Senior Director, Data Modeling

*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategoryDataJob Details****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. 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.### ### **Responsibilities**Modeling Practice & Team Leadership:* Lead, mentor, and grow a high-performing, globally-distributed team of data modelers.* Define and own the enterprise-wide standards, processes, and best practices for the *implementation* of all data models within the enterprise data platforms and enterprise architecture practicesStakeholder-Driven Model Design:* Serve as the primary partner and consultant for Data Science, Automation, and Application teams.* Translate their functional and non-functional requirements (e.g., analytical performance, query latency, automation throughput) into optimal logical and physical data model designs.Hybrid-Cloud Model Implementation:* Design and govern the implementation of data models that span our hybrid ecosystem, including Salesforce Data 360, multiple Salesforce orgs, Informatica MDM, Amazon data lakes, and Snowflake.* Master the benefits and trade-offs of modeling on each platform, such as leveraging Snowflake's zero-copy data sharing vs. federating queries to S3.Advanced Modeling Expertise:* Lead the design and modeling for the Enterprise Knowledge Graph, partnering with the platform team on its implementation on our chosen graph database.* Design and govern the data models that integrate unstructured data and vector embeddings (from our vector database) with our core enterprise structured data.Data Modeling Design Authority:* Serve as the chief arbiter and thought leader on data modeling methodologies. Drive the strategic selection and implementation of the *right* model for the *right* stakeholder.* You must be the expert on the *practical implementation* of data modeling approaches such as 3NF, Data Vault 2.0, and Star/Snowflake schemas, and be able to defend your choice based on performance, cost, and maintainability.### Required Qualifications* Experience: 12+ years of hands-on data modeling, with at least 7+ years in a senior leadership role managing technical modeling teams.* Modeling Methodology Expert: Expert-level mastery of all major data modeling methodologies and the deep *implementation trade-offs* between them such as 3NF (for applications), Data Vault (for integration layers), and Star/Snowflake schemas (for data science).* Hybrid-Cloud Modeling Expertise: Proven, hands-on experience *building and optimizing* data models on a complex, hybrid-cloud stack. Mandatory expertise with Snowflake and demonstrable experience modeling data across Amazon data lakes (e.g., S3).* Master Data Management (MDM): Deep experience modeling Master Data Management golden records and hierarchies, and integrating them with operational and analytical systems (e.g., Informatica MDM).* Salesforce Ecosystem Expertise: Deep understanding of the data modeling challenges within a multi-org Salesforce CRM environment and a customer activation platform (Salesforce Data Cloud canonical model DLO/DMO).* Enterprise Graph Modeling: Proven, deep experience designing and modeling enterprise-scale Knowledge Graphs for implementation on graph databases.* AI & Modern Data Expertise: Demonstrable experience with modeling unstructured data and designing the models to integrate vector embeddings from a vector database into a cohesive enterprise view.* Stakeholder-Driven Leadership: A proven track record of partnering directly with Data Science, Automation, and Application/Engineering teams to deliver data models that meet their specific needs.* Data Governance Partnership: Proven experience partnering with Data Governance teams to ensure models are compliant, secure, and integrated with the enterprise data catalog.* Collaboration & Influence: Exceptional communication skills. The ability to articulate complex *implementation* trade-offs (e.g., "why this join strategy in Snowflake is better for your DS model") to both technical and non-technical stakeholders.### Preferred Qualifications* Salesforce Data Cloud / Data 360 Expertise: Deep understanding of Salesforce Data 360 platform with experience designing, deploying, and managing data model objects on enterprise deployments of Salesforce Data 360* Data Modeling Certifications: Relevant industry standard data certifications for Data Management professionals and cloud database management from Amazon, Snowflake, Google, Neo4J, or similar. Formal training in all major modeling methodologies (Kimball, Inmon, etc.) to demonstrate a "toolbox" approach* Data Mesh: Familiarity with Data Mesh principles and how different modeling standards serve as the foundation for interoperable data products. Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this .Posting StatementAny employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce #J-18808-Ljbffr