At a Glance
- Tasks: Lead AI governance initiatives and ensure responsible use of AI technologies across the organisation.
- Company: Join Dotmatics, a pioneering digital science platform transforming scientific research.
- Benefits: Enjoy competitive salary, private medical, wellness benefits, and a supportive work environment.
- Other info: Collaborative, remote-friendly culture with excellent career growth opportunities.
- Why this job: Make a real impact in the future of science while working with cutting-edge AI technologies.
- Qualifications: 15-20 years in tech risk management, with strong AI/ML governance experience required.
The predicted salary is between 98530 - 133305 £ per year.
At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live. You’ll join a collaborative, global team pushing the boundaries of scientific innovation.
We are seeking a technically credible, collaborative Head of AI Governance to provide strategic leadership and oversight of Dotmatics' AI governance program. This role ensures the responsible, compliant, and business-aligned use of AI technologies across the organization, covering governance frameworks, risk management processes, and compliance controls that support our delivery of high-quality scientific informatics software.
In this role you will get to:
- Lead the development and ongoing improvement of a comprehensive AI Governance Framework aligned with Dotmatics' risk appetite and regulatory obligations, including the EU AI Act, ISO 42001, and NIST AI RMF.
- Maintain an AI use case registry, establish risk tiering and oversight levels for AI systems, and provide subject matter expertise to evaluate AI tools, models, and applications proposed by business and product teams.
- Partner with leadership and functional teams to assess AI use cases across model behaviour, data usage, privacy, and operational risk; ensuring alignment with the company's ISO/IEC 27001 ISMS, ISO 9001 QMS, and GxP requirements.
- Serve as program lead for the Dotmatics AI Governance Council, coordinating agendas, workflows, and decision-ready materials for Council and executive review.
- Act as the primary Dotmatics liaison to the Siemens AI Governance Consortium, representing the company in cross-portfolio working groups and contributing to joint frameworks and maturity models.
- Provide AI governance responses to customer RFIs, security questionnaires, and due diligence inquiries.
- Embed governance checkpoints into the SDLC alongside Product and Engineering; align AI controls with the broader security posture and incident response procedures.
- Lead the creation and maintenance of AI governance policies, SOPs, and supporting documentation; and develop and deliver AI governance training across the organization.
- Produce management reporting, metrics, and dashboards to keep senior leadership informed of program status, risk exposure, and control effectiveness.
- Drive continuous improvement by incorporating lessons learned, evolving standards, and regulatory developments.
We are looking for people who have a Bachelor's degree in Computer Science, Information Systems, Risk Management, Engineering, Business, or a related discipline (or equivalent experience), combined with 15-20 years in information security, technology risk management, data governance, or compliance in a regulated industry, including 5-8 years of progressive experience specifically in AI/ML governance.
The key skills we are looking for:
- Demonstrated experience designing or operating AI governance programs, model risk management frameworks, or technology risk management processes.
- Deep understanding of the AI risk landscape, including generative AI, large language models, AI agents, and associated regulatory expectations.
- Working knowledge of global AI and privacy regulatory frameworks, including the EU AI Act, GDPR, NIST AI RMF, and ISO/IEC 42001.
- Proven ability to work across and influence cross-functional stakeholder groups, including HR, Product, Engineering, Legal, Compliance, Finance, and Executive leadership, without direct line authority.
- Experience managing or contributing to governance councils, steering committees, or similar oversight bodies.
- In-depth knowledge of AI/ML technologies, including large language models, AI-enabled applications, APIs, and data pipelines, sufficient to assess technical feasibility and risk.
- Implementation-level understanding of information security principles, data privacy controls, and life science compliance frameworks (e.g., ISO 27001, NIST 800-53, ISO 9001, GxP, GDPR, CCPA).
- Strong project management discipline with a track record of building programs and processes from the ground up.
- Excellent written and verbal communication skills, including the ability to prepare executive-ready materials and governance documentation.
Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.
Head of AI Governance employer: Dotmatics
At Dotmatics, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior Lab Orchestration Solutions Architect, you will have the opportunity to work at the forefront of scientific informatics, with access to cutting-edge tools and technologies while enjoying a supportive environment that encourages professional growth and development. Our commitment to employee well-being is reflected in our comprehensive benefits package and flexible working arrangements, making Dotmatics an exceptional place to build a meaningful career.
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We think you need these skills to ace Head of AI Governance
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
