Product Associate, Global Private Banking Chief Data Office; CDO

Join our collaborative environment, where you'll contribute to strategy, make an impact on product success, and grow your skills by participating in product planning and defining user workflows alongside experienced product managers.

• Supports the development of our product strategy and roadmap
• Collects and analyzes metrics on product performance to inform decision-making
• Contributes to solution discovery through collaboration with cross‑functional teams to identify potential solutions that address user needs and align with business goals
• Participates in product planning sessions, contributes ideas and insights, and assists in the execution of product initiatives, ensuring timely and successful product launches
• Collaborates with product managers, stakeholders, and cross‑functional teams to define user workflows, requirements, epics, and user stories, ensuring alignment to customer value.
• Partners on product discovery and user research, including journey mapping and market analysis, to identify new opportunities and inform the product roadmap.
• Analyzes, tracks, and reports on product and operational metrics (e.g., time, cost, quality, performance trends) to support continuous improvement.
• Supports Data Quality operations, including executing and monitoring TDQ/BDQ checks, analyzing results, and driving issue detection, root cause analysis, and remediation.
• Maintains data quality governance artifacts, including centralized rule registries, traceability, audit evidence, and recertification support.
• Builds and maintains reporting, dashboards, and scorecards to track quality trends, coverage, SLAs, and overall data health.
• Drives enablement, adoption, and transparency by collaborating across business and technology teams, providing guidance, and surfacing data quality insights to stakeholders.

• 2+ years of experience or equivalent expertise in product management, project management, or a relevant domain area.
• Developing knowledge level of the product development life cycle.
• Exposure to product life cycle activities including discovery and requirements definition.
• Emerging knowledge of data analytics and data literacy.
• Experience in data management, analytics, or related roles (internships and academic projects count).
• Familiarity with data quality concepts, data profiling, and data governance.
• Demonstrated experience with SQL and Python, along with proficiency in other data analysis tools.
• Strong analytical, problem‑solving, and communication skills.
• Ability to work collaboratively in a fast‑paced, matrixed environment.
• Interest in financial services, asset management, or wealth management.

• Demonstrates a strong interest in leveraging emerging technologies, such as AI, large language models (LLMs), and intelligent agents, to enhance efficiency and effectiveness across day‑to‑day job responsibilities.
• Experience with data quality tools and reporting platforms.
• Understanding of metadata, data contracts, and centralized rule registries.

We offer a competitive total rewards package including base salary, commission‑based pay and/or discretionary incentive compensation, and a range of benefits and programs to meet employee needs, such as comprehensive health care coverage, retirement savings plans, backup childcare, tuition reimbursement, mental health support, and financial coaching.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. 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.