Data Owner Lead

JPMorganChase; Plano (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

Chase seeks a Senior Data Governance professional to lead data quality, policy, and risk controls within the Consumer & Community Banking Data & Analytics team in Plano. You will partner with product, technology, and risk colleagues to ensure data integrity across data products and analytics platforms.

The role emphasizes strategic data stewardship, cloud data platforms, and ongoing governance improvements, with a focus on regulatory compliance and stakeholder communication.

Qualifications

• 6 years of industry experience in a data-related field; Bachelor's degree required.
• Experience managing delivery across multiple workstreams with varying timelines.
• Advanced SQL proficiency (complex joins, window functions, CTEs) for data exploration, profiling, reconciliation, and root‑cause analysis across large datasets.
• Hands-on data testing experience designing and executing validation frameworks with documented pass/fail criteria and evidence.
• 5 years of experience in data management or data governance, including hands-on work with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, and big data technologies like Hadoop or Spark.
• Experience developing roadmaps and cloud platform‑based solutions for data lake, data warehouse, and BI dashboards.
• Demonstrated examples of leading data publishing initiatives that improved business insights while maintaining data standards and controls
• Proven track record of applying data governance and compliance methods to reduce data risk and ensure proper data usage
• Exceptional ability to identify and reconcile stakeholder needs, drive innovative solutions, and communicate them clearly and confidently — both verbally and in writing — across cross‑functional teams.
• Experience applying agile practices and partnering with technology scrum teams to translate product requirements into technical sizing estimates and delivery plans.

Responsibilities

• Implement strategic plans to deliver data solutions and data products that support business operations and strategic objectives.
• Provide subject matter expertise with respect to the content and use of data in the product and associated business area.
• Identify the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata.
• Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects and document requirements for data accuracy, completeness, and timeliness.
• Partner with business & analytics stakeholders to define requirements for new data products and collaborate with data engineering teams to deploy production‑ready solutions and develop processes to identify and mitigate data risks.
• Manage the execution of tasks to comply with Firmwide policies, standards, and procedures related to data integrity and protection and coordinate with data delivery partners and data consumers.
• Track and manage workstreams and associated KPIs to ensure deliveries are successful.
• Manage direct or matrixed staff to execute specific data‑related tasks.
• Use SQL and data tooling to perform data testing and validation, investigating variances and documenting test results to ensure ongoing data accuracy and integrity.
• Support data analytics by governing data integration into analytics platforms, including designing fit‑for‑purpose curated datasets and feature‑ready data products.
• Communicate and resolve data issues, maintain data integrity; drive remediation and preventative controls to reduce recurrence.
• Leverage AI/ML and LLM tooling to automate governance and data management activities, including prompt creation and evaluation.

Skills

SQL Proficiency

Data governance

Data quality

Cross-functional collaboration

Agile practices

Problem solving

Stakeholder management

Cloud platforms

Education

Bachelor's degree in a data-related field

Master's degree preferred

Tools

SQL

Python

AWS/Azure/GCP

Spark/Hadoop

Job description

JOB DESCRIPTION

Job Responsibilities:

• Implement strategic plans to deliver data solutions and data products that support business operations and strategic objectives.
• Provide subject matter expertise with respect to the content and use of data in the product and associated business area.
• Identify the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control.
• Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects and document requirements for the accuracy, completeness, and timeliness of data within the product, and coordinate resources to deliver data quality requirements.
• Partner with business & analytics stakeholders to define requirements for new data products and collaborate with data engineering teams to deploy production‑ready solutions and develop processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality.
• Manage the execution of tasks to comply with Firmwide policies, standards, and procedures related to the integrity and protection of data in the product and develop strong relationships with product data delivery partners and data consumers, including leaders in the Business, Technology, Analytics, Operations, Risk and Control functions and manage the execution of a set of milestones and understand and mitigate risks, bottlenecks, and inefficiencies in the product development lifecycle with respect to data.
• Track and manage workstreams and associated KPIs to ensure deliveries are successful.
• Manage direct or matrixed staff to execute specific data‑related tasks.
• Use SQL and data tooling to perform data testing and validation (e.g., completeness, accuracy, timeliness, reconciliation, anomaly detection), investigating variances and documenting test results to ensure ongoing data accuracy and integrity across curated datasets and data products.
• Support data analytics by governing data integration into analytics platforms, including designing fit‑for‑purpose curated datasets and feature‑ready data products for advanced analytics/ML use cases.
• Communicate and resolve data issues, maintaining data integrity; Support data issue triage and root‑cause analysis with business and technology partners; drive remediation and preventative controls to reduce recurrence.
• Leverage AI/ML and LLM tooling to automate governance and data management activities (e.g., metadata drafting/classification, control evidence generation, quality rule suggestions, lineage/documentation assistance), including prompt creation and evaluation; contribute to agent‑based workflow designs where appropriate.

Required Qualifications, capabilities, and skills:

• 6 years of industry experience in a data-related field;Bachelor’s degree required
• Experience managing delivery across multiple workstreams with varying timelines.
• Advanced SQL proficiency (complex joins, window functions, CTEs) for data exploration, profiling, reconciliation, and root‑cause analysis across large datasets.
• Hands‑on data testing experience designing and executing validation frameworks with documented pass/fail criteria and evidence.
• 5 years of experience in data management or data governance, including hands‑on work with cloud platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, and big data technologies such as Hadoop or Spark.
• Experience developing roadmaps and cloud platform‑based solutions for data lake, data warehouse, and business intelligence dashboard environments.
• Demonstrated examples of leading data publishing initiatives that improved business insights while maintaining or strengthening data standards and controls
• Proven track record of applying data governance and compliance methods to reduce data risk and ensure appropriate data usage
• Exceptional ability to identify and reconcile stakeholder needs, drive innovative solutions, and communicate them clearly and confidently — both verbally and in writing — across cross‑functional teams.
• Experience applying agile practices and partnering directly with technology scrum teams to translate product requirements and user stories into technical sizing estimates and delivery plan.

Preferred Qualifications, capabilities, and skills:

• Master’s degree preferred.
• Knowledge of business intent and customer experience goals for consumer banking products, particularly in areas such as Debit Cards, ATM, Payments, Identity, Authentication, or Fraud Prevention.
• Experience building automated data quality checks within pipelines (pre/post-load validations, monitoring/alerting, exception workflows) to prevent regression and support auditability.
• Familiarity with identity and trust frameworks or technologies.
• Experience working within large‑scale financial services or highly regulated environments.
• Exposure to artificial intelligence and machine learning use cases in a data ownership or data governance capacity.
• Experience building and deploying data products is preferred.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

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.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most‑used digital solutions — all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.