AI Compliance Strategy Manager (UK)

The Role We are

seeking

a

Manager

• to partner with UK and European financial-services
• organisations
• as they design, deploy and
• operationalise
• 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 evaluations, defining the control

objective, risk addressed, coverage, thresholds, limitations,

ownership

and required evidence.
Build and refine datasets, scenarios and review cycles that test guardrails against relevant regulatory, conduct, privacy,

security

and

operational-risk

use cases.
Partner with product, engineering and deployment teams to

monitor

guardrail

behaviour

in production, investigate trends and recommend enhancements to controls, workflows,

reporting

and user guidance.
Help define and, where agreed with the customer, support control-alert

and exception-triage workflows: assess materiality and severity, distinguish false positives from actionable findings, route matters to accountable owners, document

rationale

and track remediation through closure.
Assurance, Audit Readiness and Continuous Improvement
Help customers design controls that are auditable by

establishing

clear evidence

standards, testing approaches, issue-management routines,

and documented approvals. Support

customers in the development of control design and operating effectiveness;

suggest strategies to

identify

gaps,

assist

with remediation

plans

and communicate residual-risk considerations to the

appropriate stakeholders.
Prepare clear client-facing artefacts, including control narratives, risk-and-control matrices, test plans, management reporting and audit or assurance-readout materials

to

facilitate

use of Dynamo.
Bring market and customer insight to Dynamo’s product roadmap, including improvements to guardrail creation, reporting, observability,

and usability. What We Are Looking For Core Qualifications Approximately 3–6 years of relevant experience in financial services, a

regulated-industry

environment or a consulting/advisory firm serving regulated clients.
Hands-on experience in one or more of the following: business controls or a

control office; process,

risk

and control (PRC) frameworks; operational/non-financial risk; compliance assurance,

internal audit; or risk and

controls

consulting. Working understanding of the

three lines of defense model and the practical distinction between owning and

operating

controls, providing independent oversight and challenge, and delivering independent assurance.
Experience helping to design, document, test,

monitor

or evidence controls, including control narratives, risk-and-control matrices, risk assessments, test plans, issues/exceptions

or remediation tracking. Ability to

analyse

ambiguous regulatory, policy or operational requirements and convert them into structured, actionable controls and clear client materials.
Strong written and verbal communication skills, with confidence engaging senior stakeholders across risk, compliance, legal,

technology

and business teams. Strong

project-management

skills and

a demonstrated

ability to drive multiple workstreams from research through implementation and reporting.
Comfort working in a fast-moving, high-growth environment, both remotely and in person, with travel of up to 30%.

Preferred Qualifications
Experience with AI governance, AI risk management, model risk management, data governance, privacy, responsible AI, automated decisioning or related technology-risk disciplines.
Familiarity with UK financial-services regulation and supervisory expectations, including the FCA and PRA, and with relevant UK and EU AI, data-protection

or digital-resilience considerations. Experience preparing for,

conducting

or responding to assurance reviews, internal audits, external

audits

or regulatory examinations.
Experience designing operational triage, exception-management, incident-management or issue-remediation workflows, including appropriate escalation and management information.
Familiarity with enterprise AI observability, monitoring, security workflows, governance

tooling

or

controls

automation.
Foundational knowledge of machine learning, large language

models

or AI evaluation concepts.
Relevant Backgrounds and Comparable Roles
We welcome applications from candidates whose current or

previous

role is comparable in scope, even where the title does not include AI. The table below illustrates backgrounds that can translate strongly to this role. Candidate background

Transferable experience for this role

Chief Control Office / Business Controls / Risk & Controls

PRC/RCSA frameworks, control inventory ownership, risk indicators, control testing,

issues

and action tracking; working across the first and second lines.
Operational or Non-Financial Risk / Enterprise Risk

Risk taxonomy, risk appetite, risk assessments, governance and committee reporting, second-line challenge and risk acceptance.
Compliance Assurance / Conduct Risk / Financial Crime Controls

Monitoring and testing, evidence standards, exception management, audit readiness, regulatory

interpretation

and stakeholder

challenge. Internal Audit / Controls Assurance

Independent assurance, audit planning, walkthroughs, testing

methodology,

findings

and remediation validation. Internal-audit candidates should be interested in moving into a

build-and-operationalise

environment.
Financial Services Risk / Controls Consulting

Client delivery, target operating model design,

control-framework

design, transformation,

testing

and executive communication.
What Success Looks Like
Within the first months, you can explain a customer’s AI use case, control environment and relevant accountability model in a way that aligns risk,

technology

and business stakeholders.
You help produce guardrail and control documentation that is clear enough to implement,

operate,

test

and evidence.
You contribute to practical workflows for monitoring, alert triage,

escalation

and remediation that customers can sustain after deployment.
You become a trusted translator between customer control functions and Dynamo’s product and engineering teams, improving both customer outcomes and product capability.
Equal Opportunity
Dynamo AI is committed to creating an inclusive workplace. We consider qualified applicants without regard to protected characteristics

and welcome candidates with diverse professional pathways and lived experience.

About Dynamo AI

• 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

operationalise

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.