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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. Partnering with business, product, technology, and control stakeholders, you translate business priorities into a platform roadmap and deliver secure, governed, scalable capabilities that support production use. Your leadership connects platform architecture, engineering execution, and stakeholder adoption.
Job 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.
- 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- 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, 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.
Preferred qualifications, capabilities, and skills- 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.
ABOUT USJPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAMOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
