AI Product Owner Jobs in USA with Visa Sponsorship
AI Product Owner roles attract strong H-1B visa and O-1 visa sponsorship from U.S. tech employers because the position requires a specialized blend of machine learning product strategy and technical fluency that qualifies as a specialty occupation under USCIS guidelines. For detailed occupation requirements, see the O*NET profile.
See All AI Product Owner JobsOverview
Showing 5 of 455+ AI Product Owner jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 455+ AI Product Owner jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Owner roles.
Get Access To All Jobs
Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives.
Summary
The Associate Director, Commercial AI Product Owner is responsible for leading the transformation of advanced analytics into durable, scalable, and AI-powered solutions that directly accelerate commercial decision-making across the enterprise. You will collaborate across global teams—including BI&T, Data Science, and the engineering/analytics group—to deliver high-quality, production-grade analytics platforms, tools, and automation that embed actionable intelligence into everyday workflows for Marketing, Field, and Market Access stakeholders. This role enables the shift from project-based analytics to platform-enabled, always-on decision intelligence.
You will operate within a hub-and-spoke model, setting standards, governance, and reusable components that empower therapeutic area-aligned teams while driving enterprise-wide consistency, speed, and reliability. You’ll be a technical and strategic leader, guiding cross-functional pods, productizing analytical models, and driving innovation within agentic AI platforms to support forward-looking, actionable brand and omnichannel insights.
Responsibilities:
Tools, Automation, & AI Products
- Product Ownership: Serve as dedicated product owner for the Agentic MMx (Marketing Mix) Platform - own its strategy, vision, roadmap, and stakeholder alignment in partnership with BI&T and Data Science. Drive the ongoing evolution of this self-service analytics hub to deliver advanced capabilities, including KDA, scenario simulation, investment planning, constrained optimization, and real-time decision support.
- Pod Leadership: Lead the Tools & Automated Solutions cross functional team across BI&T, Data Science, TA Analytics, and analytics/engineering to architect, launch, and maintain scalable analytics solutions—covering dashboards, always-on insights, scenario simulators, measurement pipelines, and democratized KDA platforms.
- Collaboration: Partner with BI&T, Data Science, TA Analytics, and engineering to deliver analytics-ready datasets, feature stores, semantic layers, and automated data pipelines, standardizing and accelerating insight generation.
- Efficiency and Innovation: Champion automation, templated workflows, and platformization to reduce manual effort and external vendor reliance, maximizing reuse and operational efficiency. Continuously identify opportunities for tool innovation and scalable enablement of best practice measurement solutions.
- Integrate decision science outputs into annual planning, CRM (e.g., Veeva), and omnichannel orchestration workflows via APIs and embedded dashboards to ensure sustained adoption and business impact.
- Develop monitoring and governance dashboards for real-time oversight of model/data health, user adoption, SLAs, drift/stability, and auditability.
Agentic & AI Capability Development
- Architect and deploy autonomous and semi-autonomous analytics agents using multi-agent frameworks, enabling progression from descriptive analytics to causal analysis, root-cause insights, and predictive recommendations.
- Own the AI product lifecycle: manage proof-of-concept, pilot, rollout, and continuous optimization; establish robust governance covering safety, security, ethical standards, and privacy compliance.
Cross-Functional Team Management & Enablement
- Lead cross-functional pods (BI&T engineers, analytics/data engineers, platform SMEs), managing product roadmaps, agile backlogs, and release cycles.
- Codify and promote engineering standards for deployment, MLOps, CI/CD, QA/testing, SLAs/SLOs, and RACI matrices for reliability and quality.
- Standardize and scale processes, maximize component reuse, minimize vendor dependence, and ensure governance and privacy compliance.
- Coach and enable enterprise and TA-aligned analytics teams, driving best practice adoption, technical enablement, and a culture of consistent delivery and innovation.
- Promote agile ways of working using collaboration platforms (e.g., Jira) for rapid development and communication.
Advance Governance, Compliance & Trust
- Partner with Data Governance, Legal, and Privacy teams to define and enforce data/AI governance: SLAs, RACI, privacy-by-design, and responsible/ethical AI controls.
- Ensure AI tools and solutions are explainable, auditable, and compliant; continuously monitor for bias, document decisions, and incorporate human-in-the-loop mechanisms where required.
- Lead structured change management and feedback loops to drive sustained tool adoption and measurable business outcomes.
Qualifications:
- Advanced degree (MS/PhD preferred) in Data Science, Statistics, Computer Science, Econometrics, or related quantitative field.
- Minimum 5 years of hands-on experience in pharma commercial analytics or decision science.
- Proficiency with causal inference and incrementality tools (geo-experiments, matched markets, synthetic controls, uplift modeling). Expertise in Bayesian/hierarchical MMx, adstock/distributed lag, saturation/response curve modeling, and operationalizing these methodologies in automated pipelines and platforms.
- Proven experience launching and scaling agentic AI solutions (multi-agent systems, LLMs, RAG, semantic layers, real-time architectures).
- Deep proficiency in enabling agent collaboration, negotiation, and task orchestration, including coordination of agent roles/functions within a commercial analytics or decision science context.
