Enterprise Platform Coordinator

Senior Consultant,Data Governance About Our Firm:

Granite Solutions Groupe provides financial services decision makers with people and solutions that deliver. Our clients count on us to deliver the right talent at the right time to achieve critical business results. We leverage our industry knowledge and passion for client priorities to deliver human capital solutions. GSG was founded in 1998 as a consulting firm delivering project management and technology solutions for the financial services industry.

GSG now has a global presence, with team members deployed across the U.S. at Fortune 1000 companies and high-performing Fintech firms. High-caliber consultants are the face of GSG at our client organizations and offices. We value the deep relationships we have with our consultants that enable us to place them in roles where their skills will have an immediate impact.

The GSG consulting team is comprised of diverse, experienced, driven, and dynamic contributors who excel at getting things done.

The Enterprise Platform Coordinator is responsible for the strategic ownership, implementation, and continuous evolution of Enterprise Platforms. This role ensures that firm data is trusted, well-defined, and handled in accordance with internal standards and regulatory expectations. The position leads governance platform capabilities across Collibra, Atlan, Alation, and Manta, driving metadata management, lineage visibility, policy enforcement, conceptual mapping implementation, and AI implementation.

The role partners closely with business leadership, data teams, and Risk/Compliance to embed governance into enterprise workflows and support analytics and AI initiatives in a controlled and compliant manner. This is not a remote position. This position is required to be in the office Monday through Thursday every week, in either San Francisco or San Ramon. Friday work may be mostly work from home, as long as the situation allows.

• Own and lead the Enterprise Platform strategy, including roadmap, adoption, and long-term scalability.
• Establish and enforce firm-wide data governance standards, policies, and operating models aligned with governance expectations.
• Provide end-to-end ownership of governance platforms such as Collibra, Atlan, Alation, and Manta, including configuration, lifecycle management, and continuous enhancement.
• Lead implementation of data lineage, metadata management, conceptual mapping, and lifecycle controls to ensure traceability, usability, and auditability.
• Drive AI implementation within governance platforms to enable responsible metadata enrichment, discovery, stewardship workflows, and governed AI use cases.
• Ensure compliance with data privacy, security, and regulatory requirements including GDPR, CCPA, and applicable industry standards.
• Partner with stakeholders across business and technology teams to define governance priorities and align metadata with business needs.
• Establish and oversee data quality frameworks, metrics, and monitoring processes.
• Drive integration of governance platforms into enterprise systems supporting analytics and AI use cases.
• Lead governance reviews, audits, and risk assessments to ensure compliance with internal and external controls.
• Identify and mitigate data governance risks, especially related to sensitive and regulated data.
• Promote data stewardship practices through training, communication, and organizational change management.
• Ensure platform reliability and operational effectiveness through monitoring and continuous improvement.
• Maintain documentation supporting governance frameworks, lineage, conceptual mappings, and audit readiness.

• 10+ years of experience in data governance, data management, or enterprise data platform roles.
• Proven experience leading Enterprise Platforms or programs.
• Strong understanding of governance frameworks and operating models.
• Experience implementing AI-enabled capabilities or supporting AI use cases within governed data platforms and enterprise data ecosystems.
• Understanding of responsible AI principles, metadata-driven AI enablement, and governance controls required to support…