Risk Management - Consumer and Community Banking Risk Product - Innovation Program Manager Vice President

Bring your Expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in‑class.

As the Vice President – level innovation program manager within Risk Management and Compliance, you play a crucial role in maintaining the strength and resilience of JPMorgan Chase. You contribute to the firm's responsible growth by anticipating new and emerging risks and applying your expert judgment to address real-world challenges that affect our company, customers, and communities. Our culture in Risk Management and Compliance encourages innovative thinking, challenging the status quo, and striving to be best-in‑class. In this role, you will promote the future of model delivery and overall Consumer and Community Banking Risk Products, owning the strategy and execution to significantly accelerate time to market while enhancing quality, resiliency, and governance. You will facilitate success by engaging cross-functionally with Product, Data Science, Architecture, Technology, Risk Criteria, and cross-product partners to scale progressive delivery patterns. This high-visibility role has an enterprise-wide impact, transforming complex technical changes into clear business value and measurable outcomes. If you excel at shaping standards and crafting a compelling value story supported by data, this position may be ideal for you.

Job Responsibilities

• Define a multi‑year innovation strategy based on existing plans and goals for end-to-end risk products that balances speed, risk and controls, and cost efficiency; establish North Star metrics and an execution roadmap.
• Translate strategy into funded initiatives with clear KPIs and value narratives for executive and non‑technical audiences.
• Convene and lead decision forums across Product, Data Science, Engineering, Architecture and others to agree standards and exceptions.
• Navigate competing priorities, broker trade‑offs, and drive outcome‑oriented alignment.
• Understand the voice of our clients across the CCB Risk organization.
• Ensure all innovation is adhering to firmwide governance policies and procedures.
• Embed risk controls, documentation, and auditability into pipelines and artifacts to satisfy regulatory requirements without slowing delivery.
• Facilitate the execution of pilots for progressive delivery methods (e.g., canary and blue‑green), shadow testing, and rollback protocols; implement automated monitoring for model/data drift and decay, and elevate remediation.
• Maintain a curated library of templates, reference architectures, and enablement materials; facilitate adoption through coaching and track adherence via agreed KPIs.
• Define and report program KPIs (e.g., cycle time reduction, automation coverage, change failure rate, MTTR) on a regular cadence; prepare concise updates for senior managers and stakeholders.
• Tailor communications and training for engineers, product managers, risk partners, and business leaders; coordinate roadshows, office hours, and targeted enablement sessions.

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
• 5+ years across Data Science, MLOps, Software/Platform Engineering, or related disciplines.
• Deep hands‑on familiarity with modern innovation and platform practices:
  • CI/CD and infrastructure as code (e.g., GitHub Actions/GitLab/Jenkins; Terraform/CloudFormation)
  • Containerization/orchestration (Docker, Kubernetes) and service deployment patterns
  • Model registries and feature stores; lineage and metadata management.
  • Automated testing for ML (data quality, unit/integration, performance, bias/fairness, explainability).
  • Observability for data and models (drift, performance SLOs, alerting, rollback).
• Executive‑level communication and storytelling skills—able to synthesize complex technical change into business outcomes and influence senior leaders.
• Systems thinking and process design mastery; comfortable mapping current vs. target state and executing iterative change with measurable KPIs.
• Cloud platform experience.

Preferred qualifications, capabilities, and skills

• Advanced degree preferred, but not required.
• Background partnering with audit, compliance, and legal on model documentation and attestations.
• Exposure to GenAI and evaluation frameworks for safety, quality, and performance.
• Exposure to Databricks.

• Strong understanding of risk management and governance in regulated environments, with a strong knowledge of modeling in particular; ability to design “controls as code” and streamline approvals.