Applied AI ML-Vice President

Overview

As an Applied AI ML Vice President within Chase Community Bank’s Digital & Technology organization, you will work with a team of data scientists and ML engineers to drive the development, monitoring, and governance of production AI/ML models — including large language models and generative AI systems — that shape the Chase digital experience.

• Establish and maintain robust model governance frameworks in alignment with firm‑wide model risk management policies and regulatory requirements, ensuring all AI/ML models adhere to established monitoring, validation, and control standards.
• Partner with model risk management, compliance, and audit teams to oversee model documentation, periodic review cycles, and risk tiering for AI/ML and generative AI assets.
• Lead the monitoring and performance management of AI/ML models in production, ensuring accuracy, fairness, and stability across the Chase digital platform.
• Identify and implement opportunities to leverage generative AI tools—such as LLM‑based automation, agentic workflows, and prompt engineering—to accelerate team productivity, improve model governance pipelines, and enhance operational efficiency.
• Communicate model performance, risk posture, and AI innovation initiatives to senior leadership, translating complex technical concepts for non‑technical stakeholders.

• Undergraduate degree with 4+ years OR master’s degree with 3+ in Computer Science, with training and work experience in applied machine learning, data science, or AI engineering.
• Deep expertise in the full ML model lifecycle—development, deployment, monitoring, and governance—demonstrated through managing production models at enterprise scale.
• Proven ability to lead cross‑functional initiatives and influence senior stakeholders in a matrixed organization.
• Excellent written and verbal communication skills, with the ability to present technical findings and risk summaries to executive audiences.

• Hands‑on experience with generative AI technologies, including large language models (LLMs), retrieval‑augmented generation (RAG), prompt engineering, and agentic frameworks.
• Experience in consumer banking, digital financial services, or a highly regulated industry.
• Track record of leveraging generative AI to drive automation and efficiency improvements within a data science or technology organization.

We offer a competitive total rewards package including base salary determined by role, experience, skill set and location. Eligible roles may receive commission‑based pay and/or discretionary incentive compensation. Additional benefits include health care coverage, retirement savings plan, tuition reimbursement, mental health support, and more.

We are an equal opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.