· Own and deliver data products across our Data Platform, email marketing platforms, and enterprise CDP, ensuring they support audience growth, segmentation, lifecycle journeys, and measurable activation outcomes.
· Develop and maintain product roadmaps and stakeholder communications, ensuring clients and partners are informed of progress, changes, and alignment with broader company goals.
· Partner with Data Engineers, Architects, Analysts, and Marketing stakeholders to maintain and enhance the pipelines, integrations, and data models that move campaign, identity, consent, engagement, and customer data between source systems, the data platform, and downstream marketing tools.
· Define data quality standards, governance controls, and operating processes for identity resolution, consent and suppression logic, audience refresh rules, campaign attribution, and fan 360 use cases so marketing teams can activate with confidence.
· Support measurement and experimentation by enabling clean audience definitions, test and control design, and performance reporting that improve targeting, personalization, retention, and lifecycle marketing effectiveness.
· Establish scalable audience management practices, including segmentation logic, audience entry and exit criteria, refresh rules, and alignment across CRM, CDP, and activation platforms.
· Translate high-level business goals into detailed user stories with clear acceptance criteria, workflows, and diagrams where necessary.
· Ensure product roadmaps, backlogs, and delivery plans are aligned with the TKO Data & AI Strategy, including adherence to front door intake and governance policies.
· Conduct market research to identify trends, opportunities, and areas for product innovation.
· Maintain and evolve the data catalogue for your products, ensuring metadata, lineage, and definitions are accurate, accessible, and up to date.
· Explore and assess opportunities to embed AI and emerging technologies into data products, bringing forward innovative use cases and solutions that create measurable business impact.
· Utilise strong technical acumen to dive deeply into data such as running SQL queries, providing basic data modelling, and understanding data technology and architecture to effectively collaborate with engineering teams.
· Use data and metrics to track product portfolio performance, including KPIs, ROI, and value delivery, to inform prioritisation and investment decisions.
· Manage project budgets and resources, ensuring alignment with financial objectives.
· Take part in Agile ceremonies such as sprint planning, backlog refinement, and stand-ups, ensuring close collaboration with Data Engineers, Data Analysts, Data Scientists, and other cross-functional team members.
· Continuously improve Agile processes within the team and foster a collaborative environment that embraces feedback and adaptation.
· Act as the main point of contact between clients and the development team, gathering feedback and incorporating it into the product development process.
· Deliver product updates and roadmap presentations to both internal and external stakeholders, soliciting input for future improvements.
· Set stakeholder expectations, proactively addressing any risks or issues to ensure smooth and timely product releases.
· Maintain detailed product documentation, including user guides, business rules, data models, and release notes.
· Perform data validation and quality checks, ensuring accuracy and consistency, and assist stakeholders in UAT when required.