Data Product Owner-Senior Associate

JPMorganChase is looking for a Data Product Owner-Senior Associate to support product data work end-to-end for US Wealth Management Data & Analytics. Reporting under a VP Data Owner, this role helps define and document critical product data, strengthen governance and quality monitoring, and contribute to publishing and lifecycle improvements across the data agenda.

Within Consumer & Community Banking, the CCB Data & Analytics team leverages data responsibly to create business advantage while protecting customers. You will collaborate closely with Technology and delivery teams, helping ensure data products are discoverable, well-governed, and dependable from ingestion through consumption.

What you’ll do

• Support the product’s data agenda across creation, ingestion, publishing, and consumption
• Help establish data quality requirements and monitoring for accuracy, completeness, timeliness, and lineage
• Assist with delivery of data pipelines and products by tracking dependencies, coordinating handoffs, and reinforcing Agile execution across workstreams
• Document business definitions, metadata, and classifications so critical data is consistently understood and discoverable
• Maintain data governance artifacts such as inventories, controls evidence, and procedures to support compliance and audit readiness
• Perform data profiling and validation to identify anomalies, gaps, and trends that impact downstream use
• Partner with technology and data delivery teams on root cause analysis and remediation execution
• Communicate updates, risks, and decisions through structured documentation and stakeholder routines
• Contribute to continuous improvement by identifying process bottlenecks and proposing pragmatic fixes

Qualifications

• Bachelor’s degree in a STEM field and 3+ years of experience in data delivery, analytics enablement, data governance, or a related role
• Ability to use SQL to analyze data, validate quality, and support investigations across relational or big data platforms
• Proven ability to execute reliably in a fast-paced, stakeholder-rich environment with clear follow-through
• Effective communication with both technical and non-technical partners through written updates and presentations
• Analytical problem-solving skills, including breaking down ambiguous issues into actionable steps and measurable outputs
• Strong organization, attention to detail, and time management for multiple concurrent priorities
• Ability to learn quickly and apply feedback to improve deliverables and operating routines

Tools and technologies

• SQL
• Python
• ETL
• CRM
• Salesforce

Benefits

• Competitive total rewards package, including base salary determined based on role, experience, skill set, and location (USD 92,150 to 140,000 per year)
• In eligible roles, commission-based pay and/or discretionary incentive compensation, paid as cash and/or forfeitable equity
• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Location and work style

• Columbus, OH (onsite)

Preferred qualifications and capabilities

• Experience in financial services, wealth management, or client/advisor data domains
• Experience using data catalogs, lineage tools, and data quality monitoring solutions
• Experience working with Agile teams and participating in ceremonies such as planning, standups, and retrospectives
• Exposure to CRM and sales platforms (for example, Salesforce) and related data flows
• Experience with Python or ETL tooling for profiling, wrangling, and repeatable data quality checks
• Understanding of data governance, data ethics, and responsible data use in regulated environments
• Growth mindset and continuous learning of modern data patterns and tooling

About the team

• CCB serves Chase customers through personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing
• The CCB Data & Analytics team builds competitive advantages for the businesses and value and protection for customers
• The team includes data governance and strategy, reporting, data science, and machine learning
• Strong partnership with Technology to deliver cutting-edge data and analytics infrastructure
• Uses insights to support customer and business outcomes