JPMorganChase
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Senior Director of Software Engineering - CCB Risk Technology Feature Platform Engineering
JPMorganChase
Senior Director of Software Engineering - CCB Risk Technology Feature Platform Engineering
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Leads the technical vision, architecture, delivery, reliability, governance, and operations of a large-scale risk feature engineering platform. Manages multiple engineering teams and senior leaders, drives Databricks and AWS platform strategy, oversees batch and real-time data systems, and establishes standards for agentic AI-enabled development, security, resiliency, data quality, and regulatory controls. Partners with executives and technology stakeholders to deliver cross-organizational platform adoption and modernization.
Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.
As a Senior Director of Software Engineering at JPMorganChase within the Corporate Technology line of business, you will own the technical vision and end-to-end delivery of the Consumer and Community Banking Risk Feature Engineering Platform. You lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.
Job responsibilities
As a Senior Director of Software Engineering at JPMorganChase within the Corporate Technology line of business, you will own the technical vision and end-to-end delivery of the Consumer and Community Banking Risk Feature Engineering Platform. You lead multiple technical areas, manage the activities of multiple departments, and collaborate across technical domains. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances.
Job responsibilities
- Sets the multi-year technical vision and architecture for the Risk Feature Engineering Platform, and is the accountable owner for delivery, reliability, cost of ownership, controls, and portfolio operations
- Builds, develops, and holds accountable a team of engineers running product-oriented streams including the Feature Store, attribute engines & migration, and real-time feature generation
- Serves as the definitive technical authority for the platform — resolves the hardest architecture and trade-off decisions, sets engineering standards, and raises the technical bar of the leadership bench beneath them
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
- Sets the data-governance, data-quality, and lineage direction across the platform and its regulatory posture, including PCI handling
- Partners directly with Databricks on platform roadmap, GA timelines, and feature parity, and aligns the Risk Feature Store with the firm's broader declarative and feature-platform direction
- Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
- Manages multiple stakeholders, complex projects, and large cross-product collaborations
- Influences peer leaders and senior stakeholders across the business, product, and technology teams
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- A demonstrated record as a technical leader who sets direction, not just execution — someone who has personally architected large-scale platforms and can still go deep enough to earn the trust of senior engineers
- Deep architectural command of Databricks and Apache Spark at enterprise scale — Lakeflow / Delta Live Tables, Unity Catalog, PySpark, and declarative pipeline patterns — and the judgment to bet a platform's future on the right generation of the technology
- Proven success designing and delivering large-scale batch and real-time data/feature platforms in production, including low-latency serving (JVM services, Kafka, modern concurrency) against strict TPS / P99 SLAs
- Strong public-cloud engineering foundation on AWS (EMR, Glue, Lambda, S3, ECS/EKS, Aurora/RDS) and infrastructure-as-code with Terraform
- 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.
- Advanced fluency in one or more of Python, Java, or Scala, distributed computing, and online/NoSQL stores — sufficient to lead architecture reviews and adjudicate technical disputes
- Demonstrated ownership of data governance, data quality, and lineage for a regulated, large-scale data platform
- Experience hiring, developing, and retaining senior engineering leaders; experience partnering with (or serving as) Product ownership on a platform product
- In-depth knowledge of the financial services industry and its IT systems, and the credibility to represent a platform to executive stakeholders
Preferred qualifications, capabilities, and skills
- Direct experience standing up or leading an ML feature store / feature platform at scale (Databricks Feature Engineering, Feature Views, Mosaic AI Model Serving, or comparable — Tecton, Feast, custom-on-Delta)
- Experience migrating a legacy Spark/EMR estate to a Databricks-native, declarative target state across a large engine/pipeline fleet
- Databricks (Data Engineer Professional / Architect) and/or AWS Solutions Architect certification
- Familiarity with credit-risk / fraud modeling data needs and point-in-time correctness for training pipelines
- Snowflake, Databricks SQL, and lakehouse governance (Unity Catalog fine-grained access, PCI data handling)
- Data encryption & key management best practices, especially AWS KMS
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
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