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Our client, a leading financial institution, is seeking a highly skilled and experienced Director of Quantitative Analysis to join their esteemed team in Chicago, Illinois, US . This senior role will be responsible for developing and implementing sophisticated quantitative models and strategies to drive investment decisions, risk management, and product development. The ideal candidate will possess a deep understanding of financial markets, advanced statistical and mathematical techniques, and a proven ability to translate complex data into actionable insights. You will lead a team of talented quants, fostering a culture of innovation and analytical rigor.

Key responsibilities include designing, building, and validating complex financial models for areas such as asset pricing, risk assessment, portfolio optimization, and algorithmic trading. You will collaborate closely with portfolio managers, traders, risk officers, and technology teams to ensure the effective integration and application of quantitative solutions. This role requires a strong command of programming languages commonly used in quantitative finance (e.g., Python, R, C++) and extensive experience with financial databases and data analytics platforms. You will also be responsible for staying abreast of the latest developments in quantitative finance, research, and technology, and for mentoring junior members of the quantitative team.

The successful candidate will hold a Master's or Ph.D. in a quantitative field such as Mathematics, Physics, Statistics, Economics, or Financial Engineering. A minimum of 10 years of relevant experience in quantitative finance, with significant experience in a leadership or management role, is required. Proven expertise in areas like stochastic calculus, time series analysis, machine learning, and statistical modeling is essential. Excellent communication and presentation skills are necessary to convey complex analytical findings to both technical and non-technical audiences. This position offers a hybrid work arrangement, blending in-office collaboration with remote flexibility, allowing for a dynamic and effective work environment in Chicago, Illinois, US .

Our client, a prestigious financial institution, is seeking a highly accomplished and strategic VP of Quantitative Analysis to lead their advanced analytics division. This is a fully remote leadership role, perfect for an expert in financial modeling, risk management, and data-driven decision-making. You will be responsible for developing and implementing sophisticated quantitative models to support trading strategies, portfolio management, and risk assessment across various asset classes. Your expertise will be crucial in driving innovation and enhancing the firm's competitive edge through cutting-edge analytics. Responsibilities include leading a team of highly skilled quantitative analysts, overseeing the development of pricing and hedging models, and conducting rigorous backtesting and validation. You will collaborate closely with portfolio managers, traders, and technology teams to ensure that quantitative insights are effectively integrated into business operations. A deep understanding of econometrics, time-series analysis, machine learning techniques, and statistical modeling is essential. Experience with financial markets, derivatives, and regulatory requirements is also a must. The ideal candidate will possess exceptional leadership qualities, the ability to mentor and develop talent, and a proven track record of delivering impactful analytical solutions in a high-pressure environment. Strong programming skills in languages such as Python, R, or C++ are required. This role demands a proactive approach, intellectual curiosity, and the ability to translate complex mathematical concepts into clear business recommendations. As a fully remote position, you will leverage advanced collaboration tools to maintain seamless communication and project execution. Join our client's world-class team and redefine quantitative finance from your home office.

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.
+ Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
+ Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
+ Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs.
+ Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models.
+ Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
+ Develops machine learning/deep learning models. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
+ Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
+ Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviours in all that they do.
+ Ensures alignment between values and behaviours that fosters diversity and inclusion.
+ Regularly connects work to BMO's purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through.
**Qualifications:**
Advanced level of proficiency:
+ Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field.
+ 5+ years of data science experience.
+ In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc.
+ Data visualization and polished communication skills.
+ Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment.
+ Highly analytical, technically proficient, and able to learn new tools and ML models quickly.
+ Trust, bias and ethics.
+ Collaboration & team skills; with a focus on cross-group collaboration.
+ Able to manage ambiguity.
+ Data driven decision making.
+ Experience with GenAI LLM models
+ Experience with MLOps, building workflows for model retraining, monitoring and deploying
+ Experience with ML frameworks such as TensorFlow, PyTorch
+ Experience with cloud-based data platforms such as AWS or Azure
+ Experience with data visualization tools such as Power BI
**Salary:**
$122,400.00 - $228,000.00
**Pay Type:**
Salaried
The above represents BMO Financial Group's pay range and type.
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.
BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: Us**
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.
To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Our client, a prominent financial institution, is seeking an accomplished Director of Quantitative Analysis to lead their sophisticated financial modeling and risk management initiatives. This critical role operates on a fully remote basis, requiring exceptional analytical acumen and leadership skills to guide a globally distributed team. You will be responsible for developing and implementing advanced quantitative models for pricing complex financial instruments, managing market risk, and optimizing investment strategies. This includes overseeing the entire lifecycle of model development, from conceptualization and validation to implementation and ongoing monitoring. Key duties involve collaborating with traders, portfolio managers, and compliance officers to ensure models align with business objectives and regulatory requirements. The successful candidate will possess a deep understanding of stochastic calculus, econometrics, and statistical modeling, coupled with extensive experience in programming languages such as Python, R, or C++. You will also play a crucial role in mentoring and developing junior quants, and presenting complex analytical findings to senior management and stakeholders. Requires a Ph.D. or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, or Financial Engineering, with a minimum of 10 years of progressive experience in quantitative finance, preferably within investment banking or asset management. Proven ability to manage complex projects and teams in a remote, high-pressure environment is essential. Strong communication and presentation skills are a must. This position offers the flexibility of a remote work arrangement while providing significant opportunities for professional growth and impact within the financial markets.

