AI Risk & Compliance Executive Director

AI Risk & Compliance Executive Director

Full-Time 100000 - 150000 £ / year (est.) No working from home possible
JPMorganChase

At a Glance

  • Tasks: Lead AI risk management and compliance strategies at JPMorganChase.
  • Company: Join a global leader in financial services with a commitment to innovation.
  • Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
  • Other info: Embrace a dynamic environment focused on diversity and inclusion.
  • Why this job: Make a real impact on AI governance and help shape the future of finance.
  • Qualifications: Experience in data/AI product delivery or risk oversight is essential.

The predicted salary is between 100000 - 150000 £ per year.

Bring your expertise to JPMorganChase. As part of Risk Management and Compliance, you are at the center of keeping JPMorganChase 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 an Executive Director in Data and AI Compliance, Conduct and Operational Risk (CCOR), you will provide second line of defense (2LoD) independent oversight across the Chief Data & Analytics Office (CDAO) Product and Platform organization, with a focus on Data/AI platforms, model ingestion and onboarding, agentic systems, and external AI services. You will develop and execute targeted review strategies across the AI technical supply chain-data flows, integrations, access controls, logging/traceability, and data residency-ensuring products and platforms operate within the firm's risk appetite and align to regulatory expectations.

Your role will report to the Head of AI, CCOR, and provides independent 2LoD oversight across the CDAO Product & Platform data and AI portfolio, spanning internally built products and third‑party/SaaS capabilities (e.g., data access and connectivity, governance/lineage/metadata, model development and notebooks, model serving, agentic capabilities, and managed data/AI platforms). You will assess whether risks are appropriately identified and controlled throughout the product lifecycle (including logging/traceability, data residency, third‑party risk, access/entitlements, and human‑in‑the‑loop safeguards where applicable), challenge and influence teams to remediate gaps, and escalate through governance channels or other mechanisms when needed to achieve acceptable risk outcomes.

Job Responsibilities

  • Provide strategic guidance and proactive 2LoD oversight through targeted assessments of CDAO Product & Platform governance, processes, and control environments across the data and AI portfolio.
  • Apply technical architecture expertise to challenge how data/AI services are designed and consumed (e.g., APIs, managed services, model gateways, identity and access patterns, orchestration layers), with a focus on secure control points and end-to-end auditability.
  • Drive first line accountability for defining and reporting meaningful KRIs and control evidence (e.g., logging/traceability, data residency adherence, third-party dependencies, exception trends), and challenge content, quality, and outcomes as needed.
  • Serve as an independent challenger for third-party/SaaS and managed AI platforms, validating risk and control expectations for data sharing/egress, vendor usage constraints, and operational resilience.
  • Oversee governance for GenAI and agentic systems (including tool-enabled assistants and external model integrations), ensuring proportionate guardrails, least-privilege access, human oversight where required, and defined stop/containment mechanisms.
  • Provide 2LoD oversight of foundational data governance products (inventory/CDE, metadata, lineage, catalog, data quality), ensuring they enable compliant data use and support obligations such as BCBS 239 across CDAO Product & Platform.
  • Influence and reinforce right risk behaviors within Product & Platform teams by requiring appropriate SME engagement, clear ownership, timely remediation, and consistent follow-through to closure.
  • Stay current on evolving AI regulations and AI risk frameworks and translate them into actionable oversight expectations, review checklists, and audit-ready documentation.

Required qualifications, capabilities and skills

  • Significant relevant experience in (a) data/AI product and platform delivery with strong control-by-design practices, or (b) risk/governance oversight across data/AI and cloud with demonstrated independent challenge.
  • Demonstrated ability to operate with credible challenge and strong governance discipline (e.g., driving first line ownership, reviewing evidence, documenting risk positions, and escalating issues to resolution), while collaborating effectively with senior stakeholders and partners.
  • Demonstrable technical architecture fluency, with experience assessing and challenging designs for data/AI platforms and integrations (APIs and managed services, security gateways, IAM/least privilege, logging/observability, data residency and egress controls).
  • Strong understanding of AI/LLM capabilities and risks across the lifecycle (model onboarding/ingestion, retrieval/RAG patterns, model serving) and associated control points (traceability, access, data handling), including assessing control design and operational effectiveness in fast-changing environments.
  • Experience with agentic AI architectures and tool-enabled assistants (e.g., overseeing "Claude Code"-style deployments), including guardrails, access boundaries, traceability, and human oversight appropriate to risk.
  • Strong analytical and issue-spotting capability to drive risk decisions.
  • Excellent communication and counseling skills (including client-facing experience), with ability to translate complex technical topics into clear risk positions, influence outcomes, prioritize across competing demands, and drive closure on remediation action.

Preferred qualifications, capabilities and skills

  • Awareness of evolving AI regulations and AI risk frameworks, with ability to translate them into practical governance, controls, and operating model requirements (e.g., EU AI Act, NIST AI RMF; familiarity with NIST/ISO is beneficial).
  • Experience in a regulated environment is preferred (including roles within major cloud/service providers supporting regulated customers).

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 strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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.

AI Risk & Compliance Executive Director employer: JPMorganChase

At JPMorganChase, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As an Executive Director in AI Risk & Compliance, you will not only play a pivotal role in shaping the future of our data and AI governance but also benefit from extensive professional development opportunities and a culture that encourages challenging the status quo. Our commitment to diversity and employee well-being ensures that every team member feels valued and empowered to contribute meaningfully to our mission.

JPMorganChase

Contact Details:

JPMorganChase Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Risk & Compliance Executive Director

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those at JPMorganChase. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Prepare for interviews by diving deep into the company’s culture and values. Show them you’re not just about the skills but also about fitting in with their mission of responsible growth.

Tip Number 3

Practice your storytelling! Be ready to share specific examples of how you've tackled challenges in risk management or compliance. This will help you stand out as someone who can think outside the box.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.

We think you need these skills to ace AI Risk & Compliance Executive Director

Data/AI Product and Platform Delivery
Control-by-Design Practices
Risk/Governance Oversight
Technical Architecture Fluency
APIs and Managed Services
Security Gateways
Identity and Access Management (IAM)

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data/AI product delivery and risk governance. We want to see how your skills align with the specific requirements of the AI Risk & Compliance Executive Director role.

Showcase Your Expertise:Don’t hold back on showcasing your technical architecture fluency and understanding of AI risks. Use examples from your past experiences to demonstrate how you've successfully navigated similar challenges. This is your chance to shine!

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and experiences. Avoid jargon unless it's relevant to the role.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at JPMorganChase

Know Your Stuff

Make sure you brush up on the latest trends and regulations in AI and data compliance. Familiarise yourself with frameworks like the EU AI Act and NIST AI RMF, as these will likely come up during your chat. Being able to discuss these topics confidently will show that you're not just knowledgeable but also proactive.

Showcase Your Experience

Prepare specific examples from your past roles where you've successfully managed risks or implemented governance strategies in data/AI environments. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it easier for the interviewers to see your impact.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the company's approach to AI risk management and how they foresee the landscape evolving. This not only shows your interest but also your strategic thinking skills, which are crucial for an Executive Director role.

Demonstrate Leadership Skills

As an Executive Director, you'll need to influence and guide teams. Be ready to discuss how you've led initiatives in the past, particularly in challenging situations. Highlight your ability to foster collaboration and drive accountability within teams, as this aligns perfectly with the role's responsibilities.