At a Glance
- Tasks: Lead risk management for innovative data and AI platforms at JPMorgan Chase.
- Company: Join a global leader in financial services with a commitment to diversity and inclusion.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
- Why this job: Make a real impact by shaping the future of AI governance and risk management.
- Qualifications: Experience in data/AI product delivery or risk oversight, with strong analytical skills.
The predicted salary is between 100000 - 150000 € per year.
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 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 provide 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 behaviours 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 counselling skills (including client‑facing experience), with ability to translate complex technical topics into clear risk positions, influence outcomes, prioritise 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).
About Us: 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 recognise 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.
About The Team: 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.
Compliance - CCOR Risk Management Director - Executive Director in London employer: hackajob
At JPMorgan Chase, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to excel in their roles. As a Compliance - CCOR Risk Management Director, you will benefit from unparalleled professional growth opportunities, competitive compensation, and a commitment to diversity and inclusion, all while working in a collaborative environment that values innovative thinking and challenges the status quo. Join us in our London office, where you can make a meaningful impact on the future of financial services and contribute to our mission of responsible business growth.
StudySmarter Expert Advice🤫
We think this is how you could land Compliance - CCOR Risk Management Director - Executive Director in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those at JPMorganChase. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s culture and values. Show how your experience aligns with their mission in Risk Management and Compliance.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in data/AI governance can help JPMorganChase tackle emerging risks effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and you’re considered for the role.
We think you need these skills to ace Compliance - CCOR Risk Management Director - Executive Director in London
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 management. We want to see how your skills align with the specific requirements of the Compliance - CCOR Risk Management Director role.
Showcase Your Expertise:Don’t hold back on showcasing your technical architecture fluency and understanding of AI regulations. We’re looking for candidates who can demonstrate their ability to challenge designs and ensure compliance, so make it clear how you’ve done this in the past.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain your experiences and achievements, especially those that relate to governance and oversight in data/AI environments. We appreciate clarity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at hackajob
✨Know Your Stuff
Make sure you brush up on your knowledge of data and AI compliance, especially in relation to risk management. Familiarise yourself with the latest regulations and frameworks like the EU AI Act or NIST AI RMF. This will not only show your expertise but also demonstrate your commitment to staying current in a fast-evolving field.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples where you've identified risks and implemented controls in data/AI projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly convey your analytical capabilities and how you've successfully navigated challenges in previous roles.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers by asking insightful questions about their current projects and challenges. This shows that you're genuinely interested in the role and can think critically about how you would fit into their team and contribute to their goals.
✨Demonstrate Strong Communication Skills
Since the role involves translating complex technical topics into clear risk positions, practice explaining intricate concepts in simple terms. This will showcase your ability to communicate effectively with both technical and non-technical stakeholders, which is crucial for the position.