Senior Director - Data Platform

Salesforce•Seattle, WA

About The Position

The Senior Director, Data Platform will provide unified leadership to modernize, integrate, and optimize Salesforce’s foundational enterprise data platform. The platform enables AI innovation, advanced analytics, and trusted self-service data access at scale. The role owns the platform vision as both a product owner and technical leader, partnering with Product, Finance, and GTM to turn B2B financial and product usage and adoption data into trusted, decision-ready assets. The role includes owning the enterprise data platform’s technical vision and roadmap; aligning priorities with company goals; operationalizing a domain-oriented data mesh with unified governance; and providing technical guidance on architecture, quality, reliability, and SLAs. The Senior Director will define and certify core B2B financial metrics, connect product usage and adoption data to financial outcomes, and build and lead a squad-based data organization. They will manage managers and individual contributors, and foster strong cross-functional partnerships and a collaborative, high-accountability culture.

Requirements

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 and 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 and ability to influence executive leadership and technical audiences.
Demonstrated success in change management within a complex, matrixed organization.

Responsibilities

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 or 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, including ARR, bookings, billings, revenue recognition, renewals, churn, expansion, and NRR, with consistent definitions across Finance, Product, and Sales.
Drive product usage and adoption data, including activations, active users, consumption, feature adoption, and 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 individual contributors, including 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.