Sr Product Manager II, Data Product Management

Overview The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN’s portfolio of digital products. The team sits at the intersection of analytics and business teams who depend on trusted data, and engineering teams who build the systems that produce it. Responsibilities Own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end‑to‑end delivery across web, mobile, and connected TV. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs — events, parameters, identifiers, schemas — that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards — the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands‑on: implementation, maintenance, and optimisation to support reliable, self‑service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering — with a track record of owning outcomes, not just executing tasks. Deep hands‑on experience designing event‑based data models and instrumentation schemas across web, mobile, and connected TV — including event taxonomies, parameter design, identifier strategies, and implementable data contracts. Ability to translate ambiguous business questions into precise instrumentation specifications — closing the gap between what stakeholders need to know and what engineers build. SQL fluency and hands‑on experience in cloud data platforms (Snowflake, Databricks, BigQuery, or equivalent) to validate data quality, investigate anomalies, and own your analysis. Experience configuring and operating enterprise analytics platforms at scale — owning implementation, validation, and maintenance, not just strategy. Proven ability to orchestrate cross‑functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners. A bias for action and an ownership mindset: you solve problems end‑to‑end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership. Use AI‑enabled tools as a genuine force multiplier — this is how you work, not a skill you’re developing. Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non‑technical stakeholders, and the ability to influence across engineering, product and analytics. Preferred Qualifications Experience with sports, media, or direct‑to‑consumer digital products at scale. Hands‑on experience implementing solutions from Adobe’s Customer Experience (CX) Analytics suite — Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform — at enterprise scale. Expert understanding of media industry measurement solutions (Nielsen, Comscore) and how they’re implemented and integrated within a major media organization. Familiarity with event‑driven architectures or streaming data infrastructure and their connection to downstream analytics. Experience enabling self‑service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions. Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design. Required Education Bachelor’s degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. Compensation & Benefits The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. #J-18808-Ljbffr