Data Science Engineer Visa Sponsorship Jobs in Rhode Island
Data science engineer visa sponsorship jobs in Rhode Island are concentrated in Providence, with employers like CVS Health, Amica Mutual Insurance, and Brown University driving demand. The state's growing healthcare analytics and financial services sectors create steady openings for international candidates, and Rhode Island's compact size means most opportunities are within commuting distance of each other.
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Get Access To All JobsINTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
We are seeking a senior leader to drive product, domain, and team leadership within a defined Supply Chain portfolio, with a focus on areas such as OSA, upstream intelligence, and final mile.
This role is embedded within the portfolio delivery structure led by portfolio leader and is accountable for leading teams, advancing product capabilities, and delivering business outcomes within a defined domain.
In addition, this role brings specialized expertise in AI‑driven business intelligence, agentic solution design, and applied AI innovation, helping evolve portfolio products into scalable, decision‑centric systems.
This is not a portfolio ownership role. Instead, it is a domain expertise and people leadership role within the portfolio, translating strategy into execution while advancing how AI is applied to core business problems.
KEY RESPONSIBILITIES:
Domain Expertise & Product Leadership within Portfolio
- Lead a set of products and solution areas within the Supply Chain portfolio, including domains such as:
- On‑Shelf Availability (OSA)
- Upstream intelligence
- Final mile and fulfillment
- Own day‑to‑day product execution, quality, and performance within the domain
- Translate portfolio priorities (set by leadership) into clear product direction and delivery plans
- Identify opportunities to expand impact and improve outcomes within assigned domains
Delivery Leadership - Aligned to Portfolio Ownership
- Lead teams responsible for delivering solutions within the domain, operating under the broader portfolio delivery structure
- Partner closely with portfolio lead to ensure:
- Alignment to portfolio delivery priorities
- Strong execution across initiatives
- Consistency in operating model and quality
- Drive accountability for timelines, outcomes, and business impact within the domain
- Ensure strong coordination across analytics, product, engineering, and business teams
People Leadership & Team Development
- Directly manage and develop squads aligned to the domain
- Provide coaching on:
- Problem framing
- Solution design
- Stakeholder engagement
- AI and analytics application
- Build a high‑performing team with strong ownership, accountability, and domain expertise
- Support career development and progression of team members
Applied AI & Product Innovation
- Apply AI, GenAI, and advanced analytics to enhance products within the domain
- Identify opportunities to improve:
- Decision quality
- Speed
- Automation
- Insight generation
- Lead targeted prototyping and experimentation where needed, ensuring alignment to business value and scalable outcomes
- Embed AI capabilities into products as part of core delivery
Specialized SME Scope: AI for BI & Solution Architecture
- Serve as the domain’s subject matter expert in AI‑driven business intelligence (AI4BI)
- Lead the design and implementation of agentic workflows and intelligent decision systems, including:
- Exception detection
- Root‑cause analysis
- Workflow orchestration
- Insight generation
- Act as a strategic solution architect within the domain, ensuring alignment between:
- Data and signals
- Models and business logic
- Decision workflows and execution
- Guide teams in evolving existing analytics solutions into scalable, AI‑enabled products
- Share reusable patterns and approaches across teams where relevant, in alignment with portfolio leadership
Strategic Alignment & Cross‑Functional Influence
- Partner with AI Strategist to align domain work with broader AI portfolio strategy and priorities
- Provide input into roadmap decisions from a domain and execution perspective
- Act as a trusted partner to Supply Chain and Merch stakeholders within the domain
- Translate technical capabilities into clear business insights and decisions
WHAT SUCCESS LOOKS LIKE
- Strong, measurable impact across domain areas such as OSA, upstream intelligence, and final mile
- High‑quality, reliable delivery aligned to portfolio priorities under Anita Srinivasan
- Teams that operate with strong ownership, execution rigor, and increasing AI fluency
- Products that evolve into AI‑enabled, decision‑centric systems
Faster translation from business problem solution to measurable value
Stakeholders view this leader as a trusted operator and domain expert
REQUIRED QUALIFICATIONS
- 10+ years in data science, analytics, product, or strategy roles
- Strong Supply Chain domain expertise (inventory, forecasting, operations, fulfillment)
- Proven experience leading teams and delivering complex, cross‑functional initiatives
- Demonstrated ability to drive business impact through analytics and AI solutions
- Experience working in matrixed and portfolio‑based organizations
PREFERRED QUALIFICATIONS
- Experience applying AI/ML, GenAI, or advanced analytics in production settings
- Familiarity with agentic systems and AI‑driven decision intelligence
- Consulting or similar strategic problem‑solving background
- Experience partnering with data engineering and platform teams
- Retail supply chain experience
Education
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master's degree preferred
PAY RANGE
The typical pay range for this role is:
$144,200.00 - $288,400.00
This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 08/09/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
INTRODUCTION
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
We are seeking a senior leader to drive product, domain, and team leadership within a defined Supply Chain portfolio, with a focus on areas such as OSA, upstream intelligence, and final mile.
