Data Product Manager Visa Sponsorship Jobs in California
Data product manager roles in California are concentrated in the San Francisco Bay Area, Los Angeles, and San Diego, where companies like Google, Meta, Salesforce, and Adobe regularly hire for these positions. The role sits at the intersection of data engineering and product strategy, making it one of the more sponsorship-active specializations in California's technology sector.
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Get Access To All JobsINTRODUCTION
Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.
At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.
THE JOB
As an AI Product Owner, you will serve as the strategic driver behind SCAN’s agentic AI platform, translating vision into actionable outcomes. You’ll own the requirements, validation strategy, and delivery of value, ensuring that robust, scalable, and innovative AI solutions meet evolving business needs. Your expertise will be pivotal in identifying organizational patterns and transforming them into proposals for new AI functionality, positioning the platform at the forefront of enterprise innovation.
You’ll collaborate with cross-functional teams—including engineering, product, business, and compliance—to shape and deliver impactful AI features. By fostering strong partnerships and sharing technical knowledge, you’ll ensure solutions are practical, scalable, and aligned with business goals.
ESSENTIAL JOB FUNCTIONS:
Requirements & Feature Ownership
- Gather, refine, and prioritize technical and business requirements for platform features and agents.
- Translate business needs and organizational patterns into clear, actionable specifications for engineering teams.
- Make trade-off decisions regarding implementation (e.g. AI vs. non-AI) and maintain a prioritized feature backlog.
Platform Strategy & Roadmapping
- Use market headwind/tailwind to scope and envision AI platform features, expanding from workflows, scheduling, triggers, and integration points.
- Strategize and roadmap development of APIs, Model Context Protocol (MCP), and knowledge/data management systems.
- Ensure seamless integration with internal and external data sources and services.
Business Alignment & Pattern Recognition
- Analyze organizational processes and identify recurring patterns that can be addressed with AI functionality.
- Propose and design new features that directly address business needs and drive measurable impact.
- Collaborate with cross-functional teams to ensure solutions are practical, scalable, and compliant.
Test Strategy & Quality Assurance
- Define acceptance criteria and test strategies for platform features and agents.
- Ensure rigorous validation of AI functionality and alignment with business goals.
- Define KPIs and oversee test coverage, reliability, performance metrics, and evals.
Documentation & Knowledge Sharing
- Maintain clear, up-to-date documentation for requirements, test strategies, workflows, APIs, and agents.
- Share technical knowledge and best practices with engineering and business teams.
- We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
- Actively support the achievement of SCAN’s Vision and Goals.
- Other duties as assigned.
YOUR QUALIFICATIONS
- Bachelor's Degree or equivalent experience in Computer science, Engineering, or a related field.
- Demonstrates deep technical proficiency in AI platform architecture, agentic orchestration, workflow automation, and context engineering.
- Collaborates effectively with cross-functional teams—including engineering, product, business, and compliance—to deliver robust, scalable AI solutions.
- Communicates complex technical concepts clearly to both technical and non-technical stakeholders.
- Proactively identifies organizational patterns and translates them into actionable AI feature proposals.
- Exhibits strong stakeholder management and change leadership skills, driving alignment and adoption across the organization.
- Develops and executes comprehensive test strategies for complex AI systems, ensuring quality and reliability.
- Maintains up-to-date documentation and shares best practices to foster a culture of continuous learning and improvement.
- Demonstrates familiarity with vectors, embeddings, knowledge representation, and knowledge graph or graph RAG.
- Shows proficiency with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, AI Search Service, Snowflake, and Databricks.
PREFERRED CERTIFICATIONS OR LICENSES:
- SAFe Agile Certification or equivalent agile product ownership certification.
- Relevant certifications in Azure AI (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate) or other cloud AI platforms.
- Certifications in data engineering, machine learning, or AI solution architecture are a plus.
EXPERIENCE PREFERRED:
- Experience in AI platform architecture, agentic orchestration, workflow automation, or context engineering.
