About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Chief Data Officer's (CDO) organization (Data Solutions) is at the epicenter of Salesforce's data-driven transformation to build the agentic enterprise and enable effective decision making for the enterprise. We are seeking a world-class data modeling practice leader to build and manage the data models that power our business. The Senior Director, Data Modeling is a senior, hands-on leadership role responsible for building and managing the enterprise data modeling practice. This leader and their team are the company's central experts on how to effectively implement data models that span our complex, hybrid-cloud ecosystem. This role's primary focus is on the practical design, implementation, and optimization of data models that run on our established enterprise data platforms. Your mission is to lead the practice of applied data modeling, maximizing the value and performance of our existing data ecosystem. You will be responsible for designing and governing the optimal data models that span our complex environment, including Salesforce Data360 (formerly Data Cloud), Snowflake, Amazon data lakes, multiple Salesforce orgs, Informatica MDM, graph databases, and vector databases. Your primary stakeholders are the Data Science, Automation, and Application teams within Data Solutions and the larger Digital Enterprise Technology organization. You will partner directly with them to understand their requirements and lead your team to build the performant, scalable, and secure data models they need to succeed. You must be an expert in the benefits and trade-offs of every modeling choice, from logical design to physical implementation, across our entire data landscape.