As a member of the Data & AI Strategy Team you’ll be part of the future of AI consulting. We look for individuals who align with our core values, are creative problem solvers, and have a genuine interest in AI and emerging technologies. You’ll be passionate about helping organisations unlock the potential of AI not just through technical delivery, but by driving strategic change.
Below some of the key skills and experiences we look for in candidates. We don't expect you to hit every point- we want to build a team which has diverse backgrounds, perspectives and strengths.
Key Skills
AI Risk Management & Assurance - Demonstrable experience assessing, managing and assuring risks associated with AI systems, including model performance, transparency, explainability, accountability, privacy, security and regulatory compliance
AI Governance & Lifecycle Management - Experience embedding governance, risk management and assurance activities across the end-to-end AI lifecycle, from use case selection and design through deployment, monitoring, change management and retirement
Risk & Control Assessments - Proven ability to conduct AI risk assessments, impact assessments, control evaluations and assurance reviews, particularly within regulated or high-risk environments
Stakeholder Management & Communication - Ability to translate complex technical and regulatory concepts into practical, risk-based recommendations and communicate effectively with technical, operational and executive stakeholders
AI Monitoring & Observability - Strong knowledge of AI monitoring, observability, performance validation, drift detection, incident management and post-deployment assurance practices, including relevant tooling and best practice
Desirable Experience
Working across diverse industries, including public sector (e.g. Central Government and Defence) and private industries such (e.g. Manufacturing, Automotive, Life Sciences, Consumer Products & Retail and Financial Services)
Influencing cross-functional teams and balancing innovation objectives with risk management requirements
Assessing and managing risks associated with AI systems, including model development and performance, data, transparency, explain-ability, accountability, privacy, security, and regulatory risks
Designing, implementing, and operating first-line risk management, conducting AI risk assessments, impact assessments, control evaluations, or assurance reviews during development, deployment and monitoring of AI solutions
Supporting AI initiatives within highly regulated industries or complex risk environments where governance and compliance requirements are critical
Personal Attributes
A passionate advocate for the safe, responsible, and scalable adoption of AI, with a proactive approach to identifying and mitigating risks throughout the AI lifecycle. Pragmatic and balanced in evaluating opportunities and challenges, with strong communication skills that enable effective engagement with both technical and non-technical stakeholders. Curious, adaptable, and committed to continuous learning, while remaining calm and effective in complex or high-pressure environments.