California, US residents click here ( .
**The job details are as follows:**
**Who we are**
We are the first publicly-traded biotech or pharmaceutical company to take the form of a public benefit corporation. Our public benefit purpose is to provide a brighter future for patients through the development of novel pharmaceutical therapies; and technologies that expand the availability of transplantable organs.
United Therapeutics (Nasdaq: **UTHR** ) seeks to travel down the corridors of indifference to develop treatments for rare, deadly diseases. We were founded in 1996 by a family seeking a cure for their daughter's pulmonary arterial hypertension( **PAH)** . Today, we have six FDA-approved therapies that treat PAH, pulmonary hypertension associated with interstitial lung disease ( **PH-ILD** ) and neuroblastoma, a rare pediatric cancer. Our near-term pipeline seeks to develop additional therapies for PAH and pulmonary fibrosis ( **PF** ).
The cure for end-stage life-threatening diseases like PAH, PH-ILD, PF, and many others is an organ transplant, but only a small percentage of donated organs are available to address the vast need. For this reason, we are working to create bio-artificial organs to address the shortage of kidneys, hearts, lungs, and livers available for transplant. We believe an unlimited supply of tolerable, transplantable organs will eliminate the transplant waiting list and cure end-stage organ diseases for which transplant is not currently an option.
**Who you are:**
Our Regenerative Medicine Lab (RML) is seeking their next imaging superstar and the bar has been set super high! We are looking for our human who thrives in front of a computer analyzing large amounts of data and developing processes to scale. The Senior Research Associate, Quantitative Image Analysis role will conduct and assist in the development and analysis of engineered human lungs to combat the shortage of transplantable organs using advanced image analysis techniques to assess experimental outcomes. Are you looking to learn from the best imaging and analysis folks around while working to change the world? Apply here:
+ Quantify key experimental outcomes by analyzing whole slide images of bioengineered lung tissue using advanced image analysis techniques
+ Independently test, run, quality control, and report image analyses focused on scaffold recellularization outcomes
+ Design and implement custom scripts, macros, and code using tools such as QuPath, FIJI, and Python to support and automate quantitative image analysis workflows
+ Collaborate with scientists across research groups to translate complex biological questions into quantifiable image-based metrics that support experimental objectives
+ Collaborate with the Analytical Development team to support IHC biomarker development aligned with image analysis priorities
+ Perform image analysis tasks proficiently and communicate results clearly and promptly to relevant stakeholders
+ Identify and apply additional analytical approaches as needed to enhance understanding and interpretation of experimental results
+ Assist in evaluating and integrating new technologies or methodologies in collaboration with RML team members and external vendors
+ Make informed technical or scientific decisions during analysis with minimal supervision
+ Participate in tech transfer activities with internal or external parties as needed
+ Record all laboratory data in the in-house data management system(s)
+ Adhere to prescribed laboratory methods and SOPs under GLP/GMP-like conditions
+ Follow all laboratory safety protocols, including proper use of personal protective equipment and safe handling of biohazardous materials such as human or animal cells and tissues
+ May be responsible for training new team members on specific tasks
+ May handle human tissue, cells, and/or materials that come into contact with human cells that may carry infectious agents. Shall comply with appropriate safety procedures and exercise universal precautions
+ Perform all other duties as assigned
**Minimum Qualifications**
+ 5+ years of post-baccalaureate laboratory experience in biology, cellular and molecular biology, or biomedical sciences with a Bachelor's Degree OR 3+ years of post-baccalaureate laboratory experience in biology, cellular and molecular biology, or biomedical sciences with a Master's Degree
+ Experience with quantitative image analysis of biological samples using QuPath, FIJI, Python, or other image processing tools
+ Ability to flag and troubleshoot unsatisfactory IHC stains with minimal assistance
+ Ability to independently follow experimental methods and protocols
+ Excellent laboratory technique, with experience in laboratory instrumentation and experimental design
+ Experience with processing software and data analysis, including statistical methods and data processing workflows
+ Proficient with standard software tools, including word processing, spreadsheets, and presentation platforms
+ Ability to effectively interpret, organize, and present data in a clear and meaningful way
+ Proficiency in project management and research methodology, including implementation, analysis, and reporting
+ Ability to work efficiently in a team setting and collaborate with a diverse set of peers
+ Strong written and oral communication skills
**Preferred Qualifications**
+ Experience with fluorescence microscopy or other advanced imaging techniques
+ Experience interpreting data from analytical techniques such as Western Blot, ELISA, and RT-PCR
**Job Location**
This role is located 100% onsite in RTP, North Carolina.
Eligible employees may participate in the Company's comprehensive benefits suite of programs, including medical / dental / vision / prescription coverage, employee wellness resources, savings plans (401k and ESPP), paid time off & paid parental leave benefits, disability benefits, and more. For additional information on Company benefits, please visit Therapeutics Corporation is an Equal Opportunity Employer, including veterans and individuals with disabilities.
_We strive to be an organization that engages the minds, hearts, and most spirited efforts of each of our employees. Our sense of purpose transforms what we do from work into mission, occupation into vocation and achievement into success._
_We challenge our employees with innovative and revolutionary projects, offer an environment which fosters high-level job performance and provide a highly competitive total rewards package. This is what makes United Therapeutics a stimulating place to work._

