Data Product Manager Jobs for OPT Students
Data Product Manager jobs on OPT require employers who can sponsor H-1B, as most roles fall under specialty occupation. Your F-1 OPT gives you up to 12 months of work authorization, with a 24-month STEM extension available if your undergraduate or graduate degree is in a qualifying STEM field.
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Get Access To All JobsLOCATION: Chicago, IL
Requisition ID: 2026-120286
Category: Project Management, Product Management
Position type: Regular
Pay range: USD $130,000.00 - $135,000.00 / Year
Application deadline: 2026-03-31
INTRODUCTION
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Schwab Technology Services enables the future of how clients manage their money by delivering innovative, reliable technology products that support our mission to democratize access to investing and financial planning.
ROLE AND RESPONSIBILITIES
As a Data Product Manager, you’ll sit at the intersection of business strategy, data platforms, and analytics—owning high-impact data products from concept through adoption and value realization. This is a hands-on, individual contributor role ideal for a product leader who thrives in ambiguity, balances strategy with execution, and is passionate about turning data into measurable business outcomes.
As a Data Product Manager, you are accountable for the end-to-end lifecycle of data products, from opportunity discovery through sustained adoption and value realization. Your responsibilities include:
- Owning the data product strategy and roadmap for one or more data products, grounded in clear business outcomes, value hypotheses, and success metrics (e.g., adoption, data quality, time-to-insight, and business impact).
- Translating business needs into well-defined data products, including defining product vision, target users, use cases, data domains, and required capabilities in partnership with business, analytics, and engineering teams.
- Leading product discovery and prioritization by facilitating structured working sessions to identify high-value use cases, assess feasibility, and sequence delivery based on impact, dependencies, and organizational readiness.
- Acting as the primary Product Manager for data initiatives, developing epics and user stories, defining acceptance criteria, and ensuring alignment between business intent and technical implementation.
- Partnering closely with data engineering, platform, and architecture teams to ensure data products are scalable, reusable, well-governed, and aligned with data standards and platform strategy.
- Driving execution and delivery discipline by maintaining roadmaps, backlogs, and dependencies in JIRA and Confluence, while actively managing risks, tradeoffs, and stakeholder expectations.
- Championing adoption and value realization by working with business partners to enable onboarding, track usage and outcomes, and continuously iterate on products based on feedback and performance insights.
- Serving as a subject matter expert for assigned data platforms or domains, helping business teams understand how to leverage data products to advance analytical and operational needs.
BASIC QUALIFICATIONS
To ensure we deliver on our commitment to challenging the status quo, this role has specific qualifications that successful candidates must have.
- Ability to describe one or more data products you owned, including the problem statement and approach followed to deliver the data products.
- 3+ years of professional experience, including 3+ years of project or product management experience.
- Bachelor’s degree.
- Experience performing data discovery and writing basic SQL for data validation and understanding.
- Demonstrated ability to gather, refine, and prioritize business requirements.
- Experience writing user stories and defining acceptance criteria in partnership with business and technology teams.
- Demonstrated collaborative leadership style with the ability to lead and influence diverse, cross-functional teams.
- Experience defining and tracking product KPIs (e.g., usage and adoption) and communicating product value and outcomes.
- Strong communication skills with a high level of comfort leading meetings.
- Ability to navigate ambiguity in a fast-paced environment while introducing structure and problem-solving frameworks.
- Excellent collaboration skills and comfort working in a matrixed organizational environment.
- Active listening skills with the ability to synthesize complex details and dive deep to solve problems.
- Self-starter mindset with willingness to learn quickly, make decisions, and pivot toward better solutions when needed.
- Flexibility and comfort with change in a transforming organization.
PREFERRED QUALIFICATIONS
- Advanced degree in engineering, information systems, or business administration.
- Experience with modern data platforms (e.g., Google BigQuery).
- Experience defining or implementing data management practices such as metadata, data quality, or data lineage.
- Experience building go-to-market or adoption approaches for data products, including user onboarding and awareness.
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
WHAT’S IN IT FOR YOU
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment
LOCATION: Chicago, IL
Requisition ID: 2026-120286
Category: Project Management, Product Management
Position type: Regular
Pay range: USD $130,000.00 - $135,000.00 / Year
Application deadline: 2026-03-31
INTRODUCTION
At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.
We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).
Schwab Technology Services enables the future of how clients manage their money by delivering innovative, reliable technology products that support our mission to democratize access to investing and financial planning.
ROLE AND RESPONSIBILITIES
As a Data Product Manager, you’ll sit at the intersection of business strategy, data platforms, and analytics—owning high-impact data products from concept through adoption and value realization. This is a hands-on, individual contributor role ideal for a product leader who thrives in ambiguity, balances strategy with execution, and is passionate about turning data into measurable business outcomes.
As a Data Product Manager, you are accountable for the end-to-end lifecycle of data products, from opportunity discovery through sustained adoption and value realization. Your responsibilities include:
- Owning the data product strategy and roadmap for one or more data products, grounded in clear business outcomes, value hypotheses, and success metrics (e.g., adoption, data quality, time-to-insight, and business impact).
- Translating business needs into well-defined data products, including defining product vision, target users, use cases, data domains, and required capabilities in partnership with business, analytics, and engineering teams.
- Leading product discovery and prioritization by facilitating structured working sessions to identify high-value use cases, assess feasibility, and sequence delivery based on impact, dependencies, and organizational readiness.
- Acting as the primary Product Manager for data initiatives, developing epics and user stories, defining acceptance criteria, and ensuring alignment between business intent and technical implementation.
- Partnering closely with data engineering, platform, and architecture teams to ensure data products are scalable, reusable, well-governed, and aligned with data standards and platform strategy.
- Driving execution and delivery discipline by maintaining roadmaps, backlogs, and dependencies in JIRA and Confluence, while actively managing risks, tradeoffs, and stakeholder expectations.
- Championing adoption and value realization by working with business partners to enable onboarding, track usage and outcomes, and continuously iterate on products based on feedback and performance insights.
- Serving as a subject matter expert for assigned data platforms or domains, helping business teams understand how to leverage data products to advance analytical and operational needs.
BASIC QUALIFICATIONS
To ensure we deliver on our commitment to challenging the status quo, this role has specific qualifications that successful candidates must have.
- Ability to describe one or more data products you owned, including the problem statement and approach followed to deliver the data products.
- 3+ years of professional experience, including 3+ years of project or product management experience.
- Bachelor’s degree.
- Experience performing data discovery and writing basic SQL for data validation and understanding.
- Demonstrated ability to gather, refine, and prioritize business requirements.
- Experience writing user stories and defining acceptance criteria in partnership with business and technology teams.
- Demonstrated collaborative leadership style with the ability to lead and influence diverse, cross-functional teams.
- Experience defining and tracking product KPIs (e.g., usage and adoption) and communicating product value and outcomes.
- Strong communication skills with a high level of comfort leading meetings.
- Ability to navigate ambiguity in a fast-paced environment while introducing structure and problem-solving frameworks.
- Excellent collaboration skills and comfort working in a matrixed organizational environment.
- Active listening skills with the ability to synthesize complex details and dive deep to solve problems.
- Self-starter mindset with willingness to learn quickly, make decisions, and pivot toward better solutions when needed.
- Flexibility and comfort with change in a transforming organization.
PREFERRED QUALIFICATIONS
- Advanced degree in engineering, information systems, or business administration.
- Experience with modern data platforms (e.g., Google BigQuery).
- Experience defining or implementing data management practices such as metadata, data quality, or data lineage.
- Experience building go-to-market or adoption approaches for data products, including user onboarding and awareness.
In addition to the salary range, this role is also eligible for bonus or incentive opportunities.
WHAT’S IN IT FOR YOU
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment
How to Get Visa Sponsorship as a Data Product Manager
Confirm your degree qualifies for the STEM OPT extension
Data Product Manager roles often qualify for the 24-month STEM extension if your degree is in computer science, information systems, or a related field. Verify your CIP code with your DSO before accepting an offer.
Lead with your data and product credentials, not your visa status
Frame your application around SQL proficiency, product analytics experience, and cross-functional delivery. Employers evaluate sponsorship costs against value, so demonstrating strong technical product skills justifies the investment upfront.
Ask about H-1B sponsorship before the final round
Raise sponsorship directly after receiving a positive hiring signal, not at the offer stage. This saves time for both sides and avoids accepting roles where sponsorship was never a realistic option for your position.
Highlight hybrid skills that reduce employer risk
Data Product Managers who combine technical fluency with stakeholder management are harder to replace. Demonstrating both reduces the perceived hiring risk for employers weighing the time and cost of sponsoring a visa petition.
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Get Access To All JobsFrequently Asked Questions
Can I work as a Data Product Manager on F-1 OPT?
Yes. Data Product Manager roles typically qualify as specialty occupations requiring at least a bachelor's degree in a related field, which aligns with F-1 OPT eligibility requirements. Your employment must be directly related to your degree field. If your degree is in computer science, information systems, or a similar STEM discipline, you may also qualify for the 24-month STEM OPT extension.
Does a Data Product Manager role qualify for the STEM OPT extension?
It depends on your degree, not the job title. If your bachelor's or master's degree is classified under a qualifying STEM CIP code, such as computer science, data science, or management information systems, and your Data Product Manager role relates to that field, you can apply for the 24-month extension. Confirm your CIP code with your Designated School Official before accepting an offer.
How do I find Data Product Manager jobs that sponsor OPT and H-1B?
Migrate Mate is built specifically for F-1 OPT students and filters job listings by sponsorship history and visa compatibility, so you can browse Data Product Manager roles at employers who have a track record of sponsoring international candidates. Searching general job boards makes it difficult to identify sponsorship-ready employers, which wastes time during a period when your OPT clock is running.
What happens if my OPT expires before my H-1B is approved?
If your employer files an H-1B petition by the April deadline and you are still on valid OPT at the time of filing, you are eligible for cap-gap protection. This automatically extends your OPT work authorization through September 30 of that year, or until your H-1B start date, whichever comes first. Your employer's immigration counsel should file before your OPT end date to ensure continuity.
Do I need to disclose my OPT status when applying for Data Product Manager roles?
You are not legally required to disclose visa status during the application process, but most employers ask directly on application forms whether you require sponsorship. Answering honestly saves time and ensures you are only moving through interviews at companies prepared to support your work authorization. Attempting to conceal the need for sponsorship rarely succeeds and creates risk at the offer stage.
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