Senior Data Product Manager

Senior Data Product ManagerReporting to: Head of Product & Delivery Base Location: PutneyAbout the role:Nando's is on a journey of Changing Lives Together, creating lasting happiness for our people,our customers, and the communities we work in. Originally started in Johannesburg, SouthAfrica, we pride ourselves on creating memorable experiences for everyone involved in Nando's:from our employees, communities, founders, and suppliers, but most importantly, ourcustomers.As a Senior Data Product Manager at Nando's, you will work across our data and AI capabilities,demonstrating deep expertise and acting as the recognised authority for your area. You'll helpdrive the data and AI product strategy, influence senior stakeholders, and deliver significantbusiness impact — turning complex data capabilities into trusted, governed assets that empowerour restaurants, support teams and leaders to make better decisions every day. Alongside this,you'll contribute to the growth of our product management capability across the function.This role sits at the intersection of technology, insight and strategy. You will partner closely withengineering, data engineering, analytics, and AI engineers to define what we build, why we buildit, and how we measure success — translating complex technical possibilities into clear businessvalue.Key Responsibilities & Expectations:Data Strategy & Vision● Help shape and contribute to the data and AI product strategy, aligned with businessobjectives● Support the prioritisation of complex and competing opportunities across analytics, AI,and governance● Support the integration of roadmaps across data engineering, analytics, and AI teams toensure strategic alignment● Demonstrate deep expertise in data products and knowledge across related platformsand domains● Anticipate shifts in the data and AI landscape and bring emerging capabilities and trendsinto strategic conversations● Collaborate with and influence stakeholders to drive positive outcomes from datainvestmentAdvanced Product Execution● Working with our business stakeholders to understand the outcomes they are trying toachieve and working with them to solve through these through data and technologyproducts● Play a leading role in complex data product launches involving multiple teams,dependencies, and business change● Demonstrate strong understanding of data platform architecture — pipelines, datamodels, warehousing, serving layers — and translate technical concepts for businessstakeholders● Partner closely with Tech Leads, who owns backlog management, sprint planning anddelivery — bringing the what and why while the Tech Lead owns the how and when● Create an experimentation culture across your data product area● Contribute to continuous improvement in data product ways of working across the datadomainSenior Stakeholder Partnership● Partner with stakeholders to align on strategic data initiatives● Influence senior stakeholder priorities through compelling co-created business cases● Drive alignment and decision-making across stakeholder forums to support work onpriorities, trade-offs and sequencing● Build strong relationships across the organisation to drive adoption of data products andself-serve analytics● Collaborate with other Product Managers in the Enterprise space to ensure datacapabilities support their roadmaps without duplicating ownershipCustomer & Data User Focus● Act as the recognised authority for data products within the team, building strongworking relationships with peers, stakeholders and tech leadership● Run research and discovery to understand the needs of internal data users (e.g.restaurant managers, finance analysts, HR business partners) and surface unmet needs● Identify data quality and access problems across the domain that impact end users orbusiness operations● Work collaboratively to develop practical solutions to complex data challenges● Contribute to improving team ways of working to support delivery velocity and qualityData & Analytics● Contribute to the roadmap for self-serve analytics and BI tooling, helping teams acrossNando's access trusted data without engineering dependency● Create and share knowledge of data product analytics that helps the team andstakeholders make more informed decisions● Work to help define and track measurement frameworks and data quality standards thatbuild trust in data across the business● Promote data accessibility — helping to make insight usable and relevant for Nandocasat every levelAI & Machine Learning Products● Define and drive the product requirements for features that deliver measurable value —from demand forecasting and labour optimisation to intelligent automation● Work closely with engineers to understand and contribute to evaluation frameworks,helping ensure models perform safely and reliably in production● Translate AI capabilities into clear product requirements, user stories and acceptancecriteria that engineering teams can act on● Stay close to the AI landscape and bring relevant ideas and opportunities to the team,grounded in Nando's strategic prioritiesData Governance & Quality● Define and shape the product thinking around data governance — ownership, lineage,cataloguing, access controls and quality standards● Work with the Risk team, Data Platform team and other key stakeholders to ensure datapractices meet regulatory requirements (GDPR and beyond) without slowing downinnovation● Define and track data quality standards that make it easy for teams to trust and rely ondata● Champion a data-as-a-product mindset, treating internal datasets as first-class productswith clear owners and measurable outcomesProduct Community● Contribute to product management initiatives and share learnings from the data domainwith the wider PM community● Continuously develop your data product management skills — including data literacy,experimentation and AI product thinking● Support the development of other Product Managers where relevant● Engage with and contribute to evolving ways of working and best practices across theproduct functionKey Skills & Competencies● Data product thinking and strategy contribution● Stakeholder management and communication● Growing domain expertise in data, analytics and AI — including an understanding of SQL,data modelling concepts and pipeline architecture● Problem identification and analytical thinking across data domains● Business impact analysis, ROI measurement and data SLA definition● Understanding of AI/ML product development and model evaluation● Championing data governance, quality and compliance awareness across the team andwider business● Collaborative working with data engineering and analytics teams● Supporting the development of others● Contributing to and supporting complex launches● Creating experimentation and data-driven culture● Requirements gathering and process mapping — understanding how existing workflowsand steps can inform the development of AI agents and automationExperience Required● 5+ years of product management experience, with a clear passion for data and/oranalytics● Proven track record of contributing to and delivering data products that drove businessimpact● Demonstrated success delivering products where data plays a central role — whetherthat's data-heavy products that use, collect and surface data, or products that relied ondata-informed decisions throughout● Data literacy — an understanding of SQL and comfortable working alongside dataengineers and analysts● Experience contributing to data governance frameworks or data quality standards● Experience supporting or mentoring other product managers● Experience managing stakeholders and communicating effectively across teams● Evidence of driving data-driven decision making across teams● Experience working in agile environments at scale● Domain expertise in retail, hospitality or consumer technology is valuable● Familiarity with modern data stack tooling (e.g. Snowflake, dbt, Looker, Airflow, orequivalents) is desirable