Senior Director - Data Platform

The Senior Director, Data Platform will provide unified leadership to modernize, integrate, and optimize our foundational enterprise data platform. This platform is mission-critical for enabling AI innovation, advanced analytics, and trusted self-service data access  this role, you will own the platform vision as both a product owner and a technical leader, partnering with Product, Finance, and GTM to turn B2B financial and product usage/adoption data into trusted, decision-ready assets.

• Own and champion the technical vision and roadmap for the enterprise data platform.
• Align platform priorities with company goals, particularly AI enablement, analytics modernization, and data-driven decision-making.
• Operationalize a data mesh / domain-oriented model with a unified governance and operating model across the data stack.
• Provide technical guidance on architecture, data quality, reliability, and SLAs; manage vendors and optimize licensing and infrastructure spend.
• Define and certify core B2B financial metrics (ARR, bookings, billings, revenue recognition, renewals, churn, expansion, NRR) with consistent definitions across Finance, Product, and Sales.
• Drive product usage and adoption data (activations, active users, consumption, feature adoption, health scoring) and connect it to financial outcomes such as renewal risk, upsell, and overages.
• Build, lead, and mentor a squad-based data team of data engineers, analysts, analytics engineers, and product partners, with clear ownership, goals/OKRs, and roadmaps.
• Manage managers and ICs: hiring, coaching, performance management, and career development.
• Cultivate a collaborative, high-accountability culture and strong cross-functional partnerships with Product, Security, Data Governance, Finance, and Business Units.

• Proven experience running squad-based data teams and leading people leaders, with a record of delivering predictably across competing stakeholders.
• Deep familiarity with B2B financials and usage/adoption data, including metric standardization and data products.
• Strong technical foundation in modern data platforms (e.g., Snowflake, dbt, Airflow, Tableau, Salesforce Data Cloud) and the ability to guide engineering decisions.
• Experience enabling AI/ML and advanced analytics through large-scale data platform modernization.
• Strong background in platform operations, unified governance, and SLA management.
• Exceptional communication skills with the ability to influence executive leadership and technical audiences.
• Demonstrated success in change management within a complex, matrixed organization.