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Tech Stack
Tools & technologiesCloudETLSQL
About the role
Key responsibilities & impact- Own product direction, roadmap, backlog, and lifecycle for On Location Base data products
- Oversee development of reusable Snowflake data products, including dimensional models, curated data sets, semantic definitions, data interfaces, and governed self-service assets
- Partner with analytics and business teams to shape BI reporting and AI-enabled capabilities
- Advise stakeholders across product, pricing strategy, marketing, finance, sales, operations, guest/customer experience, and event leadership
- Shape unmet needs into opportunities with defined users, decisions, actions, value hypotheses, success measures, dependencies, and stop/reconsider criteria
- Manage a multi-horizon portfolio and make tradeoffs across value, urgency, risk, reuse, delivery confidence, capacity, and displaced work
- Convert product intent into Jira epics, stories, acceptance criteria, data contracts, measures, and decision records
- Partner with data engineering, analytics engineering, data science, platform, governance, security, and external delivery teams from discovery through production
- Track dependencies, milestones, risks, decisions, blockers, stakeholder commitments, launch readiness, adoption, and post-launch ownership
- Enable reporting and decision-making across On Location events and programs while building reusable patterns across TKO
- Improve adoption, documentation, trust, reliability, latency, support signals, and outcome measures for owned products
Requirements
What you’ll need- 3+ years of experience in data product management, technical product management, analytics product management, data engineering, data science, analytics engineering, or a closely related field
- Strong technical foundation in data engineering, software engineering, data science, analytics engineering, or data analysis
- Ability to reason credibly about related technical disciplines
- Experience translating business problems into data models, analytical products, platform capabilities, integrations, APIs, pipelines, or AI-enabled workflows
- Working fluency with SQL and modern data concepts including dimensional modeling, data quality, identity resolution, semantic layers, event instrumentation, warehouse/lakehouse architecture, APIs, and data lifecycle management
- Demonstrated ownership of products or complex initiatives from discovery through delivery, launch, adoption, and ongoing operation
- Strong execution and operating discipline
- Excellent written and verbal communication
- Experience balancing multiple concurrent priorities in changing environments with hard deadlines and cross-functional dependencies
- Preferred: career path beginning in engineering, data science, data analysis, analytics engineering, or another technical discipline before transitioning into product management
- Preferred: experience with Snowflake, Omni or another semantic/BI platform, Salesforce, Marketing Cloud or comparable activation systems, Amplitude/GA4, Census or similar reverse-ETL tools, and/or modern AI platforms
- Preferred: experience with customer 360, event or behavioral data, audience activation, attribution, lead scoring, marketing analytics, commissions, or commercial reporting
- Preferred: experience delivering products for live events, entertainment, sports, travel, hospitality, e-commerce, or another time-sensitive, customer-facing industry
- Preferred: experience with governance, privacy, security, PII, data-sharing agreements, model risk, or responsible AI requirements
- Preferred: familiarity with Jira, agile delivery practices, product discovery, experimentation, and portfolio or product-operations cadences
- Genuine enthusiasm for entertainment, sports, live events, and TKO brands
Benefits
Comp & perks- Base rate along with, as applicable, short- and long-term incentives
- Growth and developmental opportunities
- Health care
- Retirement
- Vacation and other paid time off
- Additional offerings