**Job Description:**
**This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.**
Imagine a startup inside a big company-with funding, at scale. We're building a big-data software intelligence platform that transforms data generated throughout the software development lifecycle (code, user stories, pipelines, scanning tools) into insights and optimization tools.
Our goal is to help over 1,000 R&D teams at AT&T continuously improve as they develop digital products for tens of millions of customers. Our team oversees numerous business KPIs and utilizes cutting-edge tools and strategies.
**Responsibilities:**
+ Analyze and explore large, complex data sets representing key business drivers, trends, and operational metrics.
+ Collaborate with data engineers to aggregate and clean large data sets.
+ Conceptualize, create, automate, and maintain dashboards for tracking key metrics and experiments.
+ Proactively provide meaningful insights and recommendations to the business that drive decision-making.
**Requirements:**
+ Minimum 5 years of experience as a Data Analyst, Data Engineer, or Data Scientist (required)
+ Experience defining and monitoring business KPIs (required)
+ Proficiency in SQL (required)
+ Proficiency with data visualization tools (Tableau, Power BI, Adobe, Quantum Metrics, Snowsight) (required)
+ At least 1.5 years of experience working with clickstream data (required)
+ Strong communication and storytelling skills (required)
+ Excellent English (required)
+ Familiarity with Python and machine learning (an advantage)
+ BSc/BA in a quantitative field such as Engineering, Mathematics, Physics, or Economics (an advantage)
+ Experience with personalization tools and reporting (an advantage)
+ Experience with AT&T data (an advantage)
Our Lead Data Analysis earns between $116,700-$75,100 USD Annual, Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. 
**Joining our team comes with amazing perks and benefits:**
+ Medical/Dental/Vision coverage 
+ 401(k) plan 
+ Tuition reimbursement program 
+ Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays) 
+ Paid Parental Leave 
+ Paid Caregiver Leave 
+ Additional sick leave beyond what state and local law require may be available but is unprotected 
+ Adoption Reimbursement 
+ Disability Benefits (short term and long term) 
+ Life and Accidental Death Insurance 
+ Supplemental benefit programs: critical illness/accident hospital indemnity/group legal 
+ Employee Assistance Programs (EAP) 
+ Extensive employee wellness programs 
+ Employee discounts up to 50% off on eligible AT&T mobility plans and accessories,
+ AT&T internet (and fiber where available) and AT&T phone.
#LI-Onsite - Full-time office role-
We are hiring for various positions within the company, with some roles offered through outsourcing. Join us and enjoy a dynamic and flexible work environment.
**Ready to join our team? Apply today**
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
Atlanta, Georgia
**Salary Range:**
$116,700.00 - $175,100.00
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

