Data & AI Product Manager

This is a fully remote position, open to applicants in Connecticut, +3 more states.

📋 Description

• Take ownership of the product direction, roadmap, backlog, and lifecycle for On Location Base data products.

• Supervise the development of reusable Snowflake data products, which encompass dimensional models, curated data sets, semantic definitions, data interfaces, and governed self-service assets.

• Collaborate with analytics and business teams to refine BI reporting and AI-driven capabilities.

• Provide guidance to stakeholders across product, pricing strategy, marketing, finance, sales, operations, guest/customer experience, and event leadership.

• Transform unmet needs into actionable opportunities, defining users, decisions, actions, value hypotheses, success metrics, dependencies, and criteria for reassessment.

• Manage a multi-horizon portfolio, making trade-offs related to value, urgency, risk, reuse, delivery confidence, capacity, and displaced work.

• Translate product intent into Jira epics, stories, acceptance criteria, data contracts, measures, and decision records.

• Collaborate with data engineering, analytics engineering, data science, platform, governance, security, and external delivery teams from the discovery phase through to production.

• Monitor dependencies, milestones, risks, decisions, blockers, stakeholder commitments, launch readiness, adoption, and post-launch ownership.

• Facilitate reporting and decision-making across On Location events and programs while establishing reusable patterns across TKO.

• Enhance adoption, documentation, trust, reliability, latency, support signals, and outcome measures for the products under your purview.

⛳️ Requirements

• A minimum of 3 years of experience in data product management, technical product management, analytics product management, data engineering, data science, analytics engineering, or a closely related area.

• A strong technical foundation in data engineering, software engineering, data science, analytics engineering, or data analysis.

• Ability to credibly reason about related technical disciplines.

• Experience in translating business challenges into data models, analytical products, platform capabilities, integrations, APIs, pipelines, or AI-enabled workflows.

• Proficient in SQL and modern data concepts, including dimensional modeling, data quality, identity resolution, semantic layers, event instrumentation, warehouse/lakehouse architecture, APIs, and data lifecycle management.

• Proven ownership of products or complex initiatives from discovery through delivery, launch, adoption, and ongoing operation.

• Strong execution and operational discipline.

• Excellent written and verbal communication skills.

• Experience in balancing multiple concurrent priorities in dynamic environments with tight deadlines and cross-functional dependencies.

• Preferred: career trajectory starting in engineering, data science, data analysis, analytics engineering, or another technical field before moving into product management.

• Preferred: familiarity with Snowflake, Omni or another semantic/BI platform, Salesforce, Marketing Cloud or similar activation systems, Amplitude/GA4, Census or comparable 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 other time-sensitive, customer-facing industries.

• Preferred: knowledge of 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.

• A genuine passion for entertainment, sports, live events, and TKO brands.

🏝️ Benefits

• Competitive base salary along with applicable short- and long-term incentives.

• Opportunities for growth and professional development.

• Comprehensive health care plans.

• Retirement benefits.

• Vacation and other paid time off.

• Additional offerings.