This role is embedded within the portfolio delivery structure led by portfolio leader and is accountable for leading teams, advancing product capabilities, and delivering business outcomes within a defined domain.
In addition, this role brings specialized expertise in AI‑driven business intelligence, agentic solution design, and applied AI innovation, helping evolve portfolio products into scalable, decision‑centric systems.
This is not a portfolio ownership role. Instead, it is a domain expertise and people leadership role within the portfolio, translating strategy into execution while advancing how AI is applied to core business problems.
KEY RESPONSIBILITIES:
Domain Expertise & Product Leadership within Portfolio
- Lead a set of products and solution areas within the Supply Chain portfolio, including domains such as:
- On‑Shelf Availability (OSA)
- Upstream intelligence
- Final mile and fulfillment
- Own day‑to‑day product execution, quality, and performance within the domain
- Translate portfolio priorities (set by leadership) into clear product direction and delivery plans
- Identify opportunities to expand impact and improve outcomes within assigned domains
Delivery Leadership - Aligned to Portfolio Ownership
- Lead teams responsible for delivering solutions within the domain, operating under the broader portfolio delivery structure
- Partner closely with portfolio lead to ensure:
- Alignment to portfolio delivery priorities
- Strong execution across initiatives
- Consistency in operating model and quality
- Drive accountability for timelines, outcomes, and business impact within the domain
- Ensure strong coordination across analytics, product, engineering, and business teams
People Leadership & Team Development
- Directly manage and develop squads aligned to the domain
- Provide coaching on:
- Problem framing
- Solution design
- Stakeholder engagement
- AI and analytics application
- Build a high‑performing team with strong ownership, accountability, and domain expertise
- Support career development and progression of team members
Applied AI & Product Innovation
- Apply AI, GenAI, and advanced analytics to enhance products within the domain
- Identify opportunities to improve:
- Decision quality
- Speed
- Automation
- Insight generation
- Lead targeted prototyping and experimentation where needed, ensuring alignment to business value and scalable outcomes
- Embed AI capabilities into products as part of core delivery
Specialized SME Scope: AI for BI & Solution Architecture
- Serve as the domain’s subject matter expert in AI‑driven business intelligence (AI4BI)
- Lead the design and implementation of agentic workflows and intelligent decision systems, including:
- Exception detection
- Root‑cause analysis
- Workflow orchestration
- Insight generation
- Act as a strategic solution architect within the domain, ensuring alignment between:
- Data and signals
- Models and business logic
- Decision workflows and execution
- Guide teams in evolving existing analytics solutions into scalable, AI‑enabled products
- Share reusable patterns and approaches across teams where relevant, in alignment with portfolio leadership
Strategic Alignment & Cross‑Functional Influence
- Partner with AI Strategist to align domain work with broader AI portfolio strategy and priorities
- Provide input into roadmap decisions from a domain and execution perspective
- Act as a trusted partner to Supply Chain and Merch stakeholders within the domain
- Translate technical capabilities into clear business insights and decisions
WHAT SUCCESS LOOKS LIKE
- Strong, measurable impact across domain areas such as OSA, upstream intelligence, and final mile
- High‑quality, reliable delivery aligned to portfolio priorities under Anita Srinivasan
- Teams that operate with strong ownership, execution rigor, and increasing AI fluency
- Products that evolve into AI‑enabled, decision‑centric systems
Faster translation from business problem solution to measurable value
Stakeholders view this leader as a trusted operator and domain expert
REQUIRED QUALIFICATIONS
- 10+ years in data science, analytics, product, or strategy roles
