Senior Director of Software Engineering

JPMorgan Chase & Co. • Jersey City, NJ

7d • $232,750 - $325,000

About The Position

As a Senior Director of Software Engineering at JPMorganChase within Corporate Technology, you lead the strategy, engineering, and end-to-end delivery of the department’s Databricks-based data lake and consumption platform on AWS. You provide direction to global engineering teams building data pipelines, APIs, reporting products, and self-service analytics capabilities. In partnership with business, product, technology, and control stakeholders, you translate business priorities into a platform roadmap and deliver secure, governed, scalable capabilities for production use. Your leadership connects platform architecture, engineering execution, and stakeholder adoption.

Requirements

• Formal training or certification in software engineering concepts and 10+ years of applied experience, including 5+ years leading technologists in the delivery of complex engineering capabilities.
• Experience leading large or cross-functional, globally distributed engineering teams, including hiring, developing, and recognizing talent.
• Deep technical or architectural expertise in Databricks on AWS, including Unity Catalog, Delta Sharing, Lakehouse Federation, and data pipeline development.
• Demonstrated success delivering enterprise-scale data platforms with production-grade access controls, lineage, data classification, and operational support.
• Experience delivering data consumption and self-service analytics capabilities spanning pipelines, APIs, and reporting or front-end data products.
• Demonstrated ability to influence senior stakeholders in highly matrixed organizations and translate business requirements into platform architecture, delivery priorities, and measurable outcomes.
• Experience leading complex initiatives spanning system design, testing, deployment, resilience, and operational stability, supported by extensive practical cloud-native experience.
• 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 and quality gates), measurement frameworks, and secure handling of sensitive inputs and 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.

Nice To Haves

• Experience in financial services or another highly regulated industry.
• Experience with federated data access and sharing across multiple workspaces, catalogs, business units, or legal entities.
• Familiarity with audit and control-testing programs and the implications of coarse-grained and fine-grained data access models.

Responsibilities

• Own the platform strategy, roadmap, and delivery across data onboarding, access provisioning, and consumption capabilities, balancing business demand, engineering dependencies, and operational risk.
• Lead and develop global, distributed engineering teams delivering data pipelines, APIs, front-end data products, and self-service analytics; establish technical standards, delivery accountability, and cross-team collaboration.
• Direct data onboarding and integration using Unity Catalog, Delta Sharing, and Lakehouse Federation, enabling governed access across workspaces, catalogs, and lines of business.
• Partner with senior business, product, technology, audit, and compliance stakeholders to prioritize investments, resolve competing objectives, and communicate architectural choices and delivery trade-offs.
• Establish and enforce onboarding controls for data classification, metadata, lineage, and access, ensuring source-data classification approval and clear ownership before data is made available for consumption.
• Own platform production readiness, scalability, resilience, and audit readiness; drive remediation of control gaps involving service identities, credential lifecycle, classification coverage, and schema changes.
• Define and monitor service-level objectives for stakeholder-facing data products, with clear accountability for reliability, support, and operational performance.
• Evaluate and adopt Databricks-native capabilities, including declarative pipelines and conversational analytics, where they improve usability, governance, delivery efficiency, or cost.
• Set standards for enterprise-authorized AI-assisted and agentic engineering workflows across teams, including automated testing and release governance, with appropriate human oversight, security, validation, resilience, and traceability.
• Set and scale multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation using enterprise-authorized tools within the work environment to advance firmwide objectives such as speed, scalability, reliability, and cost-to-serve. Establish portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, incident response acceleration, and guardrails for validation, security, resiliency, traceability, and reuse.
• Apply 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.

Benefits

• Competitive total rewards package, including base salary determined based on role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching. Additional benefits and programs are based on eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed