Senior Product Manager - Data Platform

Caesars Entertainment•Jersey City, NJ

About The Position

We are seeking a Sr. Product Manager, Data Platform to own the strategy, roadmap, and delivery of data capabilities across the Caesars Digital. This role partners closely with Data Architecture, Engineering, Product, Analytics, and Business Stakeholders to ensure data is well-governed, discoverable, high-quality, and actionable. You will play a central role in building our Customer Data Platform (CDP) and Single Customer View (SCV) while driving improvements in data taxonomy, governance, and AI-powered accessibility.

Requirements

7+ years of Product Management experience in data platforms, analytics, or infrastructure
Strong understanding of event tracking and telemetry systems, data pipelines and architectures (streaming + batch), and data warehousing/lakehouse environments
Experience with data taxonomy and classification frameworks, schema design, versioning, and governance processes, and data quality and observability concepts
Experience with Customer Data & Personalization or customer data ecosystems with an understanding of identity resolution and segmentation, as well as personalization and lifecycle marketing.
Strong cross-functional leadership across Engineering, Data, and Business teams
Ability to translate complex technical concepts into clear product requirements
Data-driven decision-making with a focus on measurable impact
Agile mindset with a bias toward rapid iteration and continuous improvement

Nice To Haves

Bonus if you have familiarity with privacy and regulatory requirements
Discovering and using best in class AI/ML-driven data tools is a personal interest of yours
Passion for improving how organizations consume and activate data at scale
Find complex problems with numerous restraints exciting; and not daunting
Enjoy learning new skills and are passionate about new developments in technology
You are highly motivated individual, who wants to work with the best and be the best
Ability to build trusting relationships with peers, teams, and leaders
Ability to lead through influence, inspiration, experience, and collaboration
You inspire teams to come together and build best in class B2C products

Responsibilities

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