- Strong Supply Chain domain expertise (inventory, forecasting, operations, fulfillment)
- Proven experience leading teams and delivering complex, cross‑functional initiatives
- Demonstrated ability to drive business impact through analytics and AI solutions
- Experience working in matrixed and portfolio‑based organizations
PREFERRED QUALIFICATIONS
- Experience applying AI/ML, GenAI, or advanced analytics in production settings
- Familiarity with agentic systems and AI‑driven decision intelligence
- Consulting or similar strategic problem‑solving background
- Experience partnering with data engineering and platform teams
- Retail supply chain experience
Education
- Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master's degree preferred
PAY RANGE
The typical pay range for this role is:
$144,200.00 - $288,400.00
This pay range represents the base hourly rate or base annual full‑time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short‑term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
GREAT BENEFITS FOR GREAT PEOPLE
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 08/09/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Data Science Engineer Job Roles in Rhode Island
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Search Data Science Engineer Jobs in Rhode IslandData Science Engineer Jobs in Rhode Island: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Rhode Island?
CVS Health, headquartered in Woonsocket, is among the most active sponsors in the state, regularly hiring data science engineers for its health analytics and pharmacy benefit divisions. Brown University and the University of Rhode Island also sponsor roles in research settings. Amica Mutual Insurance, Thundermist Health Center, and fintech-adjacent firms in Providence have filed LCAs for data engineering and applied science positions as well.
Which visa types are most common for data science engineer roles in Rhode Island?
The H-1B visa is the most common visa category for data science engineers in Rhode Island, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates from Australia may qualify for the E-3 visa, and those from Canada or Mexico can explore the TN visa under the NAFTA/USMCA engineer category. L-1B transfers are also used by multinationals with Rhode Island offices.
Which cities in Rhode Island have the most data science engineer sponsorship jobs?
Providence accounts for the large majority of data science engineer sponsorship activity in Rhode Island, driven by its concentration of healthcare companies, universities, and financial services firms. Woonsocket is notable due to CVS Health's corporate presence. Smaller pockets of activity exist in Warwick and Cranston, primarily from healthcare and insurance employers. Rhode Island's geography means most roles are realistically accessible from anywhere in the state.
How to find data science engineer visa sponsorship jobs in Rhode Island?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science engineer roles in Rhode Island without sifting through positions that don't support international candidates. You can filter by state and role type to surface openings at employers like CVS Health and Brown University that have a documented history of filing H-1B and other work visa petitions for this occupation.
Are there state-specific factors that affect data science engineer visa sponsorship in Rhode Island?
Rhode Island's sponsorship activity is heavily shaped by its healthcare and insurance sectors, which means data science engineers with domain knowledge in clinical data, claims analytics, or actuarial modeling have a stronger fit with local employers. Brown University's data science programs create a steady pipeline of OPT candidates, making employers in Providence familiar with sponsoring international talent. The state's smaller employer pool means fewer total openings than neighboring Massachusetts, so candidates often look at both markets simultaneously.
What is the prevailing wage for sponsored data science engineer jobs in Rhode Island?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.