Leads a data engineering organization and enterprise modernization programs spanning data platforms, migration, integration, testing, cutover, and decommissioning. Defines data engineering strategy, oversees Snowflake, Databricks, AWS, Redshift, and S3 delivery, and establishes standards for pipelines, quality, governance, observability, security, and reliability. Manages people, program governance, dependencies, risks, executive communications, vendors, and cross-functional delivery across complex modernization initiatives.
As a Senior Manager of Software Engineering, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
Job responsibilities
- Lead and deliver the integrated modernization plan across application delivery, data engineering, migration, integration, testing, parallel run, operational readiness, production cutover, and decommissioning.
- Lead and develop a high-performing data engineering organization, including staffing, coaching, performance management, delivery quality, succession planning, and continuous improvement.
- Provide inclusive people leadership through regular coaching, mentoring, feedback, career development, and recognition that enables team members to grow and perform at their best.
- Define and execute the data engineering strategy for ingestion, transformation, data quality, metadata, lineage, data products, and analytical consumption.
- Oversee data platform delivery across Snowflake, Databricks, AWS data services, Redshift, S3, and related orchestration and streaming technologies.
- Establish engineering standards for scalable pipelines, reusable frameworks, automated testing, observability, incident response, cost management, security, and supportability.
- Partner with data architecture, governance, analytics, risk, business, and domain teams to establish trusted data ownership, access controls, service levels, and regulatory compliance.
- Coordinate scope, milestones, critical-path activities, readiness criteria, and dependencies across APIs, Kafka and Avro contracts, data models, legacy capabilities, downstream consumers, infrastructure, and external partners.
- Manage program governance, including executive reporting, risk and issue resolution, decisions, change management, dependency escalation, and outcome-based measures, while leading parallel-run, migration, cutover, and decommissioning planning.
- Build strong relationships with senior leaders, product owners, delivery leads, vendors, and dependent programs, communicating complex topics clearly and driving accountability across teams.
Required qualifications, capabilities, and skills
- 10+ years of overall professional experience, including 4+ years in a people leadership role.
- Experience managing complex programs with multiple workstreams, delivery teams, and executive stakeholders.
- Demonstrated success delivering enterprise modernization, platform migration, application transformation, or comparable initiatives.
- Strong experience with program governance, integrated planning, dependency management, risk and issue resolution, and executive communications.
- Ability to understand and communicate technical concepts involving cloud platforms, APIs, event-driven architecture, data platforms, and distributed systems.
- Demonstrated experience managing data engineering teams and delivering enterprise data platforms, pipelines, or analytical data products.
- Strong understanding of modern data engineering practices, including batch and streaming ingestion, data modeling, orchestration, data quality, lineage, governance, and platform reliability.
- Strong analytical, organizational, negotiation, and decision-making skills.
- Hands-on familiarity with Snowflake, Databricks, Delta Lake, Spark, AWS data services, Redshift, S3, and enterprise data integration patterns.
- Bachelor's degree or equivalent experience.
Preferred qualifications, capabilities, and skills
- Experience with finance, lending, originations, servicing, or other financial-services domains.
- Familiarity with AWS, microservices, Kafka, Avro, Camunda or workflow orchestration, and modern data architectures.
- Experience leading data platform modernization, cloud migration, lakehouse adoption, or consolidation of legacy analytical platforms.
- Experience leading legacy-platform replacement, parallel operations, data migration, or production cutover programs.
- Experience establishing technology operating models, delivery metrics, and executive-level governance forums.
- Program or delivery certifications such as PMP, PgMP, SAFe, or equivalent experience.
- Master's degree in business, technology, engineering, or a related discipline.
About Us
JPMorganChase, 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
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Own the technical customer relationship for SLED and local government accounts from discovery through adoption, renewal, and expansion. Lead technical validation, architecture design, product demonstrations, proofs of concept, onboarding, QBRs, and integration troubleshooting across security, networking, and developer platforms. Partner with account executives in a quota-carrying role, translate technical value into business outcomes, and use AI-assisted workflows to automate RFP responses, provisioning, and telemetry monitoring.
Top Skills:
Ai GatewayApi ConnectorsCloud InfrastructureCloudflare Workers AiDdos MitigationDnsEdge ComputingJavaScriptLlm OrchestrationPythonRagVectorizeWeb Security
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Leads approximately 20 manufacturing engineers supporting electronics assembly, product design challenges, new product introduction, and transition to production. Manages NRE activities, equipment and fixtures, process documentation, pilot-line processes, continuous improvement, and production problem resolution. Partners with engineering and factory teams to incorporate manufacturability feedback, while owning engineering team quality, schedule, cost, staffing, mentoring, and development.
Top Skills:
As9145Circuit Card Assembly (Cca)Electrostatic Sensitive Device (Esd)Foreign Object Debris (Fod) PreventionIpc-610Lean ManufacturingSix SigmaSurface Mount Technology (Smt)
Automotive
Leads and develops a 5–10-person software engineering team, sets technical strategy, guides architecture and API design, and partners with product, design, data science, and business stakeholders. Owns product delivery, reliability, observability, incident response, security, automation, testing, continuous delivery, and operational health while hiring talent and fostering an inclusive, high-performing team culture.
Top Skills:
DynatraceFirestoreGCPGitGoogle AdkJavaPostgresPythonReact
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
