Director, AI Risk & Compliance Engineering

Thomson Reuters

Greater London

Hybrid

GBP 180,000 - 280,000

Full time

14 days+
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Benefits offered by this job

Hybrid Work Model
Flex My Way
Grow My Way
Headspace app
Retirement savings
Tuition reimbursement
Volunteer days
ESG initiatives
Mental Health days

Job summary

Thomson Reuters is seeking a Director, Risk & Compliance Engineering & Assurance to lead the AI/data-product strategy for risk and compliance. You will set technical direction, drive governance, and build a world-class forward-engineering capability, partnering with Data & Analytics and enterprise teams to deliver automated assurance and risk insights at scale.

You will guide teams in AI/ML, data engineering, and platform governance, ensuring enterprise-grade solutions and responsible AI

Qualifications

  • Extensive leadership of software, data, or AI/ML teams delivering enterprise-scale solutions.
  • Ability to set direction in ambiguity and translate complex problems into scalable, governed solutions.
  • Experience shaping operating models, delivery cadence, and tooling in a product context.
  • Strong AI/ML experience with production-grade, enterprise-grade systems.

Responsibilities

  • Set and own the risk and compliance AI and data-product strategy and roadmap.
  • Lead the forward-engineering team and drive capability development.
  • Establish partnerships with Data & Analytics and shared-service models.
  • Deliver prioritized data products and automation across risk and compliance.
  • Own product operating disciplines including management, semantics, and access control.
  • Measure success by decision-influence and accountability outcomes.

Skills

Leadership
AI/ML foundations
Python
SQL
Cloud platforms
Data pipelines
Snowflake
MLOps
LLMs / RAG
AI governance

Tools

Snowflake
AWS
GCP
LangChain / LangGraph

Job description

Thomson Reuters is seeking a Director, Risk & Compliance Engineering & Assurance to lead the AI/data-product strategy for risk and compliance. You will set technical direction, drive governance, and build a world-class forward-engineering capability, partnering with Data & Analytics and enterprise teams to deliver automated assurance and risk insights at scale.

You will guide teams in AI/ML, data engineering, and platform governance, ensuring enterprise-grade solutions and responsible AI

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