Responsibilities

• Data Platform Architecture & Data Modeling
• - Own the ongoing evolution of enterprise-scale data infrastructure (e.g., AWS Redshift, dbt), ensuring scalability, performance, and reliability.
• - Set standards for data pipeline development, testing, and documentation across the team.
• - Partner with engineering to ensure architecture decisions align with downstream activation, reporting, and analytics needs.
• Strategy & Insight
• - Connect the dots between data, technology, and commercial value, translating technical capability into strategies that drive client growth.
• - Derive clear, actionable insights from complex, cross-channel data to inform client strategy and roadmap priorities.
• - Distill complex analysis into recommendations that balance business impact with delivery feasibility.
• - Partner with clients and internal teams to shape data-driven growth strategies, not just technical solutions.
• Client Leadership & Consulting Delivery

Requirements

• Proven experience (5+ years) owning enterprise-scale data infrastructure (e.g., AWS Redshift, dbt) and data modeling for real-time activation use cases.
• Demonstrated ability to manage a senior executive client relationship independently, including roadmap conversations, KPI definition, and QBRs.
• Experience leading a sizeable cross-functional team across multiple offices and time zones.
• Experience with structured consulting or project delivery within data governance and CI/CD constraints.
• Strong SQL skills and experience with data modeling and cloud data warehouses.
• Strong ability to connect data and technology decisions to commercial outcomes, translating complex analysis into insights that shape client strategy.

Preferred

• Experience in sports, media, entertainment, or consumer-focused industries.
• Familiarity with Adobe platforms (e.g., AEP, CJA, AJO, Adobe Analytics, Adobe Target) or comparable BI tools (e.g., Tableau).
• Experience with experimentation frameworks, attribution, and advanced analytics techniques.