these to the firm's processes and groups overseeing IP protection, innovation, and digital investment.
-tWork with and grow environmental data analytics practitioners who have the desire or aptitude to provide environmental services for a variety of clients at the firm.
-tNavigate the competitive landscape and help keep CDM Smith at the forefront of the environmental data analytics market in the environmental sector.
-tMarket engagement: Identify conferences, working groups, and other activities to enhance technical visibility and promote our capabilities to clients.
-tTrack business opportunities and clients: Identify and monitor business opportunities and client relationships for environmental data analytics services.
**Job Title:**
Environmental Data Analytics Discipline Leader
**Group:**
ESO
**Employment Type:**
Regular
**Minimum Qualifications:**
Bachelor's degree. 7 years of related experience. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. Equivalent additional directly related experience will be considered in lieu of a degree.
**Preferred Qualifications:**
-tEnvironmental Expertise: Bachelor's degree in civil, environmental, chemical engineering, science or related discipline. Professional engineering (PE) license or registration as a Licensed Professional Geologist or professional scientist registration/certification or Master's degree in science or related discipline. Must have extensive understanding of environmental analytics.
-tStatistical Analysis Proficiency: Proficient in the mathematical principals of data analytics and the interpretation of environmental data. Familiarity with Python or R a plus.
-tIP Management: Experience in managing intellectual property.
-tEducational Interest: An interest in teaching and developing education and advancement opportunities for mid- and junior-level staff.
-tDomestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.
-t10 years of related experience.
**EEO Statement:**
We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law.
**Why CDM Smith?:**
Check out this video and find out why our team loves to work here! ( Us! CDM Smith - where amazing career journeys unfold.**
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
**Job Site Location:**
United States - Nationwide
**Agency Disclaimer:**
All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.
**Amount of Travel Required:**
20%
**Assignment Category:**
Fulltime-Regular
**Visa Sponsorship Available:**
No - We will not support sponsorship, i.e. H-1B or TN Visas for this position
**Skills and Abilities:**
Strong knowledge of corporate governance practices, organization design principles, accounting principles, finance, supply chain management, and organization management. Excellent written and oral communication skills. Ability to understand highly complex technical, professional and business materials.
**Background Check and Drug Testing Information:**
CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.
**Pay Range Minimum:**
$90,605
**Pay Range Maximum:**
$158,579
**Additional Compensation:**
All bonuses at CDM Smith are discretionary and may or may not apply to this position.
**Work Location Options:**
Hybrid Work Options may be considered for successful candidate.
**Driver's License Requirements:**
An appropriate and valid driver's license is required.
**Massachusetts Applicants:**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

*Mission Statement*
The mission of The University of Texas MD Anderson Cancer Center is to eliminate cancer in Texas, the nation, and the world through outstanding programs that integrate patient care, research and prevention, and through education for undergraduate and graduate students, trainees, professionals, employees and the public.
*Summary*
The Program Manager of Marketing Brand Health is responsible for managing, monitoring, and delivering analyses and reports on advertising and marketing performance. This role partners with stakeholders to evaluate campaign effectiveness, measure ROI, and translate data into clear, actionable insights through compelling visualizations. The ideal candidate brings a strong understanding of advertising and media buying and will play a key role in guiding optimization strategies, ensuring data governance, and supporting analytics-driven decision-making. This position is highly collaborative, requiring the ability to bridge marketing, media, and analytics functions to strengthen brand health and maximize campaign impact.
*The ideal candidate will have proven experience in data analysis, including calculating Return on Investment (ROI) and applying attribution modeling techniques. Proficiency with technical platforms such as Salesforce and Tealium is preferred, along with familiarity with Tag Management Systems (TMS) like Google Tag Manager and Ensighten. Candidates local to the Houston Metro Area or surrounding regions are also strongly preferred.*
*In this role, you will:*
* *Drive Optimization & Innovation:* Monitor and analyze advertising and marketing campaign performance, identify opportunities for improvement, and deliver data-driven recommendations to enhance effectiveness and ROI.
* *Lead with Expertise:* Serve as a subject matter expert in digital marketing analytics, marketing technology, and data strategy to guide stakeholders on measurement, reporting, and optimization.
* *Partner with Stakeholders:* Collaborate across marketing, media, and analytics teams to ensure campaign goals are measurable, insights are actionable, and performance is clearly communicated.
* *Deliver Reporting & Insights:* Develop and manage dashboards, scorecards, and reports that visualize campaign and brand performance in meaningful ways for executive and cross-functional audiences.
* *Support Strategic Planning:* Contribute to marketing thought leadership by identifying relevant metrics, analyzing outcomes, and informing committees and initiatives that shape marketing strategy.
* *Advance Data Governance:* Ensure data quality, consistency, and governance across platforms, tools, and processes to support accurate performance measurement and trustworthy insights.
* *Champion Technology Enablement:* Leverage expertise in MarTech and AdTech systems (CRM, CDP, DMP, BI, tag management, and marketing automation platforms) to maximize value, streamline processes, and enable data-driven decision-making.
