As a CRM Data Product Manager, you will take a hands-on, product-oriented approach to translating CIB Sales domain needs into governed, reliable data products with clear data contracts, SLAs, and measurable outcomes. You will partner with business, technology, data platform, analytics, and controls partners to deliver actionable insights and reusable data assets—including curated datasets, metrics layers, dashboards, marts, APIs, notebooks, and ML-ready data—that enable advanced analytics and AI/ML use cases.
The CRM Data Product team drives strategic data initiatives and tooling, data governance, reporting, and advanced performance analysis across Global Banking and Payments. This is a high-visibility role with direct engagement with senior stakeholders, focused on improving efficiency, performance, and business outcomes.
In this role, you will support the end-to-end lifecycle of data products by defining requirements, improving data quality and usability, and ensuring products are reliable, discoverable, and valuable for end users.
Job responsibilities
- Gather and document business needs, user stories, and acceptance criteria for data products
- Translate business questions into clear data requirements (definitions, grain, scope, SLAs)
- Maintain and groom the product backlog; help prioritize work with the Product Manager/Lead
- Coordinate sprint activities, assist with release planning, and track delivery milestones
- Help define and monitor data quality rules (completeness, accuracy, timeliness, consistency)
- Support issue triage and root-cause coordination for data incidents and defects
- Contribute to data product documentation (business definitions, data dictionary, lineage notes)
- Partner with engineers, analysts, and governance to align on definitions and controls
- Communicate status, risks, and dependencies to stakeholders
- Deliver data products and insights through consumption channels (APIs/data services, SQL endpoints, dashboards, notebooks); design domain semantic layers for common Sales & Marketing analytics.
- Apply governance and controls: stewardship, cataloging, lineage, entitlements; protect sensitive data with masking/tokenization/entitlements and regulatory compliance.
Engage stakeholders to prioritize use cases and communicate outcomes; partner with architecture/platform teams to leverage strategic capabilities.
Required qualifications, capabilities, and skills
- Bachelor’s in computer science, Data Science, Engineering, Finance; advanced degree a plus.
- 5+ years in data engineering and/or data product development in financial services with production delivery.
- Proficiency: Product Thinking; Experience with Databricks/Snowflake; Data Products Buildout
- Strong grasp of data governance, quality, compliance; experience enabling AI/ML workloads.
- Familiarity with sales domains (deal lifecycle, client coverage, pipeline/execution, fee/revenue analytics).
- Excellent communication; outcome-focused and hands-on.
Preferred qualifications, capabilities, and skills
- Demonstrated prior experience working in a highly matrixed, complex organization
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, or Finance
- 5+ years in data engineering and/or data product development in financial services with production delivery
- Experience with Databricks and Snowflake
- Product thinking and product backlog management experience
- Strong grasp of data governance, data quality, and compliance
- Experience enabling AI/ML workloads and delivering ML-ready data
- Familiarity with sales domain concepts (deal lifecycle, pipeline, revenue analytics)
- Excellent communication and stakeholder engagement skills; outcome-focused and hands-on
- Prior experience working in a highly matrixed, complex organization
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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