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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
- Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments
Required qualifications, capabilities, and skills
- 10+ years of leadership in building technology applications and architecture with an overall of around 20 years experience and 5+ years at Director level
- 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 with 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 plus 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, lake house architectures, and distributed computing frameworks
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams
- Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies
Skills Required
- 10+ years of leadership building technology applications and architecture
- Approximately 20 years of overall experience
- 5+ years at the Director level
- Strong understanding of global data governance regulations
- Strong program management and stakeholder management experience
- Experience building technical data platforms using AWS
- Enterprise-scale experience with Databricks and Snowflake cloud-native data platforms
- Experience managing data governance, security, and compliance across multi-cloud and hybrid environments
- Technical solutions, vendor product knowledge, vendor relationship management, and implementation experience
- Knowledge of records retention, legal holds, and defensible disposal across structured and unstructured data, backups, and snapshots
- Experience deploying and governing enterprise metadata, catalog, and lineage platforms
- Practical expertise with data contracts and schema governance
- Ability to evaluate data platform trade-offs involving performance, cost, scalability, and operational excellence
- Technical understanding of data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks
- Experience leading adoption of agentic AI-enabled engineering operating models
- Experience defining human-in-the-loop governance, quality gates, measurement frameworks, and secure AI input/output handling
- Deep understanding of responsible AI risk, controls, resiliency, and security expectations at scale
- Ability to advise senior leaders on safe AI adoption, portfolio governance, and reuse-first strategies
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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