Data Product Manager Jobs
Data Product Manager jobs are open across fintech, healthtech, enterprise software, and e-commerce, from associate to principal and director level, with specializations in data platform strategy, analytics product development, and AI/ML product ownership. Find a role that fits from the openings below and apply directly.
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INTRODUCTION
Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Senior Data Product Manager
What does Senior Data Product Manager at Fiserv do?
Fiserv is uniquely positioned at the center of global commerce and financial services, powering the movement of money and information across an unmatched network of financial institutions, merchants, and consumers. With billions of transactions processed annually and deep integration across payment rails, banking systems, and merchant ecosystems, Fiserv has built a proprietary data advantage that no competitor can replicate—enabling insights across the full lifecycle of every transaction.
Within Data Commerce Solutions, we are building a new class of data intelligence products—spanning issuing, banking and acquiring domains—that translate Fiserv’s scale and connectivity into tangible client outcomes.
We are seeking a Senior Data Product Manager within our Data Product portfolio—turning Fiserv’s unmatched data into scalable, privacy-safe, and commercially differentiated data products that deliver measurable value to clients.
What you will do:
-
Define Data Intelligence Signals & Product Requirements
Evaluate transactional datasets across Fiserv to identify high-value signals and insights. Translate data discovery and analysis into clearly defined product requirements, features, and scalable data assets within the Data Product portfolio. -
Own Transactional Domain Understanding
Develop deep expertise in assigned transaction domains, including customer behaviors, spend patterns, and the underlying product and platform capabilities that influence those behaviors. Use these insights to inform product strategy and differentiation. -
Drive Product Roadmap & Cross-Functional Execution
Partner with engineering, data science, analytics, sales, operations, and leadership teams to define, prioritize, and execute against a clear product roadmap aligned to customer needs and business outcomes. -
Deliver with Excellence Through Agile Execution
Review development progress, sprint outcomes, and product performance to ensure timely delivery, high quality, and continuous improvement. Proactively identify risks and resolve issues to keep initiatives on track. -
Embed Data Governance & Compliance by Design
Ensure all data products adhere to regulatory, contractual, and privacy requirements, with a strong focus on data usage rights, governance frameworks, and responsible data practices. -
Support Commercialization & Go-to-Market Success
Act as a subject matter expert on Data Products in client engagements and sales cycles. Partner with Marketing and Sales to shape positioning, messaging, and go-to-market strategies that drive adoption and revenue growth.
What you will need to have:
- Bachelors degree or relevant work experience.
- 6+ years of experience in product management working with data products, data analytics or related fields.
- Prior relevant experience within issuing, banking and acquiring domains.
- Experience managing products through key stages of ideation, development, commercialization, and implementation.
- Customer-centric mindset with experience translating that into the product development process.
- Strong understanding of agile practices and product delivery.
What would be great to have:
- High proficiency in data analysis and the ability to use data to influence product roadmap decisions.
- Pragmatic Marketing certified.
Salary Range
$120,000.00 - $198,000.00
These pay ranges apply to employees in New Jersey and New York. Pay ranges for employees in other states may differ.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
For incentive eligible associates, the successful candidate is eligible for an annual incentive opportunity which may be delivered as a mix of cash bonus and equity awards in the Company’s sole discretion.
Thank you for considering employment with Fiserv. Please:
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
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Find Data Product Manager JobsData Product Manager Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Amazon112

- Apple72

- CVS Health59

- Google53

- Ryder System38

Top Industries Hiring
- Technology & Software553
- Consulting & Professional Services109
- Banking & Financial Services96
- Electronics & Hardware90
- Healthcare & Medical Services81
What Employers Look For
The qualifications that appear most often in data product manager jobs.
- 3 to 7 years of product management experience with a focus on data or analytics products
- Proficiency in SQL and familiarity with at least one cloud data warehouse such as Snowflake or BigQuery
- Experience translating business requirements into data models, schemas, or pipeline specifications
- Demonstrated ability to define and track success metrics for data products or self-serve analytics tools
- Bachelor's degree in a quantitative, technical, or business field, or equivalent practical experience
- Familiarity with data governance, privacy frameworks, or compliance requirements in a product context
Tips for Your Data Product Manager Job Search
Reframe your resume around data products
Generic product management bullets won't land here. Show data pipeline decisions you influenced, metrics frameworks you defined, or self-serve analytics products you shipped. Hiring managers for these roles scan for evidence you think in datasets, not just features.
Apply early to roles that fit
Migrate Mate lists data product manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your data stack
Filter openings by the tools you know best, whether that's dbt, Snowflake, Looker, or Databricks. Roles that list your exact stack expect fluency, not a learning curve, so matching on tooling dramatically improves your interview-to-offer rate.
Build a portfolio of data product decisions
Prepare two or three written case studies showing how you scoped a data product, resolved a schema or governance conflict, and measured adoption. Bring these to first-round interviews instead of waiting for a take-home assignment.
Prepare for the data literacy interview layer
Most panels include a technical screen where you'll be asked to walk through a data model, interpret a dashboard, or explain a metric inconsistency. Practice narrating your reasoning aloud, not just arriving at the right answer, because interviewers assess how you think.
Negotiate scope, not just compensation
Once you have an offer, ask whether the role owns the full data product roadmap or feeds a centralized analytics team. Scope determines your career trajectory far more than title does, and clarifying it now prevents a mismatch six months in.
Data Product Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data product managers?
The companies hiring the most data product managers right now include Amazon, Apple, and CVS Health, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of June 2026. Demand is concentrated in companies running large-scale data platforms, including fintech, healthcare technology, and cloud infrastructure businesses.
How many data product manager jobs are remote?
About 33% of data product manager openings are fully remote or hybrid as of June 2026, making it one of the more location-flexible roles in product management. Positions focused on internal data platform and analytics tooling tend to be the most remote-friendly, while roles tied to real-time or embedded data products often require closer on-site collaboration with engineering teams.
How do you become a data product manager?
Start in an adjacent role such as data analyst, business intelligence developer, or associate product manager, then actively take on work that crosses the boundary into product decisions, such as defining data models or setting adoption metrics. Build fluency in SQL and at least one cloud data warehouse. Document the data products you have influenced in a portfolio before applying, and target companies whose data maturity matches where you want to grow.
Can you get a data product manager job with little experience?
Yes, but you need to compensate for limited tenure with demonstrated data fluency and product thinking. Candidates who break in typically have a background in data analysis or engineering and can show a side project, internal tool, or open-source contribution that involved product decisions, not just queries. Applying to associate or junior data product manager titles, which exist at larger tech and fintech companies, is the most direct path in.
What does the data product manager interview process look like?
Most hiring processes run three to four rounds. A recruiter screen is followed by a hiring manager conversation focused on your experience with data products and stakeholder management. A technical panel then tests your ability to read a data model, interpret metrics, or scope a data product from a business requirement. Final rounds typically include a case study presentation or a cross-functional interview with data engineering, analytics, or a business stakeholder.
Where can I find and apply to data product manager jobs?
You can find and apply to data product manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 1,625+ Data Product Manager Jobs
Jump back to the full list of openings and apply to any data product manager role that fits.
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