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Chief Data Office - Data Quality - Associate
About the role
Chief Data Office – Data Quality Associate at JPMorgan Chase Bank focuses on elevating data integrity across the Corporate & Investment Bank. The role drives data governance, lineage, and metadata initiatives, ensuring that information is fit‑for‑purpose and supports strategic decision‑making. Responsibilities include advising on high‑impact data issues, implementing DQ practices, and collaborating with cross‑functional stakeholders to root‑cause problems and deliver actionable insights. The associate leverages industry‑leading tools such as Collibra, Informatica, Alteryx, Tableau, and SQL to profile data, establish quality rules, and visualize findings. With a strong foundation in data analytics, project management, and business analysis, the candidate will champion data quality across multiple lines of business, fostering partnerships and accelerating issue resolution. This position offers a unique opportunity to shape data strategy within a global financial institution and contribute to one of the bank’s most significant change programs.
What you’ll do
- Master data governance, quality, lineage, and metadata concepts.
- Advise on high‑profile data issues via project management and analysis.
- Implement and support DQ practices across the Corporate & Investment Bank.
- Use lineage docs to trace data flows and identify issues.
- Build partnerships with CIB sub‑LOBs and corporate functions.
- Drive root‑cause analysis and resolution with governance and mapping.
- Query data marts/stores for insights and root‑cause identification.
- Collaborate with tech teams to agree on technical DQ resolutions.
- Document end‑to‑end data journey from creation to consumption.
- Set up profiling and DQ rules using Collibra, Informatica, and emerging tools.
What you’ll bring
- 7+ years in Financial Services with data analytics, project management, or business analysis.
- Proven experience in data quality, lineage, and metadata management.
- Strong analytical, problem‑solving, and lateral thinking skills.
- Proficient in Excel data manipulation (pivots, formulas, charts).
- Excellent oral, written, and influencing communication abilities.
- Self‑starter with time‑management, multitasking, and pressure‑resilience.
Nice to have
- Experience in CIB and CDO/Data Quality organization.
- Experience querying database/data stores for analysis.
- Experience producing PowerPoint presentations for senior audiences.
- Exposure to Alteryx, Tableau, SQL, Informatica, Collibra tools.