Metadata & Data Quality Manager
Sainsbury's is hiring a Metadata & Data Quality Manager in London, United Kingdom. Level rates it ; you can apply on Sainsbury's.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include data governance, data quality and metadata management.
- Level classifies it as a lead role.
- Level lists 428 other open roles at Sainsbury's.
- The role was posted within the past week.
AI in this role
Lead the strategic vision and implementation of an enterprise-wide data quality framework and data cataloguing capability at Sainsbury's.
Why join us
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 a key technology leader, you will collaborate with senior stakeholders and drive improvements in data quality and governance across the organisation. With a focus on innovation, strategic thinking, and strong leadership, this role provides a platform for you to make a significant impact by shaping data management processes and capabilities that will drive success in our ever-evolving multi-channel, multi-brand business.
What you'll do
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.
Who you are
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. Your ability to envision the bigger picture and engage with senior stakeholders up to Operating Board level demonstrates your effective communication skills and confidence in driving organisational change. With a deep understanding of engineering, architecture, and data delivery principles, as well as expertise in data quality methodologies and data cataloguing capabilities, you play a pivotal role in shaping and implementing a robust data quality framework and driving the successful adoption of data governance practises across the organisation.
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.
#DataAndAnalytics
#Governance
#LI-CM1
At Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you’ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI. We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to £10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply)."How we rate this
Metadata & Data Quality Manager at Sainsbury's rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data quality was part of your work. What did you do?
- Tell me about a project where metadata management was part of your work. What did you do?
- Tell me about a project where leadership was part of your work. What did you do?
- Tell me about a project where data strategy was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Governance, Data Quality, Metadata Management, Leadership, and Data Strategy. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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