- Proven experience operationalizing LLMs for commercial use cases—knowledge retrieval, summarization, generative analytics, automation of insight generation.
- Experience embedding AI analytics platforms into commercial workflows with enterprise-wide adoption.
- Extensive knowledge of pharmaceutical data (claims, APLD, specialty pharmacy, digital signals, promotional data).
- Strong foundation in AI governance (risk management, security, privacy, model monitoring, human-in-the-loop) in regulated environments.
- Experience with cloud analytics platforms (Databricks, Snowflake, Spark), MLOps, and BI tools; understanding of HIPAA, GDPR/CCPA and regulatory standards.
- Mastery of programming and data science tools (Python, R), machine learning frameworks (scikit-learn, PyTorch), large-scale analytics environments, visualization platforms, and workflow automation.
- Familiarity with CRM (e.g., Veeva), omnichannel metrics, multi-touch attribution (MTA), and AI-driven next-best-action frameworks.
- Outstanding stakeholder engagement and communication skills—capable of translating complex analytics concepts into actionable business strategies.
Compensation Overview:
Princeton - NJ - US: $167,540 - $203,013
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit our careers site.
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
- Health Coverage: Medical, pharmacy, dental, and vision care.
- Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
- Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include:
Paid Time Off
- US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
- Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
Supporting People with Disabilities
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information.
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at careers.bms.com/fraud-protection.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at TAEnablement@bms.com. Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley.
See all 455+ AI Product Owner jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Owner roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Product Owner
Frame your role as a specialty occupation
USCIS requires a direct relationship between your degree and the role. Emphasize how your background in computer science, data science, or engineering maps specifically to AI product management, not just general product ownership.
Target employers with established AI product teams
Companies with dedicated AI divisions, such as enterprise software firms and cloud platforms, have legal infrastructure for sponsorship already in place and are more likely to initiate H-1B petitions for experienced AI Product Owners.
Quantify your AI product impact in applications
Sponsoring employers justify petitions to USCIS with job duty documentation. Highlight shipped AI features, model performance improvements, and cross-functional team leadership to make the specialty occupation argument concrete and defensible.
Understand the LCA wage tier before negotiating
Your employer files a Labor Condition Application certifying your wage meets prevailing levels for the role and location. Knowing which DOL wage tier your experience level falls under helps you negotiate from an informed position.
Consider O-1A if you have notable AI credentials
Published research, conference presentations, open-source contributions, or recognition in AI communities can qualify you for the O-1A extraordinary ability visa, which bypasses the H-1B lottery entirely and has no annual cap.
Start conversations with employers before the H-1B window
H-1B registration opens in March for an October 1 start date. Securing an offer three to four months earlier gives your employer time to prepare the petition and allows premium processing if your start date is time-sensitive.
AI Product Owner jobs are hiring across the US. Find yours.
Find AI Product Owner JobsFrequently Asked Questions
Does an AI Product Owner role qualify as an H-1B specialty occupation?
Yes, AI Product Owner roles regularly qualify as specialty occupations when the position requires a bachelor's degree or higher in a specific field such as computer science, data science, or engineering. The key is demonstrating that the role demands specialized theoretical and practical knowledge of AI and machine learning systems, not just general business or product management skills. Employers whose job descriptions require technical fluency in model evaluation, ML pipelines, or AI ethics frameworks present the strongest cases.
What degree does a sponsor need to document for an AI Product Owner H-1B petition?
The employer's H-1B petition must show the role normally requires at least a bachelor's degree in a specific related field. For AI Product Owner positions, computer science, data science, engineering, or information systems degrees are the strongest fit. A general business or management degree alone can create complications unless paired with graduate-level AI coursework or equivalent documented technical experience, since USCIS scrutinizes whether the degree-to-role connection is specific enough.
How do approval rates look for H-1B petitions in AI product management roles?
Approval rates for AI and technical product roles have remained high relative to non-technical positions, largely because employers at established tech companies can document a clear degree requirement. USCIS denial risk increases when the job description is written too broadly or resembles a general manager role rather than a technically specialized one. Working with an experienced immigration attorney to draft the job duties section significantly reduces the chance of a Request for Evidence.
Can I find AI Product Owner jobs with H-1B sponsorship in one place?
Migrate Mate is built specifically for this search. It filters job listings by sponsorship willingness so you're not cold-applying to roles where the employer has no infrastructure or history of sponsoring visas. AI Product Owner roles on Migrate Mate are sourced from employers already familiar with the H-1B process, which reduces the friction of raising the sponsorship question early in the interview cycle.
Is the O-1A visa a realistic alternative for AI product professionals who miss the H-1B lottery?
For AI Product Owners with a track record of recognized contributions, the O-1A is a genuine alternative. USCIS evaluates O-1A petitions on criteria including published work, judging others' contributions, original contributions of major significance, and high-remuneration evidence. Conference talks at NeurIPS, ICLR, or industry AI events, open-source projects with significant adoption, or advisory roles at AI startups can all contribute toward meeting the standard. Unlike the H-1B, there's no cap and no lottery.
What is the prevailing wage requirement for sponsored AI Product Owner jobs?
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.
See which AI Product Owner employers are hiring and sponsoring visas right now.
Search AI Product Owner Jobs