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Manager, Data Governance, AI & Data, Technology & Transformation

Job in Manchester, Greater Manchester, M9, England, UK
Listing for: HM Revenue & Customs (HMRC)
Full Time position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Take your career to the next level by joining one of the world's best and most recognized professional services firms. Within Deloitte's AI&D operating unit, we imagine, deliver and run innovative solutions to help our clients solve complex challenges and maximize the value of their data.

Your role

As a practitioner in AI&D, you are responsible for delivering Data Engineering on Cloud projects. You are encouraged to devise innovative solutions to help our clients address their biggest data challenges including developing modern analytics platforms.

We are seeking a talented and experienced Data Governance manager to join our team. In this role, you will support the delivery of Data Governance projects from conception to production. You will work closely with clients, project managers, solution architects, engineers and data scientists to ensure project goals are met on‑time, on‑budget, and to the highest standard.

In your role you will have responsibility for deliverables and client stakeholder relationships and will be delivering solutions for our clients using agile methodologies. You will often be working in multi‑disciplinary teams across a range of industries, subject matters and locations.

  • Lead the delivery of Data Governance projects especially from an architecture perspective from inception to production, ensuring all project goals are met on‑time, on‑budget, and to the highest standard.
  • Work closely with clients to understand their requirements and objectives and translate these into actionable project plans and roadmaps.
  • Collaborate with project managers, solution architects, engineers, and data scientists to ensure project tasks are being executed and delivered on time and within budget.
  • Review and provide feedback on project deliverables to ensure quality and accuracy.
  • Identify and mitigate project risks, and escalate issues as needed to ensure project success.
  • Communicate effectively with stakeholders at all levels of the organisation to ensure project progress is understood and milestones are achieved.
  • Stay up‑to‑date with the latest generative AI technologies, trends, and best practices.
Your professional experience

Candidates must have experience in Cloud‑based Data Platforms involving some or all of the following areas:

  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.
  • Experience in project management methodologies, including Agile, Scrum, and Waterfall.
  • Strong communication skills, with the ability to collaborate effectively with cross‑functional teams and stakeholders.
  • Excellent problem‑solving, critical thinking, and analytical skills.
  • Demonstrate a good understanding of Data / Information Governance principles and familiarity with processes, policies and any of the key vendor platforms.
  • Experience with Data Quality management, Master Data Management processes and Data Profiling.
  • Experience with Management Information/BI Reporting delivery processes.
  • Experience managing project delivery including waterfall and/or agile methodologies.
  • Familiarity with regulatory / statutory requirements impacting Management Information and Data change management.
  • Knowledge of process improvement, process design, and business process mapping.
  • Relevant experience in consulting or industry.
  • Analytics / Data Governance Target Operating Model (TOM) design.
  • Data Governance specific experience, for example: understanding Data Lineage, defining Data Quality Rules, risk management, metadata management and policy development.
  • Data Operations specific experience, for example implementing: improved data processes, enhanced data integration, monitoring and maintenance and automation.
  • Troubleshooting and Problem Solving:
    The troubleshooting and problem‑solving skills developed during data migration are directly applicable to resolving issues within data operations.
  • Proficiency in object‑oriented programming languages such as Python, Java, or Scala.
Location & work arrangement

You will be based in Manchester with hybrid working. Depending on the requirements of your role, you'll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. Please check with your recruiter for the specific working requirements that may apply for your role.

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