CIB Controls Management is at the forefront of a rapidly evolving landscape, where regulatory expectations, operational complexity, and digital transformation are reshaping how risk and controls are managed. As one of the industry's largest and most influential institutions, JPMorganChase has a unique opportunity to establish new standards for data-driven controls management, enterprise reporting, and AI-enabled decisioning.
This Vice President role within the Corporate & Investment Bank (CIB) Controls Management Tech & Tooling team is responsible for driving the design, delivery, and evolution of the Centralized Control Data Store (DRIFT), a strategic data platform underpinning Controls Assessment Transformation (CAT). Operating at the intersection of business, data, and engineering, the role will lead the integration of control data across approximately 30-40 upstream systems into a centralized Snowflake-based ecosystem, enabling scalable analytics, enterprise reporting, thematic insights, and AI/ML-driven controls capabilities.
As a Lead Data Engineer within the CAT operating model, you will partner closely with Product Managers, Engineering teams, Data organizations, and senior stakeholders to translate strategic requirements into scalable data solutions. You will drive the development of robust data pipelines, trusted data products, and modern engineering practices that enhance data quality, operational resilience, and self-service analytics. The role offers the opportunity to shape next-generation data capabilities that accelerate controls transformation, improve decision quality, and support AI-enabled innovation across Corporate & Investment Bank (CIB) Controls.
Key Responsibilities
- Design and develop scalable data pipelines to ingest, transform, and manage data from multiple structured and semi-structured sources within Snowflake.
- Build and optimize data models, ETL/ELT processes, and reusable engineering components to support reporting, analytics, and AI/ML use cases.
- Implement data quality controls, validation frameworks, and monitoring capabilities to ensure trusted and reliable datasets.
- Collaborate with upstream application teams and data providers to onboard new data sources, resolve data issues, and support ongoing platform enhancements.
- Partner with analytics, reporting, and controls teams to deliver consumption-ready data products that meet business requirements.
- Support platform stability, performance tuning, operational monitoring, and production issue resolution while contributing to engineering best practices.
- Provide technical leadership and mentorship to junior engineers, promoting high-quality design, coding, testing, and documentation standards.
Required Qualifications
- 8+ years of data engineering experience with significant hands-on development experience in Snowflake-based environments.
- Strong expertise in Snowflake, including Snowpipe, Tasks, Streams, SQL, and modern data modeling practices.
- Strong programming skills in Python and experience building scalable ETL/ELT solutions.
Demonstrated hands-on expertise in Snowflake, SQL, Python, and modern data engineering practices.
Exposure to vector databases, RAG pipelines, and AI/LLM-enabled data architectures is a plus.
- Experience integrating data from multiple upstream systems and supporting large-scale data transformation and reporting workloads.
- Solid understanding of data governance, data quality, metadata management, and operational support processes.
- Strong problem-solving, stakeholder management, and communication skills with the ability to work effectively across business and technology teams.
- Experience mentoring engineers and leading technical workstreams within agile delivery teams.
Skills Required
- 8+ years of data engineering experience with significant hands-on development in Snowflake-based environments
- Strong expertise in Snowflake, including Snowpipe, Tasks, Streams, SQL, and modern data modeling
- Strong programming skills in Python and experience building scalable ETL/ELT solutions
- Hands-on expertise in Snowflake, SQL, Python, and modern data engineering practices
- Experience integrating data from multiple upstream systems and supporting large-scale data transformation and reporting workloads
- Understanding of data governance, data quality, metadata management, and operational support processes
- Strong problem-solving, stakeholder management, and communication skills across business and technology teams
- Experience mentoring engineers and leading technical workstreams within agile delivery teams
- Exposure to vector databases, RAG pipelines, and AI/LLM-enabled data architectures
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.
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