International Consumer Banking AI/ML Governance Control Manager - Vice President

Required qualifications, capabilities, and skills

• Demonstrated subject-matter capability in AI/ML use case and model governance and oversight, with experience across the full model lifecycle, including GenAI/LLM patterns and third-party/open-source/hosted model components.
• Advanced proficiency in model risk management, utilising techniques to identify, assess, mitigate risks and apply controls throughout the AI model lifecycle.
• Apply skills in bias detection and mitigation, ensuring AI/ML models produce fair and ethical outcomes.
• Ensure AI regulatory compliance by applying in-depth knowledge of relevant regulations and internal standards and policies to AI/ML systems.
• Significant relevant experience in operational risk, internal controls, audit, and/or control management within complex regulated environments.
• Strong expertise in operational risk and internal control frameworks, including assessment, testing/validation, issue remediation, and governance reporting within retail banking.
• Hands-on experience with Risk Control Self-Assessment (RCSA) / CORE-type processes, operational risk issue management, and control deficiency remediation.
• Experience leading cross-functional initiatives with measurable outcomes; ability to diagnose problems, define root cause, and drive execution to closure.
• Strong judgment under pressure; ability to manage competing priorities and non-negotiable deadlines.
• Clear, concise communication skills (written, verbal, and presentation), with the ability to influence senior stakeholders and escalate effectively when needed.
• Ability to challenge constructively, resolve conflicts, and enforce accountability across stakeholders.

Preferred qualifications, capabilities, and skills

• Familiarity with AI/ML control frameworks and translating policy/standard requirements into testable controls, measurable KPIs/KRIs, and evidence standards.
• Experience in technology, data, or analytics control environments (e.g., technology risk and controls, IT audit, data/analytics governance, SDLC/ML lifecycle controls).
• Comfortable operating in agile/digital-first delivery models and using delivery tools (e.g., Jira, Confluence).
• Management-level experience at a large financial institution, regulator, or consulting firm; experience supporting the build-out of a new retail/digital bank is a plus.

#ICB

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Control Management maintains a strong and consistent control environment through a joint accountability model that aligns managers with each function and region to mitigate operational risk. The team focuses on four areas: Control Design & Expertise, Risks & Controls Identification/Assessment, Issues & Control Deficiencies and Control Governance & Reporting.