* *Passion for Innovation*: A relentless curiosity and drive to explore new technologies and methodologies, constantly seeking ways to push the boundaries of digital marketing analytics.
*Key Functions*
* Thought Leadership *
* Establish dashboards and data visualization best practices.
* Generate and develop points of view and recommendations.
* Search for opportunities for integration across the institution.
* Provide end user support regarding data sources and support business intelligence and reporting applications for the Institution
* Remain organized, pay strict attention to detail, and meet deadlines
* Technology and Analysis *
* Responsible for analyzing data and uncovering patterns to provide meaningful and relevant recommendations to improve customer metrics
* Leverage data to provide actionable insights and recommendations to improve KPIs
* Ability to pull together large quantities of data varying in type and/or source and create 360 views of a campaign or customer journey
* Ability to interpret and work with marketing attribution models
* Guide teams and make sound recommendations on marketing technology concepts and tools (DMP, CDP, Identity Resolution etc.) to enhance reporting capabilities
* Prepare and distribute periodic and ad hoc reports
* Communicate data findings, recommendations, and other details to stakeholders in a clear, insightful way
* Service Orientation *
* Provide service to internal stakeholders, agencies, and vendors in a reliable, responsive, safe, friendly and courteous manner.
* Promote inclusiveness and collegiality to internal and external colleagues and teams by demonstrating respect and professionalism to others at all times
* Meet time and attendance expectations and respond to requests in a timely manner, communicating expectations for procedures, timing, and project deliverables to coworkers
* Manage selected administrative functions of Marketing; including maintaining calendars and scheduling meetings for assigned projects and assisting with meeting preparations
* Remain flexible and perform other duties as assigned, based on a workflow that is ever-changing and responding to the needs of team members.
Other duties as assigned.
*Education*
*Required: *Bachelor's degree in Marketing, Business, Communications, Advertising or related field.
*Experience*
*Required: *Five years project management experience in marketing, communications and advertising.
The University of Texas MD Anderson Cancer Center offers excellent tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law. Information
* Requisition ID:
* Employment Status: Full-Time
* Employee Status: Regular
* Work Week: Days
* Minimum Salary: US Dollar (USD) 77,500
* Midpoint Salary: US Dollar (USD) 97,000
* Maximum Salary : US Dollar (USD) 116,500
* FLSA: exempt and not eligible for overtime pay
* Fund Type: Hard
* Work Location: Remote
* Pivotal Position: Yes
* Referral Bonus Available?: Yes
* Relocation Assistance Available?: Yes
#LI-Remote

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Insurance
**Time Type:** Full time
**Travel Requirements:** Up to 80%
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
+ Develop new skills outside of comfort zone.
+ Act to resolve issues which prevent the team working effectively.
+ Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
+ Analyse complex ideas or proposals and build a range of meaningful recommendations.
+ Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
+ Address sub-standard work or work that does not meet firm's/client's expectations.
+ Use data and insights to inform conclusions and support decision-making.
+ Develop a point of view on key global trends, and how they impact clients.
+ Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
+ Simplify complex messages, highlighting and summarising key points.
+ Uphold the firm's code of ethics and business conduct.
**Job Requirements and Preferences** :
**Basic Qualifications** :
**Minimum Degree Required** :
Bachelor Degree
**Minimum Years of Experience** :
7 year(s)
**Preferred Qualifications** :
**Certification(s) Preferred** :
Certification in one of the following cloud platforms - AWS/Azure/GCP/Snowflake
**Preferred Knowledge/Skills** :
Demonstrates extensive abilities and/or success in one or more of the following areas:
+ Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;
+ Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);
+ Possessing extensive knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);
+ Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse;
+ Possessing proven knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark;
+ Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;
+ Having end-to-end knowledge of implementing enterprise data solutions such as Master Data Management, Data Governance and Enterprise Data Warehouse;
+ Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML;
+ Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (Kubernetes/Docker, etc.); and,
+ Possessing P&C Insurance industry experience, including proven understanding of insurance data, underlying KPIs and how they are used.
Demonstrates extensive abilities with, and/or a proven record of success directing efforts in the following areas:
+ Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;
+ Managing and streamlining data warehouse team and lead in creation of cloud data warehouse plans, roadmap, success metrics, and assessment of client's enterprise (on-premise and on-cloud) data systems;
+ Working closely with business stakeholders to capture and document business; objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures;
+ Coordinating and providing guidance to technology teams and architects to define and develop technology solutions;
+ Demonstrating critical thinking and problem-solving methods and skills;
+ Supervising teams to create an atmosphere of trust;
+ Seeking diverse views to encourage improvement and innovation;
+ Coaching staff including timely meaningful written and verbal feedback;
+ Building, maintaining and utilizing networks of client relationships and community involvement;
+ Using appropriate facilitation techniques to gain agreement or move others to action;
+ Managing resource requirements, project workflow, budgets, billing and collections; and,
+ Preparing and/or coordinating complex written and verbal materials.
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: