iXceed Solutions
AI Governance Lead
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Role - AI Governance Lead
Location
- Macclesfield/Luton, UK (Hybrid)
Type
- Contract (Inside IR35)
Job Description:
Role Overview:
As the AI Governance Lead, you will design, implement, and oversee enterprise-wide AI Governance framework. You will serve as the core bridge between engineering, data science, legal, compliance, and business units. Your mission is to ensure that all Artificial Intelligence (AI) and Machine Learning (ML) systems—including Generative AI—are developed and deployed responsibly, ethically, and in strict compliance with global regulations and internal risk thresholds.
Key Responsibilities
1. Framework Development & Strategy
- Define and execute the company’s Responsible AI Strategy and governance roadmap.
- Establish comprehensive policies, standards, and playbooks for AI ethics, transparency, fairness, data privacy, and accountability.
- Operationalize compliance with emerging global regulations (e.g., EU AI Act, NIST AI Risk Management Framework, FTC guidelines, and local data privacy laws).
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
2. Risk Management & Compliance
- Implement systematic processes for identifying, assessing, and mitigating risks associated with AI/ML models (e.g., algorithmic bias, hallucination, data lineage issues, and intellectual property risks).
- Lead AI Impact Assessments and model risk evaluations prior to deployment.
- Define and monitor Key Performance Indicators (KPIs) and metrics for AI model health, fairness, and safety.
3. Cross-Functional Collaboration & Advisory
- Act as the subject matter expert (SME) on AI risk for the executive leadership team, Legal, InfoSec, and Data Privacy offices.
- Partner with Data Science and Engineering teams to integrate compliance and "privacy-by-design" principles into the MLOps pipeline.
- Chair or co-lead the internal AI Governance Committee to review high-risk AI use cases.
4. Training, Culture & Evangelism
- Foster an organizational culture of responsible innovation through training programs on AI ethics and governance best practices.
- Maintain an enterprise-wide inventory of all AI/ML models and their respective risk profiles.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Required Qualifications
Education:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Risk Management, or a related field.
Experience:
- 12+ years of experience in data governance, risk management, compliance, or data science, with at least 6 years specifically focused on AI/ML governance or ethics.
Regulatory Expertise:
- Deep understanding of global data privacy and AI regulations (EU AI Act, GDPR, NIST framework).
Technical Literacy:
- Strong understanding of the AI/ML lifecycle (data preparation, training, deployment, MLOps) and the specific risks associated with Large Language Models (LLMs) and Generative AI.
Communication:
- Exceptional communication and stakeholder management skills, with a proven ability to translate complex technical concepts for legal/business teams and vice versa.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location