Job Description

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.

As a Data Governance Engineering Lead at JPMorgan Chase in the Chief Data Analytics Office, you will lead complex, multi-functional technology projects and programs that will impact experiences for multiple groups across the firm, including clients, employees, and stakeholders. With your advanced analytical reasoning and adaptability skills will enable you to break down business, technical, and operational objectives into manageable tasks, while navigating through ambiguity and driving change. With demonstrated technical fluency, you will effectively manage resources, budgets, and cross-functional teams to deliver innovative solutions that align with the firm's strategic goals. Your exceptional communication and influencing abilities will foster productive relationships with stakeholders, ensuring alignment and effective risk management. In this pivotal role, you will contribute to the development of new policies and processes, shaping the future of our technology landscape.

Job responsibilities

• Manage the Data Governance roadmap across the organization, ensuring alignment with evolving global privacy strategic priorities, and lines of business.
• Lead key Firmwide privacy-centric initiatives such as consent management, data retention, cross-border data transfer governance
• Responsible for the structure of roadmap delivery and operating model across the organization
• Oversee engineering projects, risks, issues, and dependencies across the Data Governance book of work,
• Develop and maintain data governance metrics, KPIs, and dashboards to provide executive-level visibility into the firm's privacy posture, incident trends, and regulatory compliance status
• Prepare and deliver comprehensive reports and presentations to C-Level Executives, including the Operating Committee, to communicate program status, risks, and achievements
• Partner with the product organization to drive business outcomes, ensuring that technical programs are aligned with strategic business goals

Required qualifications, capabilities, and skills

• 10+ years of experience in building and leading technology applications and architecture
• Strong understanding of global data governance regulations to drive technical architecture decisions and engineering requirements
• Strong experience in program management, stakeholder management and building technical data platforms using AWS
• Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake
• Experience navigating complex data governance, security, and compliance requirements across multi-cloud and hybrid data environments at enterprise scale
• Demonstrated proficiency in technical solutions, vendor product knowledge, managing vendor relations, and implementing solutions
• Knowledge of records retention, legal holds, and defensible disposal across structured and unstructured data, including backups and snapshots
• Proven track record deploying and governing enterprise metadata, catalog, and lineage platforms
• Practical expertise with data contracts and schema governance
• Demonstrated ability to evaluate and drive technical decisions regarding data platform trade-offs including performance optimization, cost management, scalability, and operational excellence

• Technical understanding of modern data platform architectures including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks