Mid Level Data Product Owner Jobs
Mid level data product owner jobs go to professionals ready to own features or product initiatives end to end, mentor junior teammates, and drive prioritization decisions without close supervision. Roles are spread across on-site, hybrid, and remote settings in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, with employers like JPMorganChase, Amazon, and Fanduel hiring at this level now.
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INTRODUCTION
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
ABOUT THE JOB
The success of Bank of America and Global Payments Solutions (GPS) is dependent on continual enhancement and differentiation in the digital space. CashPro® is Bank of America’s flagship GPS platform for clients ranging from business banking to commercial and large corporates doing business globally.
This position is for a CashPro Data Product Manager, focused on empowering our product and sales teams with actionable insights to help them understand client behavior and measure success. We are looking for a motivated self-starter, passionate about the power of data to drive product development and business strategies. This individual must exhibit strong organizational skills, with an ability to manage multiple high priority tasks for the business with overlapping deadlines. They must also be skilled at reading and writing SQL queries to analyze data, and comfortable using tools including Splunk, Alteryx, and Tableau/BI tools. They should also be a clear and concise communicator, with an ability to message across multiple levels of the organization.
As CashPro Data Product Manager, responsibilities will include supporting data strategy and analytics for various purposes across the CashPro platform, including but not limited to: reporting on product adoption, client behavior, security, user access, and recurring measurement of key performance indicators. This product manager will:
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Partner with product, sales, operations, and other internal partners to complete ad-hoc data analysis projects, to inform understanding of client access, user behavior, and/or product adoption
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Identify opportunities for automation of data insights, and lead a cross-functional team of product, design, and technology partners to support the prioritization, development, and publishing of data insights for internal stakeholders
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Perform recurring key performance indicator reporting, including producing product adoption metrics for use in external publications and quarterly earnings reports
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Lead our data product strategy to enhance internal metrics infrastructure and visualization tools, enabling the delivery of more comprehensive, actionable analytics to internal and external stakeholders
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Work with Technology partners and vendors through the agile development methodology, required governance and compliance approvals, and early risk identification and mitigation of issues
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Support weekend release activity as associated with data product enhancements
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Serve as an innovation champion and thought leader, identifying new opportunities for enhancement as well as internal efficiencies and process improvements to help simplify and improve the client and internal employee experience.
BASIC QUALIFICATIONS
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3+ years data analytics or data product management experience
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Conveys out-of-the box ideas and solutions, embraces change with a future-forward mindset, and challenges the status quo
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Ability to work on cross-functional, global teams across multiple time zones and foster strong working relationships
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Synthesizes inputs from multiple stakeholders into cohesive communications
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Has high attention to detail, ability to effectively prioritize, and follow through with tasks and commitments
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Ability to perform data analysis and partner with product managers to define key metrics to measure success. Experience and success working with large, complex data sets, including using tools such as Microsoft Excel, SQL, Splunk, Alteryx and Tableau/BI dashboards
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A blend of both business and technical acumen
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Undergraduate degree required. Minimum: BS or BA degree
PREFERRED QUALIFICATIONS
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Knowledge of Treasury Management, payments, and digital channels solutions
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Knowledge of the Salesforce CRM platform
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Bank of America or similar financial institution experience
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Agile development methodology experience
SKILLS
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Oral Communications
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Prioritization
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Product Management
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Product Marketing and Branding
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User Experience Design
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Presentation Skills
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Process Effectiveness
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Product Design and Development
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Strategic Thinking
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Digital Marketing
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Market Analysis
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Problem Solving
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Project Management
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Written Communications
SHIFT
1st shift (United States of America)
HOURS PER WEEK
40
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Top Industries Hiring
- Technology & Software14
- Consulting & Professional Services5
- Banking & Financial Services4
- Investment & Asset Management3
- Retail2
Mid Level Data Product Owner Jobs: Frequently Asked Questions
How do I get a mid level data product owner job?
Position yourself around ownership, not just contribution. Highlight moments where you drove a data product from discovery through delivery, defined metrics that shaped decisions, or aligned engineering and business stakeholders independently. Applications stand out when they show you can prioritize a backlog without hand-holding, translate ambiguous business needs into clear requirements, and point to outcomes your work produced.
Which companies hire mid level data product owners?
Companies hiring mid level data product owners right now include JPMorganChase, Amazon, and Fanduel, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a wide range of organizations, from growth-stage technology companies scaling their data platforms to large enterprises modernizing analytics infrastructure and looking for experienced owners who can operate with real autonomy.
Are there remote mid level data product owner jobs?
Yes, and the share is substantial. About 38% of mid level data product owner openings are remote or hybrid as of November 2026, reflecting how much of this role depends on collaboration tools and documentation rather than physical presence. Many teams spread across multiple offices have made remote ownership the norm at this experience level.
How do I move up to a mid level data product owner role?
The move from early-career to mid level happens when you shift from executing defined tasks to owning outcomes. Build depth by leading a data product or feature area independently, even informally. Develop a point of view on prioritization, practice writing product requirements that engineers and analysts act on without clarification, and collect measurable results you can speak to. Consistent delivery across two or three full product cycles is what signals readiness.
Which industries hire the most mid level data product owners?
Mid Level data product owner roles concentrate in Technology & Software, Consulting & Professional Services, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in internal data platforms, customer analytics, and operational tooling, creating sustained demand for experienced owners who can bridge raw data capabilities and real business decisions at scale.