Martech Manager (Data, Intelligence & Optimisation) - Open Cross-Brand Role
Sainsbury's is hiring a Martech Manager (Data, Intelligence & Optimisation) - Open Cross-Brand Role 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.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Customer Data Platform, martech and customer segmentation among its tools and skills.
- Sainsbury's has 445 other open roles on Level.
- Posted within the past week.
AI in this role
Manage customer data, intelligence, and optimization initiatives across marketing and technology teams to drive business growth.
Open Cross-Brand Role - Martech Manager - Data, Intelligence & Optimisation – Hybrid Working – London and Home
At Sainsbury's, we're passionate about understanding our customers and using that understanding to create better experiences, make better decisions and deliver better outcomes. As Martech Manager - Data, Intelligence & Optimisation, you'll play a key role in helping us do exactly that.
Working across Marketing, Loyalty, Product, Engineering, Retail Media, Analytics and Data teams, you'll help unlock the value of our customer data and turn insight into action. You'll lead the evolution of our customer intelligence capabilities, helping colleagues better understand customer behaviour, improve marketing effectiveness and identify new opportunities to create value for both customers and the business.
This role isn't about owning data platforms or reporting dashboards. It's about helping the organisation make smarter decisions, fostering a culture of experimentation and continuous improvement, and ensuring we get the maximum value from the data, technology and capabilities available to us.
You'll be at your best in this role if you're curious, customer-focused and enjoy bringing together people, insight and technology to solve complex challenges.
What I need to do
Customer Data & Audience Strategy
- Help shape and evolve our customer data and audience capabilities to support business objectives and customer needs.
- Work with teams across Marketing, Loyalty, Retail Media, Product and Technology to improve how customer data is understood, governed and activated.
- Support the ongoing development of our Customer Data Platform (CDP) and audience management capabilities.
Customer Identity
- Help create a more connected understanding of our customers across channels and touchpoints.
- Work with Data, Product and Technology teams to ensure customer information is trustworthy, accessible and usable.
Data Enrichment & Customer Understanding
- Identify opportunities to improve customer understanding through internal and external data sources.
- Help teams develop richer audience insights and stronger segmentation approaches.
Measurement & Performance Insight
- Work with stakeholders to establish clear measurement frameworks and success metrics across Martech initiatives.
- Support consistent performance reporting and insight generation across the organisation.
Attribution & Marketing Effectiveness
- Improve our ability to understand how marketing activity contributes to customer and business outcomes.
- Work closely with Analytics, Media, Retail Media and Marketing teams to improve decision making and investment effectiveness.
Experimentation & Optimisation
- Champion a culture of testing, learning and continuous improvement.
- Help teams design and measure experiments that improve customer experiences and business performance.
AI Enablement & Innovation
- Identify opportunities to leverage AI and emerging technologies across customer intelligence, audience management, optimisation and decision making.
Customer Intelligence
- Ensure data and insight are accessible, understandable and actionable.
- Improve the organisation's ability to understand customer behaviour, performance drivers and future opportunities.
Team Leadership
- Lead and develop a high-performing team of Martech specialists.
- Create an environment where people can learn, grow and do their best work.
Success measures
Success in this role will be reflected through:
- Improved customer data quality and trust.
- Increased audience scalability and utilisation.
- Greater adoption of customer intelligence capabilities.
- Improved measurement consistency and maturity.
- Stronger marketing effectiveness and optimisation outcomes.
- Increased experimentation and learning across teams.
- Practical adoption of AI-enabled capabilities.
- Clear business value generated through data and insight.
- Strong stakeholder confidence in decision making.
- Improved understanding of customer behaviour and performance drivers.
What I need to show
- A genuine curiosity about customers and what drives their behaviour.
- The ability to balance analytical thinking with commercial understanding.
- Strong stakeholder management and influencing skills.
- Confidence translating complex information into clear and actionable insight.
- A passion for continuous improvement and learning.
- The ability to bring people together around data, evidence and opportunity.
- Strategic thinking combined with a pragmatic approach to delivery.
- Comfort working through ambiguity and bringing clarity to complex challenges.
- Strong communication skills and the ability to tell compelling stories through data and insight.
What I need to know
- Customer Data Platforms and audience management approaches.
- Customer identity and data governance principles.
- Analytics, measurement and performance frameworks.
- Attribution and marketing effectiveness methodologies.
- Experimentation and optimisation techniques.
- AI and emerging customer intelligence capabilities.
- Data-driven decision making in complex organisations.
- Product, engineering and agile delivery environments.
Essential Criteria
- Strong stakeholder management and influencing skills.
- Experience of data-driven decision making in complex organisations.
- Experience of customer data platforms and audience management approaches.
- Knowledge of analytics, measurement and performance frameworks.
- Team management and leadership experience
#marketing
#LI-CM1
We’d all like amazing work to do, and real work-life balance. That’s waiting for you at Sainsbury’s. We’re one of the biggest supermarkets in the UK, with one of the largest retail websites. So marketing here happens at scale. We move faster than you might expect too, across Brand Planning, Brand Comms and Creative, Digital Marketing, CRM and Loyalty, Nectar 360 and Insights. With more people shopping with us every week, there are more interactions, more moments to connect. And thanks to data and insight, we understand our customers in a way few others can. We work alongside incredible brand partners and some of the best agencies in the industry. So if you’re passionate about learning, growing and experiencing new teams, come and explore it all with us.
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
Martech Manager (Data, Intelligence & Optimisation) - Open Cross-Brand Role 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 martech was part of your work. What did you do?
- Tell me about a project where customer segmentation was part of your work. What did you do?
- Tell me about a project where attribution modeling 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?
- Walk me through how you've used Customer Data Platform in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Martech, Customer Segmentation, Attribution Modeling, Data Governance, and Customer Data Platform. 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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