At a Glance
- Tasks: Lead data management for a major SAP transformation and improve data quality across business domains.
- Company: Billigence, a global boutique data consultancy with a focus on innovative data solutions.
- Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team committed to inclusivity and equal opportunities.
- Why this job: Make a real impact in transforming data management for leading organisations.
- Qualifications: Experience in data management, governance, and large-scale transformations, especially with SAP.
The predicted salary is between 70000 - 90000 £ per year.
Who we are: Billigence is a boutique data consultancy with global reach, helping organisations transform the way they work with data. We specialise in delivering high-impact solutions across Data Management, Data Governance, Cloud Data Platforms, AI Enablement, and Advanced Analytics. Headquartered in Sydney with offices across the UK, Europe, and APAC, Billigence partners with some of the world's leading organisations to design and implement modern data capabilities that drive better decision-making and business outcomes.
About the role: Billigence is looking for an experienced Data Management Lead to support one of the UK's largest retail transformation programmes. Working alongside senior business and technology stakeholders, you will lead the Data Management workstream across a complex SAP ECC to SAP S/4HANA transformation while supporting the migration of legacy enterprise data into a modern cloud data platform. This is a highly visible leadership role where you will act as the bridge between business, technology, governance, and delivery teams, ensuring data is trusted, governed, and ready to support the future operating model. The successful candidate will combine strong Data Management expertise with excellent stakeholder engagement skills and experience delivering enterprise-scale transformation programmes.
What you'll do:
- Lead the Data Management workstream across a large-scale SAP ECC to SAP S/4HANA transformation programme.
- Define and embed Data Management best practices across multiple business domains.
- Partner with Data Owners, Data Stewards, Programme Managers, Architects, and business leaders to improve data quality, governance, and accountability.
- Ensure programme deliverables align with enterprise Data Management standards, policies, and governance frameworks.
- Act as the strategic link between the Master Data Management (MDM) programme and wider transformation initiatives.
- Support the migration of legacy Enterprise Data Warehouse assets into a modern cloud data platform.
- Drive improvements in data quality, metadata, lineage, stewardship, and business ownership.
- Provide hands-on guidance to business stakeholders in implementing effective Data Management processes.
- Identify data risks, remediation opportunities, and governance improvements across critical business domains.
- Develop KPIs and reporting to measure Data Management maturity, adoption, and business outcomes.
- Represent the Data Management function across programme governance forums and executive stakeholder meetings.
- Collaborate closely with Engineering, Architecture, Governance, Security, Risk, and Product teams to deliver trusted enterprise data capabilities.
What you'll need:
- Extensive experience leading Data Management or Data Governance initiatives within large enterprise organisations.
- Strong knowledge of enterprise Data Management frameworks such as DAMA-DMBOK, DCAM, or similar.
- Experience delivering Data Management across large transformation programmes.
- Strong understanding of Data Governance, Master Data Management, Data Quality, Metadata Management, Lineage, and Data Stewardship.
- Experience working with SAP ECC, SAP S/4HANA migrations, or large ERP transformation programmes is highly desirable.
- Experience supporting cloud data platform or Enterprise Data Warehouse migrations is advantageous.
- Exceptional stakeholder management skills with the ability to influence senior business and technology leaders.
- Strong consulting mindset with the ability to translate business challenges into practical Data Management solutions.
- Experience working within retail or other large complex organisations is highly desirable.
- Excellent communication, facilitation, and leadership skills.
Inclusion & Equal Opportunities: Billigence is committed to creating an inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from people of all backgrounds, experiences, and perspectives and are committed to providing equal opportunities throughout the recruitment process.
Data Management Lead – SAP S/4HANA & Enterprise Data Transformation (Inside IR35) in London employer: Billigence
Billigence is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid working arrangements to support a healthy work-life balance. With a strong focus on employee growth, we provide extensive coaching, mentoring, and certification opportunities, ensuring that our Data Engineering Consultants can thrive in their careers while working on impactful projects for renowned clients across the UK and Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management Lead – SAP S/4HANA & Enterprise Data Transformation (Inside IR35) in London
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We think you need these skills to ace Data Management Lead – SAP S/4HANA & Enterprise Data Transformation (Inside IR35) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
