Join the Chief Data & Analytics Office at JPMorganChase and help accelerate our data and analytics journey. You will lead complex, multi-functional technology projects that impact clients, employees, and stakeholders firmwide. Bring your technical fluency and analytical reasoning to drive innovative solutions, manage resources, and foster productive relationships. This is your opportunity to shape the future of our technology landscape and contribute to the development of new policies and processes.
Job Summary
As a Senior Director of Software Engineering - Data Privacy Engineering Lead in the Chief Data & Analytics Office, you will manage the Data Privacy & Governance roadmap, ensuring alignment with global privacy priorities and business objectives. You will lead privacy-centric initiatives, oversee engineering projects, and drive technical direction for privacy impact assessments and technology integrations. Your role will focus on privacy risk identification, regulatory compliance, and executive-level reporting, partnering with product teams to deliver business outcomes.
Job Responsibilities
Manage the Data Privacy & Governance roadmap, aligning with global privacy strategic priorities and business objectives.
Lead firmwide privacy initiatives, including consent management, data retention, and cross-border data transfer governance.
Drive technical direction for Privacy Impact Assessment, overseeing new data privacy technology initiatives and third-party integrations.
Structure roadmap delivery and operating model across the organization.
Oversee engineering projects, risks, issues, and dependencies, focusing on privacy risk identification, remediation tracking, and regulatory compliance milestones.
Develop and maintain privacy metrics, KPIs, and dashboards for executive visibility into privacy posture and compliance status.
Prepare and deliver comprehensive reports and presentations to C-Level Executives, communicating program status, risks, and achievements.
Partner with product teams to drive business outcomes and ensure technical programs align with strategic goals.
Required Qualifications, Capabilities, and Skills
Experience leading Data Governance and Data Privacy organizations.
Strong understanding of global data privacy regulations to inform technical architecture and engineering requirements.
Ability to manage multiple portfolios and competing priorities.
Proficiency in technical solutions, vendor product knowledge, and managing vendor relations.
Knowledge of records retention, legal holds, and defensible disposal across structured and unstructured data.
Proven track record deploying and governing enterprise metadata, catalog, and lineage platforms.
Practical expertise with data contracts and schema governance.
Ability to evaluate and drive technical decisions regarding data platform trade-offs, including performance, cost, scalability, and operational excellence.
Technical understanding of modern data platform architectures, including data lakes, data warehouses, lakehouse architectures, and distributed computing frameworks.
Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake.
Strong knowledge of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns.
Preferred Qualifications, Capabilities, and Skills
Experience navigating complex data governance, security, and compliance requirements across multi-cloud and hybrid data environments.
Ability to deliver executive-level reports and presentations.
Familiarity with privacy metrics, KPIs, and dashboard development.
Experience structuring operating models for privacy and governance delivery.
Demonstrated success in driving business outcomes through technical programs.
Expertise in architecting end-to-end data solutions in enterprise environments.
Strong adaptability and analytical reasoning skills.
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