Data Analysis Engineer
**_At_** **_Henkel,_** **_you'll_** **_be_** **_part_** **_of_** **_an_** **_organization_** **_that's_** **_shaping_** **_the_** **_future_** **_through_** **_innovation,_** **_sustainability_** **_and_** **_collaboration._** **_With_** **_our_** **_trusted_** **_brands_** **_like_** **_Persil®,_** **_'all®,_** **_Loctite®,_** **_Snuggle®,_** **_and_** **_Schwarzkopf®_** **_and_** **_our_** **_cutting-edge_** **_technologies,_** **_you'll_** **_have_** **_countless_** **_opportunities_** **_to_** **_explore_** **_new_** **_paths_** **_and_** **_grow._** **_This_** **_position_** **_is_** **_with_** **_our_** **_Adhesive_** **_Technologies_** **_business_** **_unit_** **_-_** **_where_** **_we_** **_empower_** **_our_** **_people_** **_to_** **_transform_** **_industries_** **_and_** **_provide_** **_our_** **_customers_** **_with_** **_a_** **_competitive_** **_advantage_** **_through_** **_adhesives,_** **_sealants_** **_and_** **_functional_** **_coatings._** **_Dare_** **_to_** **_learn_** **_new_** **_skills,_** **_advance_** **_in_** **_your_** **_career_** **_and_** **_make_** **_an_** **_impact_** **_at_** **_Henkel._**
What you´ll do
+ This position is responsible for the implementation of project work to enhance Manufacturing Execution Systems (MES) and applications.
+ The Data Analysis Engineer is responsible for trouble shooting complex systems-based issues in a fast-paced manufacturing environment.
+ As the Manufacturing Engineering Team works on process improvement projects, the Data Analysis Engineer will play an active and critical role by providing data and insights to help achieve the greatest positive impact.
+ Leverage data and technology to improve organizational efficiency
+ Identify improvement opportunities through analysis of factory operational data
+ Responsible for analyzing and summarizing existing process needs, establishing future data models, and working cooperatively with external resources to develop data informed solutions
+ Identify and implement solutions for short- and long-term systems issues through solid root cause analysis
+ Identify opportunities for digitization and / or automation
+ Acts as a subject matter expert for the discernment of systems and automation project feasibility
+ Responsible for the execution of MES project deployment
+ Acts as the local factory's primary contact with Henkel IT and third part resources
+ Develops and conducts training to all levels of MES users
+ Works closely and collaboratively with factory engineers to support daily operations and improvement projects
+ Ensures the security of operational systems and data
At Henkel, you'll be part of an organization that's shaping the future through innovation, sustainability and collaboration. With our trusted brands like Persil®, 'all®, Loctite®, Snuggle®, and Schwarzkopf® and our cutting-edge technologies, you'll have countless opportunities to explore new paths and grow.
This position is with our Adhesive Technologies business unit - where we empower our people to transform industries and provide our customers with a competitive advantage through adhesives, sealants and functional coatings.
Dare to learn new skills, advance in your career and make an impact at Henkel.
**What makes you a good fit**
+ Collects and analyzes data; able to use statistical tools to validate data findings
+ Responds well to questions; able to clearly articulate thinking; can present in front of a team
+ Able to create documents, e.g. project summaries, process instructions, training materials, etc., that are clear and effective
+ Ability to work with teams and work through conflict in a professional manner
+ Proficient with Microsoft products, e.g., Excel, Power BI, etc.
+ Can demonstrate Problem Solving and Project Management skillset
+ Experience in manufacturing environments
+ Ability to collaborate and work effectively in a variety of teams, including multi-disciplinary teams, at all levels
+ Ability to plan, manage, and execute complex project activities to a successful conclusion while demonstrating a strong work ethic experience
+ Bachelor's Degree in: Computer Information Systems, Computer Science, Business Technology, or similar
+ Experience with SAP, MES/DCS/PLC or SCADA systems
+ VBA and/or Python coding knowledge (VBA preferred)
**Some benefits of joining Henkel**
+ Health Insurance: affordable plans for medical, dental, vision and wellbeing starting on day 1
+ Work-Life Balance: Paid time off including sick, vacation, holiday and volunteer time, and vacation buy / sell program
+ Financial: 401k matching, employee share plan with voluntary investment and Henkel matching shares, annual performance bonus, service awards and student loan reimbursement
+ Family Support: 12-week gender neutral parental leave (up to 20 weeks for parents giving birth), fertility support, adoption & surrogacy reimbursement, discounted child and elderly care, and scholarships
+ Career Growth: diverse national and international growth opportunities, access to thousands of skills development courses, and tuition reimbursement
The salary for this role is $70,000.00 - $93,000.00. This is the range that we in good faith anticipate relying on when setting wages for this position. We may ultimately pay more or less than the posted range and this range. This salary range may also be modified in the future.
Henkel does not accept unsolicited resumes from search firms or employment agencies. Unsolicited referrals and resumes are considered Henkel property and therefore, Henkel will not pay a fee for any placement resulting from the receipt of an unsolicited referral.
Henkel is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.
**JOB ID:**
**Job Locations:** United States, SD, Brandon, SD
**Contact information for application-related questions:**
Please do not use this email address for sending your application or CV. To apply, please click on the "Apply for this role" button below. Applications sent via e-mail will not be accepted.
**Application Deadline:** As long as the vacancy is listed on our Career Site, we are happy to receive your application
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How is work at Henkel