- Hands-on experience with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, and AI Search Service.
- Experience with Snowflake, Databricks, or similar data platforms.
- Background in healthcare (health plan/payer environment preferred), regulated industries, or enterprise-scale AI deployments.
- Proven ability to translate business needs into technical requirements and deliver outcomes through cross-functional teams.
- Strong stakeholder management, communication, and change leadership skills.
- Demonstrated ability to envision comprehensive test strategies for complex AI systems.
WHAT'S IN IT FOR YOU?
- Base Salary Range: $106,200 to $182,983 annually
- An annual employee bonus program
- Robust Wellness Program
- Generous paid-time-off (PTO)
- 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
- Excellent 401(k) Retirement Saving Plan with employer match
- Robust employee recognition program
- Tuition reimbursement
- An opportunity to become part of a team that makes a difference to our members and our community every day!
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
INTRODUCTION
Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the “12 Angry Seniors.” Their mission continues to guide everything we do.
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.
At SCAN, we believe scale should strengthen—not dilute—our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.
THE JOB
As an AI Product Owner, you will serve as the strategic driver behind SCAN’s agentic AI platform, translating vision into actionable outcomes. You’ll own the requirements, validation strategy, and delivery of value, ensuring that robust, scalable, and innovative AI solutions meet evolving business needs. Your expertise will be pivotal in identifying organizational patterns and transforming them into proposals for new AI functionality, positioning the platform at the forefront of enterprise innovation.
You’ll collaborate with cross-functional teams—including engineering, product, business, and compliance—to shape and deliver impactful AI features. By fostering strong partnerships and sharing technical knowledge, you’ll ensure solutions are practical, scalable, and aligned with business goals.
ESSENTIAL JOB FUNCTIONS:
Requirements & Feature Ownership
- Gather, refine, and prioritize technical and business requirements for platform features and agents.
- Translate business needs and organizational patterns into clear, actionable specifications for engineering teams.
- Make trade-off decisions regarding implementation (e.g. AI vs. non-AI) and maintain a prioritized feature backlog.
Platform Strategy & Roadmapping
- Use market headwind/tailwind to scope and envision AI platform features, expanding from workflows, scheduling, triggers, and integration points.
- Strategize and roadmap development of APIs, Model Context Protocol (MCP), and knowledge/data management systems.
- Ensure seamless integration with internal and external data sources and services.
Business Alignment & Pattern Recognition
- Analyze organizational processes and identify recurring patterns that can be addressed with AI functionality.
- Propose and design new features that directly address business needs and drive measurable impact.
- Collaborate with cross-functional teams to ensure solutions are practical, scalable, and compliant.
Test Strategy & Quality Assurance
- Define acceptance criteria and test strategies for platform features and agents.
- Ensure rigorous validation of AI functionality and alignment with business goals.
- Define KPIs and oversee test coverage, reliability, performance metrics, and evals.
Documentation & Knowledge Sharing
- Maintain clear, up-to-date documentation for requirements, test strategies, workflows, APIs, and agents.
- Share technical knowledge and best practices with engineering and business teams.
- We seek Rebels who are curious about AI and its power to transform how we operate and serve our members.
- Actively support the achievement of SCAN’s Vision and Goals.
- Other duties as assigned.
YOUR QUALIFICATIONS
- Bachelor's Degree or equivalent experience in Computer science, Engineering, or a related field.
- Demonstrates deep technical proficiency in AI platform architecture, agentic orchestration, workflow automation, and context engineering.
- Collaborates effectively with cross-functional teams—including engineering, product, business, and compliance—to deliver robust, scalable AI solutions.
- Communicates complex technical concepts clearly to both technical and non-technical stakeholders.
- Proactively identifies organizational patterns and translates them into actionable AI feature proposals.
- Exhibits strong stakeholder management and change leadership skills, driving alignment and adoption across the organization.
