Manager - Data Products

About the Role
The Data Products Manager will serve as the critical bridge between Omnichannel's business and analytics needs and the central Data team. They will translate business needs into actionable requirements, ensuring the seamless development and implementation of data-driven features, metrics, and systems for Omnichannel. Their ability to understand analytics requirements, work with complex data structures, and collaborate across Omnichannel and central Data will help scale and optimize the data ecosystem and enhance reporting capabilities, while ensuring what gets defined for Omnichannel is properly documented, governed, and delivered on time.

What You’ll Be Doing

• Collaborate with the Omnichannel Data Analytics team to understand their needs for new metrics, features, and functionality.
• Translate analytical requirements and customer-related KPIs such as Customer Lifetime Value (CLV), Churn Rate, Conversion Rates, Average Order Value (AOV), and Customer Acquisition Cost (CAC) into clear requirements for the central Data team.
• Partner with business stakeholders to define key metrics related to customer behaviour, segmentation, and personalization strategies in retail.
• Ensure data systems and analytics tools support retail KPIs, including sales performance, inventory turnover, and omnichannel engagement metrics.
• Own and maintain the Omni data product roadmap, ensuring priorities align to business strategy, customer outcomes, and available Data capacity.
• Define clear acceptance criteria with Analytics/business stakeholders and ensure delivered data products are validated against the original requirements before being considered complete.
• Ensure data products and customer analytics requirements comply with relevant privacy, consent, and data governance policies.

Catalog & Glossary Stewardship

• Act as the Data Steward reference point for Omnichannel customer KPIs; ensure every metric defined is documented in the Data Catalog Glossary.
• Work with the accountable Data Owner and Stewards to resolve conflicting definitions before a metric is built.
• Link delivered dashboards, Explores, and reports to their corresponding Glossary entries as Related Assets and apply or request Gold status where appropriate.
• Keep Glossary entries and asset links current as Omnichannel's reporting evolves.

Prioritization

• Own first-line prioritization of Omnichannel's data and analytics requests, weighing competing stakeholder asks against Omnichannel's own goals.
• Submit prioritized requests into the central Data backlog for build or engineering work.
• Work with central Data Product Managers and the Delivery & Prioritisation Lead to review, re-rank, and sequence Omnichannel's requests.

Cross-Functional Collaboration

• Act as the primary liaison between the Omnichannel Data Analytics team and the central Data team.
• Represent Omnichannel's priorities in central backlog reviews and planning, and communicate central Data's constraints back to Omnichannel stakeholders.

Project Management

• Track the progress of Omnichannel's requests through the central backlog, ensuring timely delivery.
• Monitor progress, resolve roadblocks, and communicate updates to Omnichannel stakeholders.

Documentation & Communication

• Document business requirements, user stories, and Glossary content clearly for central Data to build against.
• Communicate complex concepts to both technical and non-technical stakeholders effectively.

Core Knowledge & Experience

• Strong understanding of analytics concepts (e.g., metrics, KPIs, business logic) and how they translate into technical systems.
• Ability to translate business requirements into clear, buildable requirements for the central Data team.
• Familiarity with the Data Catalog, Glossary, and the Data Owner / Steward governance model.
• Timeline-sensitive: able to follow up through a shared backlog and ensure delivery.
• Familiarity with data pipelines and databases (SQL and Python knowledge is a plus).
• Experience with tools like Looker, Power BI, or similar visualization platforms.
• Exceptional organizational skills, with the ability to manage multiple priorities.
• Strong communication skills, able to bridge the gap between technical and business teams.
• Proven experience in product management or a similar role, preferably in data analytics, retail analytics, or data infrastructure.
• Understanding of agile methodologies, such as sprints and user stories.
• Familiarity with customer-related retail KPIs, including Customer Retention, Basket Analysis, Revenue per Customer.

What We Can Offer You
With us, you will turn your aspirations into reality. We will help shape your journey through enriching experiences, learning and development opportunities, and exposure to different assignments within your role or through internal mobility. Our Group offers diverse career paths for those who are extraordinary, every day.
We recognise the value that you bring and strive to provide a competitive benefits package including:

• Health care
• Child education contribution
• Remote and flexible working policies
• Exclusive employee discounts

Using GenAI in Your Application Process
To support a fair and consistent experience for all candidates, we ask that assessments and interviews are completed independently and without assistance from generative AI tools.

We Invite All Applicants to Apply
It Takes Diversity Of Thought, Culture, Background, Differing Abilities and Perspectives to truly Inspire, Exhilarate and Delight our customers. We are committed to inclusion and diversity. We welcome all applicants to apply and ensure equal opportunity for all our applicants without regard to gender, age, race, religion, national origin, or disability status.