MarTech Lead: Data, AI & Audience Optimisation

Sainsbury's Limited

City Of London

Hybrid

GBP 90,000 - 115,000

Full time

4 days ago
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Benefits offered by this job

Colleague discount
Private healthcare
Pension scheme
Bonus up to 20%

Job summary

Sainsbury's Limited is hiring a Martech Manager - Data, Intelligence & Optimisation to shape how we use customer data to drive marketing effectiveness. Hybrid working in London and from home, cross-functional role spanning Marketing, Loyalty, Product, Engineering and Analytics.

You will lead the evolution of our customer intelligence capabilities, ensure data is trusted and activated, and champion experimentation and AI-enabled insights to improve customer experiences and business outcomes.

Qualifications

  • 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

Responsibilities

  • Lead and develop a high-performing team of Martech specialists.
  • Create an environment where people can learn, grow and do their best work.
  • Shape and evolve customer data and audience capabilities to support business objectives.
  • Collaborate with Marketing, Loyalty, Product and Tech to activate customer data.
  • Drive measurement frameworks and ensure consistent performance reporting.
  • Champion experimentation, AI-enabled insights and data-driven decisions

Skills

Stakeholder management
Influencing skills
Data-driven decision making
Analytics literacy
Strategic leadership

Job description

Sainsbury's Limited is hiring a Martech Manager - Data, Intelligence & Optimisation to shape how we use customer data to drive marketing effectiveness. Hybrid working in London and from home, cross-functional role spanning Marketing, Loyalty, Product, Engineering and Analytics.

You will lead the evolution of our customer intelligence capabilities, ensure data is trusted and activated, and champion experimentation and AI-enabled insights to improve customer experiences and business outcomes.

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