Senior Director, AI-Ready Data

Establish a unified enterprise data platform that serves as the single source of truth for various domains, ensuring data is connected, trusted, and discoverable. Drive AI-readiness for enterprise data through enterprise data governance initiatives and adopt a data mesh approach to managing data at scale through self-service capabilities.Drive depth of platform maturity and rigorous enforcement of Corp Eng standards across multiple data domains. Achieve enterprise master data excellence.Drive internal adoption of products and create a case study for external customers. Implement a ‘forward-deployment’ model to operationalize data governance and accelerate the adoption of the ‘enterprise data platform’.Serve as creative and innovative technology leader. Build and maintain relationships with other senior executives to develop a clear understanding of business needs, and build and grow a high-performing global organization. Minimum qualifications:Bachelor’s degree in Computer Engineering, a related field or equivalent practical experience18 years of experience in technology and corporate engineering15 years of management experience in enterprise internal systemsExperience managing global cross-functional teams or projects, and influencing senior-level management and key stakeholdersInternational experience working and influencing across geographic and functional boundariesExperience in a unified data management platform, master data management, data governance, and semantic data modelingPreferred qualifications:Experience working in a complex, global organization of large-scale in a regulated environmentProven ability to operate and facilitate process transformation initiatives on enterprise-scale platformsStrong communication skills with the ability to articulate complex technical ideas to both technical and non-technical audiencesCore’s mission is to make Google better for everyone, and at scale. The Core team builds foundational technology and experiences that power the Google family of products. We are owners and advocates for the underlying design elements, safety and privacy technology, developer platforms, product components, and infrastructure at Google. The Corporate Engineering team builds and maintains the enterprise infrastructure that powers Google. We are responsible for designing, building, securing, and operating the systems and tools that keep Google running smoothly. Our mission is to enable Googlers to do their best work by providing them with the reliable, secure, and scalable infrastructure they need. Our vision is to be the world's leading provider of enterprise technology solutions.As the Senior Director, Enterprise Data Platforms & Governance you are a technical and strategic leader responsible for anchoring the AI-ready data mission. You will transition the organization from a capability-centric model to a unified foundation focus that prioritizes a common enterprise data platform with data governance and AI-readiness. You will oversee a global organization of ~170 technologists to deliver the unified data foundation and enable the transition from systems of intelligence to unified systems of action (enable Agentic AI). You'll direct the planning and implementation of technology systems to drive value creation and support business operations, forging successful working relationships with cross-functional partners in a fast-paced environment.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $364000 - $505000 (USD) + 40% bonus target + equity + benefitsLearn more about benefits at Google.Bachelor’s degree in Computer Engineering, a related field or equivalent practical experience18 years of experience in technology and corporate engineering15 years of management experience in enterprise internal systemsExperience managing global cross-functional teams or projects, and influencing senior-level management and key stakeholdersInternational experience working and influencing across geographic and functional boundariesExperience in a unified data management platform, master data management, data governance, and semantic data modeling