At a Glance
- Tasks: Develop and implement a federated Data Governance framework in a dynamic R&D environment.
- Company: Join a leading global pharmaceutical organisation driving innovative data governance.
- Benefits: Competitive contract rate, hybrid working, and potential for long-term engagement.
- Other info: Opportunity to work independently within a complex client environment.
- Why this job: Make a real impact on data governance in a transformative R&D project.
- Qualifications: Strong experience in Data Governance and Management, with excellent communication skills.
The predicted salary is between 60750 - 74250 £ per year.
I’m currently supporting a major consulting engagement with a global pharmaceutical organisation that is looking for an experienced Data Governance SME to join a large-scale R&D transformation.
The client is building a new federated Data Governance model across its R&D organisation, bringing together thousands of people and multiple teams that currently operate with different governance approaches, ownership models and data standards.
This is a great opportunity for someone with a strong technical Data Governance / Data Management background who can operate independently within a complex client environment.
What will you be doing?
- Help develop and implement a federated Data Governance framework across R&D
- Define and refine data governance policies, frameworks, playbooks and standards
- Work closely with local Data Governance teams to align approaches across the organisation
- Help establish consistent data ownership and governance processes
- Develop and refine governance artefacts and operating processes
- Work directly alongside the client team, engagement lead and other Data Governance specialists
- Bridge the gap between high-level governance strategy and practical data management
What are they looking for?
- Strong experience in technical Data Governance / Data Management
- Experience developing Data Governance frameworks, policies, standards and playbooks
- Comfortable working within large, complex and federated organisations
- Able to understand data governance at a technical/data level rather than purely from an industry or compliance perspective
- Strong stakeholder management and communication skills
- Experienced enough to operate independently within a client environment
- Pharma / Life Sciences experience would be highly relevant
Location: UK – client-facing / hybrid
Initial engagement through to the end of 2026, with likely extension into mid-2027. Interviews can be arranged quickly, with the client looking to identify the wider project team urgently.
Data Governance SME employer: develop
Join a dynamic consultancy that prioritises employee growth and fosters a collaborative work culture in the heart of London. With a focus on health sector transformation, we offer competitive salaries, hybrid working options, and opportunities to lead impactful projects while mentoring the next generation of consultants. Our commitment to professional development ensures that you will thrive in an environment that values innovation and strategic thinking.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance SME
✨Tap into Online Data Science Communities
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 develop before they're even advertised!
✨Show Off Your Skills With Projects
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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like develop.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like develop.
We think you need these skills to ace Data Governance SME
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at develop, 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 develop, 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 develop’s attention and show the tangible impact of your work.
How to prepare for a job interview at develop
✨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 develop.
✨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 develop.
✨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 develop.
