Product Manager

The Product Manager (Marketing) role sits within the Data Services department responsible for data applications across the company’s divisions globally from Big Data, Data Warehousing, Business Intelligence, Analytics and Data Science. We work in cross-functional squads composed of Data Engineers, Data Analysts, Data Scientists, and other supporting roles such as Dev Ops, Security and Architecture.

As a Product Manager within TKO Data & AI Services department, you will be responsible for managing the entire product lifecycle, from high-level strategy to hands-on execution. You’ll define the product vision, conduct market research, and craft long-term roadmaps while also getting deeply involved in the day-to-day work—creating detailed user stories, prioritizing the backlog, and collaborating with the development team in Agile ceremonies.

This role demands a balance between strategic thinking and detailed execution, making you a key driver of the product’s success.

This Product Manager role focuses on fan and marketing data products spanning TKO's email marketing platforms and Customer Data Platform (CDP), enabling fan analytics, segmentation, audience activation, personalization, lifecycle marketing, and campaign measurement.

A key focus of the role is translating marketing use cases into trusted data products and activation capabilities, with strong emphasis on governance, identity resolution, consent handling, and reliable data movement across the marketing technology ecosystem.

Responsibilities

• 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…