AI and Data Governance Lead

Company Description

Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas.

Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions.

You can be part of the takeoff of an innovative business that develops cutting‑edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization.

We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team‑oriented, inclusive, results driven, collaborative, passionate, and flexible.

The AI and Data Governance Lead is responsible for building, operationalizing, and coordinating the enterprise AI and data governance program. This role establishes the governance infrastructure, operational processes, and steward network that enable the organization to manage AI initiatives and data assets responsibly, ethically, and in alignment with business objectives. This role empowers business units to fulfill their governance responsibilities by providing frameworks, tooling, training, and coordination.

Data and AI owners remain embedded in business functions; the Governance Lead enables enterprise-wide visibility, consistency, and accountability.

• Identify, recruit, and onboard data stewards and AI stewards across business functions, ensuring coverage of all critical data domains and AI initiatives
• Design and deliver steward training programs covering governance principles, platform usage (Dataiku Govern, Data Hub), and operational workflows
• Establish clear steward role definitions, time commitments, and accountability expectations in partnership with business function leaders
• Build a steward community of practice through regular forums, office hours, and knowledge sharing sessions
• Maintain steward registry and succession planning to ensure continuity as roles change

• Administer and configure Dataiku Govern including model registry, bundle registry, LLM registry, and governance workflows
• Operationalize AI project intake, risk and value assessment matrices, and sign‑off workflows for AI initiatives
• Coordinate AI project reviews with business sponsors, compliance, legal, and technical stakeholders
• Monitor model drift, performance degradation, and fairness metrics; coordinate remediation with AI owners
• Maintain AI documentation standards including model cards, risk assessments, and compliance artifacts

• Administer Data Hub for enterprise metadata management, data cataloging, and lineage tracking
• Manage Azure data governance resources including Purview integrations, access controls, and classification policies
• Operationalize the data quality continuous improvement program including measurement, monitoring, and issue resolution workflows
• Coordinate data certification processes for enterprise KPIs and…