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JPMorganChase

engineering opportunity

Sr Manager of Software Engineer - Data

Lead and develop a high-performing data engineering organization while overseeing the integrated modernization plan for data platforms and applications. Define and execute data engineering strategies, including ingestion, transformation, and quality, while managing complex program governance and stakeholder relationships.

Houston, Texas, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at JPMorganChase?

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.

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

[https://careers.jpmorgan.com/us/en/how-we-hire/faqs] for more information about

requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including

Disability/Veterans

Our 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.

Which skills does this role require?

Data engineeringPeople leadershipCloud platformsSnowflakeDatabricksProgram governanceData architectureStakeholder managementData qualityStreaming ingestionRisk managementTechnical coachingStrategic planningData EngineeringSoftware EngineeringRedshiftS3Data ModelingData GovernanceProgram GovernanceDelta LakeSparkFinancial ServicesData ProductsAnalytical ConsumptionObservabilityIncident ResponseCost ManagementSecurity

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