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Finance Data Governance Manager

  • Location England
  • Job type Permanent
  • Reference BBBH123993
  • Salary Up to £50000.00 per annum + + Bonus and Benefits
  • Specialisation ERP
  • Posted October 08, 2021

Finance Master Data Governance (MDG)
£50,000 - Remote
SAP information Steward
SAP Information Services

We're supporting and improving the lives of millions of people every day and we can only do this with the right people in place, working towards a shared goal. We encourage an open, honest working environment where everyone can be true to themselves and people are valued for their differences.
Our Finance Function provides clear and transparent financial insight to stakeholders across the business, to enable them to make effective decisions.
Role Details
The Finance MDG Quality manager will have the overall responsibility to implement and manage a Data Quality capability/service with associated process, standards, principles and tools to ensure clean and well understood data is available to the Finance Division and data consumers.
More specifically the role will be responsible for:

  • Build and maintain data quality dashboards using SAP Information Steward and Microsoft Power BI
  • Leverage Information Steward cleansing package builder capability where appropriate
  • Use SAP data services to support ETL activity, and enhance our data quality reporting and analysis capability
  • Responsible for, reporting current data quality position and issues to the relevant stakeholders
  • Responsible for, and establishing, the required processes, audit schedule and reporting to be followed in improving, maintaining and monitoring data quality
  • Support the development of Finance Master Data quality standards to continuously improve the company's data
  • Be able to design and deliver metrics/KPIs to identify and report improvements in quality and delivery against objectives
  • Assess data quality as part of data migration activities
  • Responsible for profiling our current data set looking for data improvement opportunities
  • Support the MDG leads and managers with triaging data issues and amending rules and scorecards as needed
  • Assess data maturity and implement the right ways of working to enable best practice data quality management
  • Provide regular auditing and insights to the data centre of excellence to support process continuous improvement
  • Identify and implement the appropriate toolsets and applications to meet the team's needs
  • Have experience of Data modelling, data profiling and data discovery to add new capability to the quality process

Knowledge, Qualifications, Skills and Experience


  • SAP Information Services
  • SAP information Steward
  • Bachelor's degree in Information Systems, Computer Science or a relevant field
  • Detailed previous experience of SAP Information Steward (preferred) and Master Data Governance, or Informatica, IBM Infosphere or other data quality software
  • Proven experience of using SAP Data Services
  • Experience in Integrating business process requirements with the technical implementation of SAP Master Data Governance.
  • SAP ERP knowledge (SAP modules FI, CO, SD, MM, etc.)
  • Excellent knowledge and use of data quality toolsets, methodologies and process
  • Previous implementation of enterprise Data Quality toolsets and processes
  • The ability to influence stakeholders through great communication and relationship development skills - Get them to own data quality issues and support resolution
  • The ability to bring a group of people together, facilitate workshops, identify and drive through clear ownership and action
  • Pro-active, self-starter attitude
  • Fluent English both spoken and written


  • SAP MDG Module Experience
  • Finance Master data experience (Business Partner, Customer, Supplier, Materials, GL Account, Profit & Cost Centre)
  • Offshore Management

Key Stakeholders

  • Divisional Finance Directors and teams
  • Group Finance Directors and teams
  • Global Delivery Centres
  • Global Finance Process Owners
  • Data Managers
  • Data Analysts