Senior Director of Software Engineering - CCB Risk Technology Feature Platform Engineering
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
- 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
- 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
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
Skills Required
- Formal training or certification in software engineering concepts
- 10+ years of applied software engineering experience
- 5+ years leading technologists managing complex technical initiatives
- Experience architecting large-scale platforms and providing technical direction
- Deep enterprise-scale Databricks and Apache Spark expertise, including Lakeflow, Delta Live Tables, Unity Catalog, PySpark, and declarative pipelines
- Experience designing and delivering large-scale batch and real-time data or feature platforms in production
- Experience with low-latency JVM services, Kafka, modern concurrency, and strict TPS/P99 SLAs
- Strong AWS engineering experience with EMR, Glue, Lambda, S3, ECS/EKS, Aurora/RDS, and Terraform
- Experience leading multi-organization adoption of agentic AI-enabled engineering operating models
- Experience defining AI governance, human-in-the-loop decisioning, quality gates, measurement frameworks, and secure handling of sensitive data
- Understanding of responsible AI risk, controls, resiliency, and security expectations at scale
- Advanced fluency in Python, Java, or Scala
- Experience with distributed computing and online or NoSQL stores
- Ownership of data governance, data quality, and lineage for regulated large-scale data platforms
- Experience hiring, developing, and retaining senior engineering leaders
- Experience partnering with or serving as Product owner for a platform product
- In-depth knowledge of financial services industry IT systems
- Experience leading an ML feature store or feature platform at scale
- Experience migrating legacy Spark or EMR environments to Databricks-native declarative architecture
- Databricks Data Engineer Professional or Architect certification
- AWS Solutions Architect certification
- Familiarity with credit-risk or fraud-modeling data requirements and point-in-time correctness
- Experience with Snowflake, Databricks SQL, and Unity Catalog lakehouse governance
- Knowledge of data encryption and key management, especially AWS KMS
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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