At a Glance
- Tasks: Lead the establishment of enterprise data governance and architecture for impactful decision-making.
- Company: Join a forward-thinking organisation focused on data-driven innovation.
- Benefits: Competitive contract rate, flexible working arrangements, and opportunities for professional growth.
- Other info: Opportunity to recruit and onboard permanent leadership roles while ensuring a smooth handover.
- Why this job: Shape the future of enterprise data and drive real change in a dynamic environment.
- Qualifications: Proven experience in enterprise data governance and architecture in complex organisations.
Engagement Type: Fixed-term contract, Outside IR35
Reports To: Chief Technology Officer
About the Role
The business has built strong foundations for enterprise data: the function structure, a growing canonical data model, and a live platform estate. This engagement turns that design work into operating reality, establishing enterprise data as a core, permanently owned capability underpinning AI, analytics, billing, reporting and decision-making.
With the architecture lead who shaped the foundation moving on, this is the moment to launch the governance structure, build out existing design patterns, and hand the result to permanent leadership. The engagement is time bound, with handover planned backwards from a fixed end date.
Key Responsibilities
- A scalable, governed function: Establish accountable ownership of data with real authority. Make the operating model scalable enough to absorb new domains, systems and acquisitions. Leave the function able to evidence control on demand.
- Governance: Design and launch the governance framework: ownership, stewardship, lineage, quality standards and enforcing controls. Build the evidence base so the function can demonstrate control rather than assert it. Tie data quality to commercial outcomes such as billing accuracy and revenue assurance. Prove adoption in priority areas with named, bought in owners and delivered training.
- Architecture: Extend the canonical data model to remaining priority domains. Deepen mastering and target-state definitions where gaps remain. Ensure the architecture scales through continued M&A integration. Capture the outgoing architecture lead's knowledge before departure. Provide senior direction on build-out work, transitioning it to the incoming permanent lead. Produce a prioritised roadmap sequenced by business benefit.
- Platform FinOps: Establish the FinOps model for in-life platform decisions, managing cost against value. For the core analytics platform, deliver this jointly with the team who own and operate it.
- Working with the Data Analytics team: Consult throughout the engagement via the Technical Design Authority's existing gates. Ensure governance and architecture support, rather than obstruct, the team as primary platform users.
- Investment case: Cost and justify the build-out and permanent run cost, including the permanent operating model and run team, so the case funds the destination, not just the build.
- Recruitment and handover: Define and run recruitment for two permanent leadership roles, including onboarding. Structure handover so permanent leadership can operate independently by the end of the engagement. Deliver documented architecture and governance, a live evidence base, and a written statement of what is complete versus what must be maintained.
Deliverables
- A scalable, governed enterprise data function established as a permanent capability.
- A prioritised roadmap to fortify existing structures.
- A live governance framework with a demonstrable evidence base.
- Extended canonical model and operationalised definitions.
- A platform FinOps model.
- A defined working model with the Data Analytics team.
- A costed investment case.
- Two permanent leadership roles recruited and onboarded.
- A structured handover within the fixed term.
Out of Scope
Function design, foundational architecture and platform selection, all already in place. Ongoing operation of the function and standing board representation, which sit with permanent leadership once appointed.
Candidate Profile
Proven track record designing and launching enterprise data governance frameworks in a large, complex organisation. Strong enterprise data architecture background, ideally including canonical or mastering data models and lakehouse or medallion architectures. Experience building investment cases and securing funding for permanent data capabilities. Comfortable working through an existing design authority and governance structure. Experience defining and hiring into permanent leadership roles, with a clear focus on structured, time-bound handover. Strong stakeholder management skills at CTO level. Background in regulated, billing-sensitive or M&A-active environments is an advantage.
Head of Governance & Architecture in Shoreham-by-Sea employer: Tenth Revolution Group
Join a leading AI Analytics team in London, where innovation meets opportunity. As a Remote Senior Data Engineer, you'll thrive in a dynamic work culture that prioritises collaboration and growth, backed by a multinational equity firm poised for year-on-year expansion. Enjoy access to cutting-edge technology, professional development opportunities, and the chance to make a significant impact in the rapidly evolving AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Governance & Architecture in Shoreham-by-Sea
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Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Tenth Revolution Group before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Head of Governance & Architecture in Shoreham-by-Sea
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Tenth Revolution 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 Tenth Revolution 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 Tenth Revolution Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Tenth Revolution 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 Tenth Revolution 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 Tenth Revolution 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 Tenth Revolution Group.
