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Data Governance Consultant

Bristol
£75k – £80k/yr
Posted about 21 hours ago
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Data Governance Consultant

Permanent

Location: Home / Bristol (Hybrid)
Salary: £75,000 - £80,000 (+ benefits)

Skills

  • SC Clearance
  • Data Governance
  • Data Quality
  • Metadata Management
  • Data Lineage
  • Data Stewardship

We are looking to recruit an SC Cleared Data Governance Consultant for a leading technology consultancy.

You will work with clients to establish and improve practical data governance frameworks, covering areas such as data quality, metadata, lineage, stewardship, policy, and standards. The role will also involve supporting the responsible governance and assurance of AI solutions, although the core requirement is strong data governance experience.

This is a client-facing consulting role, working across multidisciplinary data, architecture, engineering, and security teams.

Due to the nature of the work, valid SC Clearance is required.

What you'll be doing

  • Delivering data governance frameworks, policies, standards, and operating models.
  • Defining stewardship models, governance roles, RACI structures, and decision-making forums.
  • Establishing data quality rules, measures, scorecards, and remediation processes.
  • Supporting metadata management, business glossaries, data catalogues, and lineage.
  • Helping clients classify and protect sensitive data and improve auditability.
  • Running stakeholder workshops to understand requirements and translate them into practical governance solutions.
  • Producing governance documentation, operating procedures, risk assessments, and assurance reports.
  • Supporting AI governance and assurance, including data provenance, bias, privacy, model evaluation, and ongoing monitoring.
  • Working alongside data architects, engineers, security specialists, and other consultants.
  • Supporting and coaching more junior members of the team.

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.

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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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It searches the market for you

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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.

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Strong

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.

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Strong

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.

What we're looking for

You should have strong practical experience delivering data governance or data management initiatives, ideally within a consulting, public sector, or regulated environment.

Experience should include several of the following:

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  • Data governance frameworks and operating models.
  • Data quality management and remediation.
  • Data stewardship and ownership models.
  • Metadata management and data cataloguing.
  • Data lineage.
  • Business glossaries.
  • Data classification and sensitivity.
  • Data privacy, retention, and access controls.
  • Governance policies, standards, and procedures.
  • Stakeholder workshops and client-facing consulting.

Some understanding of AI governance or AI assurance would be beneficial, particularly around training data quality, provenance, bias, model evaluation, monitoring, and risk management. Deep hands-on machine learning experience is not required.

Exposure to tools such as Microsoft Purview, Collibra, Alation, Databricks, Microsoft Fabric, Azure ML, or Power BI governance would also be useful.

Experience within Defence, Central Government, hydrography, sonar, geospatial/mapping, or offshore industries such as oil & gas would be particularly relevant.

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Skills

SC Clearance
Data Governance
Data Quality
Metadata Management
Data Lineage
Data Stewardship
AI Governance
Stakeholder Management
Data Classification
Data Privacy
Operating Models
RACI Structures

Location

Bristol, England, United Kingdom

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