B2E Consulting
Data Governance Manager

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KZ-4468; Data Governance Consultant
Location: Hybrid - 2 days per fortnight in Cheshire
Length of Project: 3 months rolling
Start Date: ASAP
Contract Type: Outside IR35
Advertised Rate: £ comp (daily rate)
Please note our client is unable to sponsor visa applications for this opportunity
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Summary
Do you have experience of providing data governance expertise, in a large-scale data governance environment defining and implementing data standards and policies?
This consulting opportunity is to support our client, a leading pharmaceuticals organisation, in defining, implementing and aligning data governance policies, standards and frameworks. The role focuses on improving data quality, compliance and governance performance across business areas and data teams.
The project needs a consultant who has:
- proven experience in data governance roles within large-scale data environments, ideally within pharmaceuticals
- strong stakeholder engagement across business and technical teams
- experience defining and implementing data standards and policies
- understanding of data quality, data protection and governance practices.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Services
The key services that you will be asked to provide are:
- define and implement data governance principles, policies and standards
- develop and track data governance performance indicators and quality metrics
- collaborate with business areas and data teams to improve data quality and value
- act as subject matter expert for data governance across stakeholders
- align governance policies and standards across multiple data offices
- produce progress reporting and communications for senior stakeholders
- support development of data standards and policies across cross-functional teams
- contribute to evolving data governance practices including AI-enabled approaches.
Mandatory Requirements
Successful consultants will be able to demonstrate:
- experience in data governance roles delivering standards and policy implementation
- experience working within large-scale data governance teams
- experience with data quality and data protection management practices, ideally with a pharmaceuticals data focus
- ability to manage cross-departmental initiatives and competing priorities
- strong communication skills across technical and non-technical stakeholders.


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Optional Requirements
It will also be advantageous if you have:
- experience working within the pharmaceuticals industry
- familiarity with data technologies including databases, data lakes and warehousing
- domain-level understanding of data structures and provenance
- experience working with regulatory requirements and emerging data trends
- experience working in agile multi-location data teams.
ADDITIONAL NOTES
*** Data Privacy
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