Head of Data & AI Governance

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**** About the Business
**** Quilter plc is a leading wealth management business, helping to enable brighter financial futures for every generation.
Quilter oversees £126.3 billion in customer investments (as of August 2025). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments:
Affluent and High Net Worth.
Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business.
High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning – offering a highly personalised service to private clients, charities, trustees, and professional partners. Quilter Cheviot has presence throughout the UK, Ireland and Channel Islands.
At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve, including our colleagues.
Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it’s the perfect time to join us!#
**** About the Role
****** Level**:
Level 6
** Department:
** COO
* * Location**:
London/ Southampton
** Contract type**:
Permanent The new role sits within COO and reports directly to the Chief Data Officer (CDO).  The key accountabilities for the role are as follows:
* ** Governance Framework Development** – Design and implement and enterprise-wide data and AI governance frameworks including policies, standards and controls.  Define roles, responsibilities, and accountability for data and AI governance across business units.
* ** Compliance & Risk Management** - Ensure adherence to data protection laws (e.g. GDPR, AI Act), AI regulations, and ethical guidelines.  Monitor and mitigate risks related to data quality, privacy, bias, and algorithmic transparency.
* ** Data Quality & Stewardship** - Establish data quality metrics and controls to maintain accuracy, completeness, and consistency.  Oversee data stewardship programs and ensure proper metadata management.
* ** AI Governance** - Develop guidelines for responsible AI use, including fairness, explainability, and auditability. Implement processes for AI model validation, monitoring, and lifecycle management.
* ** Stakeholder Engagement** - Establish highly effective and collaborative relationships with key stakeholders and business partners across Quilter to embed governance practices and act as a trusted advisor on data ethics and AI governance for senior leadership.
* ** Education & Culture** - Promote a culture of data responsibility and ethical AI through training and awareness programs. Stay ahead of emerging regulations and industry best practices.
* ** People** – Lead, engage, motive and develop all employees within the roles remit to maximise their full potential.  This also means ensuring high levels of engagement, professionalism and contribution to the business and ensuring that policies and procedures are followed in an appropriate and consistent manner.
** Consumer Duty
** Whilst this isn’t a directly customer facing role, the duties you will perform will contribute to the overall positive outcomes for our customers by ensuring that the customer is at the heart of the Data Science and AI strategy, roadmap and plans created.#
**** About You
****** Qualifications
* ** Degree in an analytical discipline (e.g. statistics, computer science, maths) or evidence of equivalent practical experience
* Professional certifications (e.g., CDMP, CIPP/E, AI Ethics certifications) preferred.
** Knowledge
* ** Deep understanding of data governance frameworks (e.g. DAMA-DMBOK) and AI ethics principles.
* Strong understanding of data management concepts (e.g. data lineage, data…