Director, Risk & Compliance Engineering & Assurance

Overview

As Director, you will set and own the Risk & Compliance AI and data-product strategy, shaping how AI, automation, and agentic workflows scale across Thomson Reuters. You will deliver governed data products that illuminate risk, privacy, and resilience signals for enterprise decision making. You’ll modernize third-party due diligence and automated assurance, driving faster, evidence-led outcomes. You’ll build and lead a world-class engineering team, embedding Responsible AI and governance into scalable solutions that stakeholders can trust. This role offers the opportunity to influence risk management at scale in a regulated, data-driven environment.

Pay / Benefits

• Hybrid Work Model
• Flex My Way
• Grow My Way
• Mental Health Days
• Headspace app
• retirement savings

Responsibilities

• Set the AI/data-product strategy and roadmap for Risk & Compliance
• Deliver governed data products and signal collections across the business
• Mature automation for TPRM and partnerships, reducing cycle times while maintaining quality
• Lead automated assurance initiatives (continuous, evidence-led testing)
• Build and develop a high-performing forward-engineering team
• Ensure enterprise-grade solutions with Responsible AI, governance, and data access controls

Key requirements

• 12+ years in software engineering, data, or AI/ML leadership with production-scale delivery
• Strong foundations in Python, SQL, cloud-native data platforms, data pipelines
• Experience with AI/ML tech including LLMs, RAG, NLP, agentic workflows, and production reliability
• Track record of building on shared enterprise data platforms (e.g., Snowflake) and using modern interfaces (e.g., MCP)
• Proven ability to design operating models for technical teams in a product context
• Coaching leadership style that raises the technical bar and enables peak performance
• Experience automating risk/compliance/assurance processes with technology
• Understanding of risk identification, control design, and issue lifecycle in tech solutions
• Understanding of Responsible AI practices, model governance, data access control, privacy-by-design
• Strong communication to non-technical senior audiences and stakeholder influence
• Commercial judgement with bias toward safe path to yes and accountable growth
• Ability to translate needs into products via data-driven storytelling

• coaching and mentoring
• clear communication to senior stakeholders
• data-driven decision making
• Python
• SQL
• cloud-native platforms

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