Data & AI Governance Manager (Weymouth based)

Data & AI Governance Manager (Weymouth based)

Weymouth Full-Time 60000 - 75000 € / year (est.) No home office possible
New Look

At a Glance

  • Tasks: Lead the development of Data & AI governance frameworks and ensure ethical use of AI tools.
  • Company: Join a leading fashion retailer committed to data-driven innovation.
  • Benefits: Enjoy 40% staff discount, private medical scheme, and extra leave on your birthday.
  • Other info: Collaborative culture with opportunities for professional growth and innovation.
  • Why this job: Shape the future of data governance in a dynamic retail environment.
  • Qualifications: Strong understanding of data governance and hands-on experience with cloud-based tools.

The predicted salary is between 60000 - 75000 € per year.

The Data & AI Governance Manager will develop the Data & AI governance framework, defining and drafting the required policies and their implementation through communication and monitoring, including the approach to governing the use of AI tools across the organisation. They will be responsible for the approach to metadata and data cataloguing, defining the tools to be used both over the Enterprise Data Platform and across Enterprise applications, and the working practices to ensure maintenance and development of these catalogues. In addition, they will be responsible for identifying data owners, and establishing data quality management practices.

This is a strategic role that will operate across the Enterprise ensuring we treat data as an asset and leverage AI in a controlled manner to accelerate and enhance business performance.

WHAT YOU’LL BE DOING:

  • Develop, implement, and continuously refine New Look’s Data & AI Governance Framework, ensuring alignment with business strategy, regulatory obligations, and ethical AI principles.
  • Define and maintain data governance policies, standards, and procedures across the Enterprise Data Platform (Databricks, Amperity, Power BI, SAP Business Objects) and the wider application landscape.
  • Establish and lead the Data Ownership model, identifying data owners and stewards across business domains and providing guidance on roles and responsibilities.
  • Define and oversee the Metadata Management and Data Catalogue strategy, selecting and operationalising tooling to manage lineage, glossary, and classification across both the EDP and enterprise systems.
  • Develop and implement Data Quality Management practices, including measurement frameworks, issue resolution workflows, and business adoption of data quality KPIs.
  • Develop and implement AI Governance framework, defining principles, approval processes, and monitoring mechanisms to ensure ethical and transparent deployment of AI tools.
  • Partner with Legal, Risk, and Information Security to ensure compliance with GDPR, Data Protection Act, and future AI regulation.
  • Support Enterprise Architecture and Application Owners in embedding data governance controls in the design, development and change release processes.
  • Promote Data and AI governance across the organisation through training, communication, and embedding governance into day-to-day business operations.
  • Lead data governance forums, reporting on progress, risks, and adoption to the Data & AI Steering Committee.

Accountability: Act as the guardian of our data — ensuring it is securely managed, high quality, and protected as we scale our use of AI to drive business performance.

Leadership: Champion a culture where data governance, quality, transparency, and responsible AI are business imperatives understood across the Enterprise.

Collaboration: Partner across business, technology, and legal teams to embed governance as a shared responsibility that supports collective success.

Pragmatism: Balance rigour with agility — designing governance frameworks that enable value creation with Data & AI, proportionate to real-world risk.

Innovation: Continuously explore new tools and approaches for data cataloguing, quality management, and AI governance — evaluating new innovations and adapting policy accordingly.

Strategic: Shape the governance for a scaling Data & AI capability — aligning with New Look’s ambition to be a leading, data-driven fashion retailer.

WHO YOU ARE:

  • Strong understanding of data governance principles, frameworks, and tools.
  • Hands-on experience with metadata management, data cataloguing, and data lineage tools in a cloud-based environment (preferably Azure / Databricks).
  • Knowledge of AI governance and ethics frameworks.
  • Experience defining data ownership models, data quality controls, and data stewardship processes across complex organisations.
  • Working knowledge of privacy and regulatory compliance frameworks.
  • Understanding of enterprise data architectures, particularly modern lakehouse models and integration of CDPs (e.g., Amperity) and BI tools (Power BI, InfoRiver, SAP BO).
  • Demonstrated experience establishing governance operating models and driving adoption through training, communication, and stakeholder engagement.
  • Comfortable working with both technical and non-technical audiences, translating governance into tangible business outcomes.
  • Desirable: familiarity with data quality tooling, AI model monitoring, and MLOps governance.
  • Desirable: experience managing a team and prior experience of Retail.
  • A degree in IT or related business topic (desirable).

WHATS IN IT FOR YOU:

  • 40% staff discount plus friends & family discounts throughout the year.
  • Access to our reward platform for external discount and offers.
  • Private pension scheme.
  • Profit related bonus scheme.
  • Option to join our Healthcare Private Medical Scheme.
  • Virtual GP access for you and your children – it allows you to speak to a doctor at a time and date that suits you.
  • All employees are covered by our life assurance policy from day one.
  • Unlock extra leave with our buy more holiday scheme.
  • Celebrate YOU! Enjoy an extra paid day off on your birthday each year.
  • Enhanced maternity, paternity and adoption leave, and shared parental leave (eligible after 2 years service).
  • Spread the cost of your commute with interest-free season ticket loans.
  • Do your bit for the environment and save money with our Cycle2Work scheme.
  • We're proud to partner with the Retail Trust and Fashion & Textile Children's Trust.

Data & AI Governance Manager (Weymouth based) employer: New Look

At New Look, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions innovation and collaboration. As a Data & AI Governance Manager based in Weymouth, you'll enjoy a range of benefits including a generous staff discount, private medical scheme, and opportunities for professional growth within a leading data-driven fashion retailer. Our commitment to employee well-being is reflected in our enhanced leave policies and support for work-life balance, making New Look a rewarding place to advance your career while contributing to meaningful projects.

New Look

Contact Detail:

New Look Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & AI Governance Manager (Weymouth based)

Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their approach to data governance and AI, and think about how your skills align with their needs. This will help you stand out as a candidate who truly gets them.

Tip Number 3

Practice your pitch! Be ready to explain your experience with data governance and AI tools clearly and confidently. Use examples that showcase your problem-solving skills and how you've driven success in previous roles.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Data & AI Governance Manager (Weymouth based)

Data Governance Principles
Metadata Management
Data Cataloguing
Data Lineage Tools
AI Governance and Ethics Frameworks
Data Ownership Models
Data Quality Controls

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data governance and AI tools. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant achievements!

Showcase Your Strategic Thinking:This role is all about strategy, so be sure to include examples of how you've developed or implemented governance frameworks in the past. We love seeing candidates who can think big and act pragmatically!

Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.

Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at New Look

Know Your Governance Frameworks

Make sure you brush up on data governance principles and frameworks before the interview. Be ready to discuss how you've implemented these in past roles, especially in relation to AI tools and data quality management.

Showcase Your Technical Skills

Familiarise yourself with the specific tools mentioned in the job description, like Databricks and Power BI. Prepare examples of how you've used these tools for metadata management or data cataloguing in a cloud-based environment.

Demonstrate Strategic Thinking

Think about how you can align data governance with business strategy. Be prepared to share your thoughts on how to treat data as an asset and leverage AI responsibly to enhance business performance.

Engage with Stakeholders

Highlight your experience in collaborating with both technical and non-technical teams. Discuss how you've successfully communicated governance policies and trained stakeholders to ensure everyone understands their roles in data stewardship.