- Develops and executes comprehensive test strategies for complex AI systems, ensuring quality and reliability.
- Maintains up-to-date documentation and shares best practices to foster a culture of continuous learning and improvement.
- Demonstrates familiarity with vectors, embeddings, knowledge representation, and knowledge graph or graph RAG.
- Shows proficiency with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, AI Search Service, Snowflake, and Databricks.
PREFERRED CERTIFICATIONS OR LICENSES:
- SAFe Agile Certification or equivalent agile product ownership certification.
- Relevant certifications in Azure AI (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate) or other cloud AI platforms.
- Certifications in data engineering, machine learning, or AI solution architecture are a plus.
EXPERIENCE PREFERRED:
- Experience in AI platform architecture, agentic orchestration, workflow automation, or context engineering.
- Hands-on experience with Azure AI Studio, Azure ML, Cognitive Services, Azure OpenAI, API Management Gateway, MCP Gateway, and AI Search Service.
- Experience with Snowflake, Databricks, or similar data platforms.
- Background in healthcare (health plan/payer environment preferred), regulated industries, or enterprise-scale AI deployments.
- Proven ability to translate business needs into technical requirements and deliver outcomes through cross-functional teams.
- Strong stakeholder management, communication, and change leadership skills.
- Demonstrated ability to envision comprehensive test strategies for complex AI systems.
WHAT'S IN IT FOR YOU?
- Base Salary Range: $106,200 to $182,983 annually
- An annual employee bonus program
- Robust Wellness Program
- Generous paid-time-off (PTO)
- 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
- Excellent 401(k) Retirement Saving Plan with employer match
- Robust employee recognition program
- Tuition reimbursement
- An opportunity to become part of a team that makes a difference to our members and our community every day!
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Data Product Manager Job Roles in California
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Search Data Product Manager Jobs in CaliforniaData Product Manager Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data product managers in California?
Large technology companies are the most consistent sponsors for data product manager roles in California. Google, Meta, Apple, Salesforce, Adobe, Databricks, and Snowflake have all filed Labor Condition Applications for data product management positions in recent years. Enterprise software companies and growth-stage data infrastructure startups in the Bay Area also sponsor regularly, though smaller companies vary significantly in their willingness to take on sponsorship.
Which visa types are most common for data product manager roles in California?
The H-1B visa is the most common visa for data product managers in California, as the role typically requires a bachelor's degree or higher in a relevant field such as computer science, information systems, or engineering. Some candidates also enter on OPT or STEM OPT extensions before employer-sponsored H-1B petitions are filed. Candidates with significant product leadership experience may explore the O-1A, though it requires demonstrating extraordinary ability with substantial supporting documentation.
Which cities in California have the most data product manager sponsorship jobs?
The San Francisco Bay Area, including San Francisco, San Jose, Mountain View, and Menlo Park, accounts for the largest concentration of data product manager sponsorship jobs in California. Los Angeles has grown significantly, driven by media technology companies and enterprise software firms. San Diego has a smaller but active cluster, particularly among biotech and defense technology employers that maintain data product functions.
How to find data product manager visa sponsorship jobs in California?
Migrate Mate filters job listings specifically for roles where employers have a demonstrated history of visa sponsorship, making it more targeted than general job search methods for data product manager positions in California. You can filter by state and role to see current openings from Bay Area technology companies, Los Angeles-based media and enterprise firms, and other California employers actively hiring data product managers who need sponsorship support.
Are there any California-specific considerations for data product managers seeking visa sponsorship?
California's prevailing wage requirements under the H-1B program are among the highest in the country, reflecting the state's elevated cost of living and competitive technology labor market. Employers must certify that the offered position meets Department of Labor wage levels for the specific metropolitan area. University pipelines from UC Berkeley, Stanford, UCLA, and UC San Diego also feed a significant number of international graduates into data product management roles across the state.
What is the prevailing wage for sponsored data product manager jobs in California?
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.