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
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
JPMorganChase Chicago, Illinois, USA Office
Chicago, IL, United States
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