Data Product Lead & Governance

JPMorgan Chase & Co.; Plano (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a senior data governance professional in Plano, TX to lead data strategy, quality, and compliance across product domains. You will partner with analytics and business stakeholders to design data solutions, define data requirements, and ensure data integrity in analytics platforms.

Strong SQL, cloud experience, and governance background are essential. The role emphasizes cross-functional collaboration, regulatory awareness, and driving data-driven decision making

Qualifications

• 6+ years in a data-related field.
• Experience managing delivery across multiple workstreams.
• Advanced SQL proficiency (complex joins, window functions, CTEs).
• Hands-on data testing and validation framework design.
• 5+ years in data management or governance with cloud platforms and big data tech.

Responsibilities

• Implement data solutions and data products supporting business ops and strategy.
• Provide subject matter expertise on data content and usage.
• Identify critical data scope and document with metadata for understanding and control.
• Coordinate data quality requirements and alignment with analytics platforms.

Skills

Data governance

SQL proficiency

Data testing

Roadmap development

Stakeholder management

Agile practices

Communication (verbal/written)

Data quality management

Education

Bachelor’s degree

Master’s degree

Tools

Cloud platforms (AWS/GCP/Azure)

Big data technologies (Hadoop/Spark)

Job description

JPMorgan Chase & Co. is seeking a senior data governance professional in Plano, TX to lead data strategy, quality, and compliance across product domains. You will partner with analytics and business stakeholders to design data solutions, define data requirements, and ensure data integrity in analytics platforms.

Strong SQL, cloud experience, and governance background are essential. The role emphasizes cross-functional collaboration, regulatory awareness, and driving data-driven decision making