Senior Product Manager - Data Platform

Caesars Sportsbook & Casino; Las Vegas (NV); On-site; USD 120,000 - 150,000; Full time

Job summary

Caesars Sportsbook & Casino is looking for a Sr. Product Manager, Data Platform to manage data capabilities across Caesars Digital. The role includes partnering with varied stakeholders to ensure data governance and accessibility, and to drive improvements in the Customer Data Platform and Single Customer View.

You will steer the product strategy, engage in AI-driven data initiatives, and continuously optimize business outcomes with your extensive experience in product management.

Qualifications

• 7+ years of Product Management experience in data platforms, analytics, or infrastructure.
• Strong understanding of event tracking and telemetry systems.
• Experience with data taxonomy and classification frameworks.

Responsibilities

• Define and own the roadmap for internal data products.
• Translate business needs into scalable data solutions.
• Embed data governance requirements into the product lifecycle.

Skills

Product Management in data platforms

Event tracking and telemetry

Strong cross-functional leadership

Data-driven decision-making

Agile mindset

Education

7+ years of experience in Product Management

Strong understanding of data pipelines and architectures

Tools

Kafka

Snowflake

BigQuery

Job description

Overview

We are seeking a Sr. Product Manager, Data Platform to own the strategy, roadmap, and delivery of data capabilities across 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.

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
• 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

Qualifications

• 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; familiarity with privacy and regulatory requirements is a bonus
• Discovering and using best in class AI/ML-driven data tools is a personal interest
• Passion for improving how organizations consume and activate data at scale
• 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

What Makes You Stand Out

• Find complex problems with numerous restraints exciting; not daunting
• Enjoy learning new skills and are passionate about new developments in technology
• Motivated to work with the best and contribute meaningfully
• Ability to build trusting relationships with peers, teams, and leaders
• Ability to lead through influence, inspiration, experience, and collaboration
• Inspires teams to come together and build best-in-class B2C products