Sr Manager of Software Engineer - Data

JPMorgan Chase & Co.; Houston (TX); On-site; USD 170,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. in Houston seeks a Senior Manager of Software Engineering to provide technical coaching and advisory across multiple teams, shaping budgets and platform decisions to drive efficiency and capabilities.

The role leads data engineering teams, governs complex modernization programs, and ensures delivery across cloud data platforms, pipelines, and production readiness, while maintaining strong leadership and cross-functional collaboration.

Qualifications

• 10+ years of overall professional experience with 4+ years in people leadership.
• Experience managing complex programs with multiple workstreams and executive stakeholders.
• Proven success delivering enterprise modernization, platform migration, or related initiatives.
• Strong governance, planning, risk and issue resolution, and executive communications.
• Ability to explain technical concepts related to cloud, APIs, data platforms, and distributed systems.
• Experience leading data engineering teams and enterprise data platforms.

Responsibilities

• Lead integrated modernization plan across application delivery, data engineering, migration, and cutover.
• Lead and develop a high-performing data engineering organization with staffing and coaching.
• Provide inclusive people leadership through mentoring, feedback, and career development.
• Define and execute data engineering strategy for ingestion, transformation, quality, metadata, and lineage.
• Oversee data platform delivery across Snowflake, Databricks, AWS, Redshift, S3, and related tech.
• Establish engineering standards for scalable pipelines, testing, observability, and cost management.
• Partner with architecture, governance, analytics, risk, and business teams for data ownership and compliance.
• Coordinate scope, milestones, dependencies across APIs, Kafka/Avro, data models, and infrastructure.
• Manage program governance with executive reporting, risk resolution, and change management.
• Build relationships with senior leaders, product owners, and vendors, driving accountability.

Skills

People leadership

Program governance

Stakeholder management

Cloud platforms & data

Data architecture concepts

APIs & event-driven

Analytical skills

Negotiation

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Delta Lake

Spark

AWS data services

Redshift

S3

Kafka

Avro

Camunda

Job description

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.