Data Analysis Architect
**Req number:**
R6258
**Employment type:**
Full time
**Worksite flexibility:**
Hybrid
**Who we are**
CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right-whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
**Job Summary**
We are looking for a motivated Data Analysis Architect ready to take us to the next level! If you have experience with Sage/Agate grant management systems and at least 10 years in data architecture or systems planning, and are looking for your next career move, apply now.
**Job Description**
We are looking for a **Data Analysis Architect** to conduct requirements analysis and oversee data management for the Sage and Agate Grant Management systems. This position will be **full-time** contract and **hybrid** requiring three days per week in office in Trenton, New Jersey.
**What You'll Do**
+ Partner with stakeholders to understand business needs and current data challenges
+ Conduct analysis to identify gaps and opportunities in existing data systems
+ Develop clear plans and roadmaps for improving data management and integration
+ Oversee project timelines, deliverables, and scope to ensure successful outcomes
+ Translate complex ideas into accessible concepts for non-technical audiences
+ Support decision-making by providing insights and recommendations based on data analysis
+ Ensure that proposed solutions align with organizational goals and existing systems
**What You'll Need**
Required:
+ Experience with grant management systems (Sage/Agate)
+ At least 10 years of experience in a data architecture or systems planning role
+ Strong ability to engage with stakeholders and lead collaborative discussions
+ Proven track record of designing practical solutions using existing systems
+ Comfortable working with data concepts and systems, with a focus on strategy and planning
+ Excellent communication and organizational skills
Preferred:
+ Advanced knowledge of data integration and analytics tools
+ Experience in public sector or healthcare-related data architecture
**Physical Demands**
+ Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state and local standards
+ Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
+ Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
**Reasonable accommodation statement**
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to or (888) 824 - 8111.
$0 - 68 per hour
The pay range for this position is listed above. Exact compensation may vary based on several factors, including location, experience, and education. Benefit packages include medical, dental, and vision insurance, as well as 401k retirement account access. Employees in this role receive paid time off and may also be entitled to paid sick leave and/or other paid time off as provided by applicable law.

Data Analysis Architect

Location: Trenton, NJ (Hybrid)

Duration: 12+ Months

Job Summary

• Required skills, experience, etc.: 10+ years of experience with data architecture or systems planning, experience with grant management systems (Sage/Agate), designing practical solutions using existing systems, advanced knowledge of data integration and analytics tools, experience in public sector or healthcare related data architecture

Interview process: 2 interviews with Client - 1 virtual technical interview, and 1 onsite interview-must be local

Job Description

We are looking for a Data Analysis Architect to conduct requirements analysis and oversee data management for the Sage and Agate Grant Management systems.

What You'll Do  

• Partner with stakeholders to understand business needs and current data challenges
• Conduct analysis to identify gaps and opportunities in existing data systems
• Develop clear plans and roadmaps for improving data management and integration
• Oversee project timelines, deliverables, and scope to ensure successful outcomes
• Translate complex ideas into accessible concepts for non-technical audiences
• Support decision-making by providing insights and recommendations based on data analysis
• Ensure that proposed solutions align with organizational goals and existing systems

What You'll Need  

Required: 

• Experience with grant management systems (Sage/Agate)
• At least 10 years of experience in a data architecture or systems planning role
• Strong ability to engage with stakeholders and lead collaborative discussions
• Proven track record of designing practical solutions using existing systems
• Comfortable working with data concepts and systems, with a focus on strategy and planning
• Excellent communication and organizational skills

Preferred:

• Advanced knowledge of data integration and analytics tools
• Experience in public sector or healthcare-related data architecture