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AI Compliance Strategy Manager

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: DynamoFL, Inc.
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    AI Evaluation
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: AI Compliance Strategy Manager )
Location: Greater London

Dynamo AI helps enterprises deploy AI systems that are reliable, secure and production-ready. Our technical controls span AI evaluations, guardrails, agentic risk management and observability. We partner with innovative, highly regulated global organisations across financial services, government and other critical sectors to deploy meaningful AI use cases at scale, securely and compliantly.

About the AI Compliance Strategy Team

Dynamo’s AI Compliance Strategy team works at the intersection of AI risk-control development, product strategy and customer execution. We partner directly with risk, compliance, legal, controls, audit, technology and business leaders to turn regulatory and enterprise risk expectations into operational AI governance, controls and evidence.

The team helps customers ope rationalise technical AI risk controls; develops best-in-class runtime guardrails aligned to laws, regulations and emerging practice; informs product strategy; and contributes to high-impact policy and industry engagement.

The Role

We are seeking a Manager to partner with UK and European financial-services organisations as they design, deploy and ope rationalise AI risk evaluations and guardrail controls. You will work with AI governance, chief control office, operational-risk, compliance, legal, privacy, model-risk, technology and internal-audit stakeholders to help customers make AI controls usable, testable and defensible.

This is a hands-on, client-facing role. You will translate regulatory and risk expectations into practical guardrail designs, support customers to integrate controls into their process, risk and control (PRC) taxonomy, and partner with product and deployment teams to refine control performance in production. You will also help customers define the organisational design, accountability and assurance mechanisms needed to scale AI responsibly.

Transferable

experience is welcome

We do not expect every applicant to have held a dedicated ‘AI governance’ of ‘AI risk management’ title. We welcome candidates with strong transferable experience in financial-services controls, risk, assurance or audit who are eager to apply that expertise to AI. Relevant backgrounds include control office and business-control teams, operational or non-financial risk, compliance assurance, internal audit, privacy and advisory / consulting roles.

What

You Will Do Customer Control Integration and Operating Model Design
  • Advise prospective and current financial-services customers on deploying Dynamo AI controls to manage legal, regulatory, conduct, operational and reputational risk.
  • Assess each customer’s current AI governance, risk and control environment; map Dynamo guardrails into relevant processes, risk taxonomies, control libraries, risk-and-control self-assessments and evidence workflows.
  • Help customers define pragmatic AI-risk target operating models, including decision rights, RACI matrices, governance forums, escalation paths and lifecycle responsibilities across business and technology owners, second-line oversight functions and independent assurance.
  • Apply a practical understanding of the three lines of defense model to position controls correctly: first-line ownership and operation; second-line policy, risk and compliance oversight and challenge; and third-line independent assurance.
  • Lead workshops, demonstrations and training sessions that enable senior and operational stakeholders to adopt Dynamo and operate controls consistently.
AI Guardrail Design, Control Operations and Alert Triage
  • Translate applicable UK, EU and global laws, regulations, supervisory expectations and customer policies into clear guardrail objectives, requirements and test cases.
  • Design, document and validate AI guardrails and…
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