Description
Joining Sainsbury's as the Metadata & Data Quality Manager offers a unique opportunity to lead the strategic vision and implementation of an effective data quality framework and Data Cataloguing capability, contributing to our Next Level Strategy.
As the Metadata & Data Quality Manager at Sainsbury's, you will be responsible for defining and establishing an enterprise-wide data management strategy that supports the Next Level Strategy, focusing on data quality improvements, controls, and the curation of Group Data Catalogue content.
Leading a team of Metadata and Data Quality analysts, you will work with key stakeholders to create a culture of good quality, validated data across the organisation, while developing and coaching the team to support the strategic vision for implementing an effective data quality framework and Data Cataloguing capability.
Your role will involve driving data quality improvements, managing the overall value creation and transformation programme of the Group Data Catalogue, and ensuring that key strategic choices about governance, quality, and cataloguing are well-known and agreed upon by key stakeholders and leadership teams.
As a Metadata & Data Quality Manager at Sainsbury's, you are an accomplished leader with a strong strategic mindset and a proven track record in delivering enterprise-wide data management strategies.
Essential Criteria:
- Proven experience defining and delivering an enterprise-wide data management strategy, including ownership of data quality improvement and governance.
- Demonstrable experience leading the implementation, rollout and adoption of a Data Catalogue capability (e.g. Alation, Collibra or similar).
- Strong understanding of metadata management, data stewardship, data ownership, data quality frameworks and data governance principles.
- Experience leading, coaching and developing high-performing teams within a data, analytics or governance function.
- Ability to influence and challenge senior business and technology stakeholders, including Director and Head-level audiences.
- Strong knowledge of engineering, architecture and data management principles, including data warehouses, data platforms and data lifecycle management.
- Experience establishing data quality controls, triage processes, prioritisation frameworks and remediation plans supported by KPIs and business impact measures.
- Experience creating reporting and visualisations using tools such as Power BI, Tableau, MicroStrategy or similar platforms.
Benefits:
- Colleague discount: 10% on shopping online and instore at Sainsbury's, Argos, TU and Habitat
- Pensions scheme and life cover
- Performance-related bonus of up to 20% of salary
- Annual holiday allowance
- Private healthcare
- Season ticket loans
- Interest-free car loan of up to £10k
- Cycle to work scheme
- Health cash plans
- Salary advance
- Access to a great range of discounts from hundreds of other retailers
- Employee Assistance Programme
- Up to 26 weeks' pay for maternity or adoption leave
- Up to 4 weeks' pay for paternity leave