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About the Role

As Director, Risk and Compliance Engineering & Assurance, you will set the technical strategy, own the AI strategy, foundations, and engineering roadmap for Risk & Compliance, and deliver governed risk, compliance, privacy and resilience data products. You will also mature automation and AI capabilities for third-party due diligence, automate assurance processes like controls testing, build and develop a world-class forward-engineering function, and ensure all solutions are enterprise-grade and aligned with Responsible AI and data governance standards.

Responsibilities

Set the technical strategy, AI strategy, foundations, and engineering roadmap for Risk & Compliance.
Deliver, publish, and continuously improve governed risk, compliance, privacy and resilience data products.
Mature automation and AI capabilities for third-party due diligence and partnerships.
Lead the use of technology and AI to mature automated Assurance work, particularly controls testing.
Build and develop the existing team into a world-class forward-engineering function.
Ensure all solutions are enterprise-grade and aligned with Responsible AI, data governance, access control, and fiduciary-grade standards.

Requirements

Engineering and AI leader who builds teams and ships at scale.
Led technical teams that deliver production-grade software, data, and AI.
Ability to set direction in ambiguity and translate complex business problems into scalable, well-governed solutions.
Comfortable making architecture and build-versus-buy decisions, coaching teams, shaping roadmaps, and holding delivery accountable.
Proven engineering leadership, strong AI and data foundations, and the judgment to embed sound risk and control principles.
Lead with a bias to enable, finding the safe, fast path to yes.
Substantial experience leading software engineering, data, or AI/ML teams (typically 12+ years), with several in a leadership capacity, delivering production-grade solutions at enterprise scale.
Strong hands-on foundations in modern data and AI engineering (e.g., Python, SQL, cloud-native platforms, data pipelines).
Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production.
Track record of building on shared enterprise data platforms (e.g., Snowflake) and delivering through modern interfaces.
Proven ability to build, grow, and retain high-performing teams, defining roles, skills, and competencies.
Experience designing the operating model of a technical team, its ways of working, delivery cadence, quality standards, and tooling.
A coaching leadership style that raises the technical bar while creating a positive team environment.
Experience automating risk, compliance, or assurance processes with technology and AI.
Understanding of how to embed risk identification, control design, and issue lifecycle management into technology solutions.
Understanding of Responsible AI practices, model governance, data access control, and privacy-by-design.
Ability to determine and implement how AI subscribes to sensitive signals and to assure the reliability of AI-generated insight.
Strong communication skills and ability to explain technical and AI concepts to non-technical senior audiences.
Experience partnering with senior business and technology stakeholders to translate needs into products.
Commercial judgement and a bias to enable.
Set and own the Risk & Compliance AI and data-product strategy and roadmap.
Lead the forward-engineering central team and its hiring, and capability development.
Establish the rent-not-build partnership with the Data & Analytics organisation.
Deliver priority data products and automation.
Own the data-product operating disciplines, product management, semantic and taxonomy ownership, and AI access and insight assurance.
Measure and report success by decision-influence and accountability outcomes.

Skills

AI strategy
AI foundations
Engineering roadmap
AI adoption and scaling
Automation
Agentic workflows
Risk data products
Compliance data products
Privacy data products
Resilience data products
Third-party due diligence
Partnerships due diligence
Automated Assurance
Controls testing
Team building
People development
Responsible AI
Data governance
Access control
Python
SQL
Cloud-native platforms
Data pipelines
LLMs
Retrieval Augmented Generation (RAG)
Natural Language Processing (NLP)
Predictive analytics
Enterprise data platforms
Snowflake
Operating model design
Product operating model
Risk automation
Compliance automation
Assurance automation
Model governance
Privacy-by-design
AI insight assurance
Communication skills
Business partnering
Stakeholder management
Commercial judgement
Data visualization

Location

Remote
Hybrid

Work Type

Hybrid Work Model
Work from anywhere for up to 8 weeks per year

Experience Level

12+ years of relevant experience
Several years in a leadership capacity

Benefits

Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually

About the Company

Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
Join us and help shape the industries that move society forward.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.
To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.