At a Glance
- Tasks: Lead the establishment of a robust data governance framework and oversee its operational handover.
- Company: Join a forward-thinking organisation focused on data and AI governance.
- Benefits: Competitive daily rate, flexible working arrangements, and a chance to shape governance practices.
- Other info: Dynamic role with a focus on practical outcomes and collaboration across teams.
- Why this job: Make a significant impact by enabling safe data practices and supporting innovative AI solutions.
- Qualifications: Experience in data governance and familiarity with Microsoft Purview is essential.
The predicted salary is between 70000 - 90000 £ per year.
The Data & AI Governance Lead (Contract) is responsible for establishing the foundational data governance capability and handing over a fully operational governance function to a permanent Data Governance Manager at the end of the contract.
Inside IR35 - start 22nd of June 2026. Rate is based on level of experience but as a guide a comfortable range is £800 to £1200 per day.
Key Responsibilities:
- Establish minimum viable Data & AI Governance Framework (aligned to DMBOK-DAMA principles)
- Establish formal Data Ownership & Stewardship frameworks
- Establish & Run the Data & AI Governance Forum
- Identify Data Domains & Critical Data
- Evaluate and activate Microsoft Purview (E5) for M365 data
- Support governance readiness for M365 Copilot
- Define governance KPIs and deliver structured handover
This is a time‑boxed, outcome‑focused role, accountable for standing up the working governance components required to support:
- Clear data ownership and stewardship accountability
- Effective governance collaboration and decision‑making
- Activation of Microsoft Purview (E5) as a governance enabler
- A safe and governed rollout of M365 Copilot
Scope & Operating Context:
- Operates as a hands‑on governance lead, not a delivery team
- Works across data & AI, security, M365, and business domains
- Focused on enablement and guardrails for federated ownership, not central control
Success is measured by what is live, adopted, and ready to scale by month 6.
Skills & Experience:
Essential:- Demonstrable experience establishing data governance in large organisations
- Practical experience with Microsoft Purview (or equivalent)
- Strong understanding of data ownership, stewardship, and federated models
- Experience working across M365, security, and business teams
- Strong stakeholder engagement across technical and business teams
- Experience supporting M365 Copilot or AI enablement
- Experience working in federated or domain‑led data models
- Background in regulated or infrastructure‑heavy environments
Contractor Profile & Approach:
- Pragmatic, delivery‑focused, and outcome‑driven
- Comfortable operating with incomplete information
- Avoids over‑engineering or “perfect” frameworks
- Leaves behind working capability, not just documentation
What Success Looks Like at Contract End:
- M Group has a credible, functioning data governance foundation
- Microsoft Purview is actively supporting visibility and control
- M365 Copilot can be deployed with confidence in data safety
- The organisation is set up to scale governance sustainably
Data & AI Governance Lead - Purview/M365 employer: Morgan Philips Group
As a leading employer in the data governance sector, we offer a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through our hands-on approach, providing opportunities to lead impactful projects while working with cutting-edge technologies like Microsoft Purview and M365. Located in a vibrant area, we promote a culture of inclusivity and support, ensuring that every team member can thrive and contribute to meaningful outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Governance Lead - Purview/M365
✨Tap into Online Data Science Communities
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We think you need these skills to ace Data & AI Governance Lead - Purview/M365
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Morgan Philips Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Morgan Philips Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Morgan Philips Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Morgan Philips Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Morgan Philips Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Morgan Philips Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Morgan Philips Group.
