Lead Metadata Analyst
Sainsbury's is hiring a Lead Metadata Analyst in London, United Kingdom. Level rates it ; you can apply on Sainsbury's.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions SQL, Alation and Collibra among its tools and skills.
- Level classes it as a lead role.
- Sainsbury's has 379 other open roles on Level.
- Posted within the past week.
AI in this role
Lead Metadata Analyst driving metadata strategy, data governance, and data catalogue adoption using advanced SQL and enterprise tools.
Why join us
Joining Sainsbury's as a Lead Metadata Analyst means being part of a forward-thinking organisation that recognises the value of trusted, well-governed data. You'll work with a talented team to improve data discoverability and understanding across the business, helping colleagues make better decisions through accessible and trusted data. You'll play a key role in shaping our metadata strategy, driving innovation, and strengthening data literacy across Sainsbury's.
What you'll do
As a Lead Metadata Analyst within the Data Trust team, you will drive the adoption and continuous improvement of Sainsbury's metadata management capabilities. You will lead key activities across the Group Data Catalogue, including data source onboarding, business glossary management, data lineage, stewardship, ownership, certification and metadata standards.
Working closely with business and technology stakeholders, you will improve the visibility, understanding and governance of data assets across the organisation. You will deliver strategic initiatives that enhance metadata management practices, increase catalogue adoption, and support wider data governance objectives.
You'll also provide technical expertise in SQL and metadata technologies, champion best practice, identify opportunities for automation, and help embed a culture of trusted, well-understood data.
Who you are
You are an experienced data management professional with strong expertise in metadata management and data governance. You understand the value of business glossaries, lineage, stewardship, ownership and metadata standards in enabling organisations to trust, govern and maximise the value of their data.
You have experience working with enterprise data catalogues and can confidently engage stakeholders across both business and technology teams. Combining technical knowledge with leadership and communication skills, you drive collaboration, adoption and continuous improvement while helping shape the organisation's metadata management capabilities.
Essential Criteria
- Advanced SQL capability for querying and analysing complex datasets
- Experience working with enterprise data cataloguing tools (e.g. Alation, Collibra or similar)
- Strong understanding of metadata management disciplines, including business glossaries, lineage, stewardship, ownership and metadata standards
- Experience driving data catalogue adoption, stakeholder engagement and metadata curation initiatives
- Experience creating reporting and visualisations to measure metadata coverage, adoption and governance outcomes (e.g. Tableau, Power BI, MicroStrategy)
#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 10% 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. We also offer other benefits that will help your money go further such as season ticket loans, 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
Lead Metadata Analyst at Sainsbury's rates 0 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 metadata management was part of your work. What did you do?
- Tell me about a project where data governance was part of your work. What did you do?
- Tell me about a project where data catalog was part of your work. What did you do?
- Tell me about a project where data lineage was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Metadata Management, Data Governance, Data Catalog, Data Lineage, and SQL. 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.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new AI jobs by email
One email a week with the new AI jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Other roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step