Senior Director of Software Engineering - Privacy Engineering Lead

Testing Site - JPMC

Greater London

On-site

GBP 180,000 - 260,000

Full time

14 days+

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Job summary

JPMorganChase seeks a Senior Director of Software Engineering - Data Privacy Engineering Lead to manage the Data Privacy & Governance roadmap and drive privacy-centric initiatives across the enterprise. You will lead multi-functional projects, oversee regulatory compliance, and report to senior executives on privacy posture and program status.

You will partner with product teams to ensure technical programs meet strategic goals, leveraging experience with modern data platforms and cloud services

Qualifications

  • Experience leading Data Governance and Data Privacy organizations.
  • Strong understanding of global data privacy regulations to inform architecture.
  • Ability to manage multiple portfolios and competing priorities.
  • Proficiency in technical solutions, vendor product knowledge, and vendor relations.
  • Knowledge of records retention, legal holds, and defensible disposal.
  • Governing enterprise metadata, catalog, and lineage platforms.
  • Expertise with data contracts and schema governance.
  • Ability to evaluate data platform trade-offs for performance, cost, and scalability.

Responsibilities

  • Manage the Data Privacy & Governance roadmap, aligning with strategic priorities and objectives.
  • Lead privacy initiatives including consent management, data retention, and cross-border governance.
  • Drive technical direction for Privacy Impact Assessments and third-party integrations.
  • Structure roadmap delivery and operating model across the organization.
  • Oversee engineering projects, risks, and regulatory compliance milestones.
  • Develop privacy metrics, KPIs, and dashboards for executive visibility.
  • Prepare reports and presentations for C-Level executives on program status and risk.
  • Partner with product teams to align technical programs with business goals.

Skills

Data Governance
Data Privacy
Regulatory Compliance
Portfolio Management
Vendor Management
Executive Communication
Data Architecture

Tools

Databricks
Snowflake
AWS

Job description

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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