Padmi
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Caesars Entertainment

casino resorts · hotel hospitality

Senior Product Manager - Data Platform

New York · HybridPosted 3 months ago
Product And Program ManagementUnspecified
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Opens the source posting on edmn.fa.us2.oraclecloud.com

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Define and own the roadmap for internal data products, including data governance frameworks, data categorization and taxonomy, and CDP and Single Customer View capabilities Translate business needs into scalable data solutions across Product, Marketing, Fraud, Finance, and Operations while partnering with Data Architecture to align product priorities with long-term platform strategy Ability to embed data governance requirements into the product development lifecycle: Standardized event tracking and instrumentation, schema design, versioning, and documentation, and PII classification and consent alignment Establish and communicate clear data ownership and accountability across teams Partner with engineering teams to ensure all new features meet data quality, compliance, and observability standards while driving consistency in event tracking across mobile, web, and backend systems Standardize and improve data categorization across Kafka, Snowflake, BigQuery, and downstream systems Collaborate with Data Engineering to ensure datasets are clearly defined and documented, easily discoverable via catalogs, and mapped to business use cases Reduce duplication and fragmentation across data sources Own product requirements for Customer Data Platform and Single Customer View development, including: Identity resolution and profile stitching, behavioral, transactional, and profile unification, segmentation and activation capabilities Enable real-time and batch use cases such as: Personalization and recommendations, player lifecycle management, alerts and triggers across product and marketing systems Lead and inspire the adoption of CDP capabilities across the organization Lead the development of AI-powered data tools that simplify access to insights: Natural language querying, automated insights and reporting, and intelligent alerting and anomaly detection Partner with BI, Data Science, and Engineering to prioritize high-impact AI use cases Be a conduit between technical data teams and business stakeholders Ensure data products are intuitive, accessible, and widely adopted Develop training, documentation, and change management programs to support team members across Caesars Digital Continuously prioritize based on measurable business outcomes

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