Senior Director of Data

The Campaign Finance Board is a nonpartisan, independent city agency. The Senior Director of Data will lead the agency's data governance, privacy, information management, records and public disclosure, and artificial intelligence (AI) assurance functions, establishing the frameworks, standards, policies, and controls needed to keep agency data trustworthy, secure, appropriately governed, legally compliant, and suitable for operational, analytical, research, and public-disclosure purposes. This is a strategic governance and organizational leadership position, not a hands-on data engineering role.

Responsibilities

Develop and oversee enterprise data governance frameworks, including data classification, quality, metadata, lineage, and retention standards; Establish and lead the agency's privacy and information-governance program, including sensitive-data protection, data loss prevention (DLP), and disclosure screening; Oversee records management, FOIL/public-records production, retention schedules, and proactive open-data disclosure; Lead independent AI assurance reviews covering data readiness, privacy, bias, fairness, transparency, and accountability; Govern data platforms, cloud migration, and data lakehouse initiatives by establishing standards and reviewing technical and vendor deliverables; Partner with engineering leadership to ensure data solutions meet governance requirements while maintaining appropriate separation between governance and technical implementation; Build and strengthen governance, privacy, and records functions; lead team integration, workforce planning, staff development, and performance management; Develop long-term data strategy and a roadmap for future in-house data science and predictive modeling capabilities; Advise executive leadership on data risks, compliance, governance priorities, and organizational strategy

Requirements

Bachelor's degree in a relevant field; 10+ years of experience in data governance, privacy, records management, or related information-governance functions, including 5+ years of team leadership; Demonstrated experience developing and implementing enterprise data governance frameworks and holding technical teams accountable to established standards; Experience building or improving privacy, information-governance, records-management, or compliance programs; Knowledge of AI/ML governance, data readiness, bias and fairness assessment, and responsible AI assurance; Familiarity with data lakehouses, cloud governance platforms, DLP, and relevant FedRAMP/NIST-aligned requirements; Strong understanding of records retention, public-records disclosure, and statutory or regulatory compliance; Excellent leadership, communication, stakeholder-management, documentation, and strategic planning skills; Public-sector, regulated-industry, or comparable governance experience is strongly preferred

Nice to have

Bachelor's degree in a relevant field with an advanced degree in data, information management, law, public policy, or a related field; Demonstrated experience leading data governance, information governance, privacy, or records functions, ideally spanning more than one of these areas; Experience establishing governance standards that technical teams implement and holding delivery teams accountable to those standards; Experience strengthening and maturing functions with statutory or compliance responsibilities; Public-sector, regulated-industry, or comparable governance experience; Experience building operational privacy and data-governance capabilities while integrating and developing established teams; Experience with records management, retention scheduling, public-records production, and proactive disclosure workflows; Knowledge of AI/ML assurance, including data readiness, bias and fairness assessment, privacy, and accountability; Familiarity with data-platform governance, data lakehouse environments, centralized governance platforms such as Microsoft Purview, and FedRAMP/NIST-aligned requirements; Experience evaluating strategic vendor deliverables and overseeing governance requirements for data platforms and cloud-migration initiatives; Knowledge of data science and predictive modeling sufficient to scope, staff, and lead a future data science function; Strong cross-divisional leadership, stakeholder-convening, and executive communication capabilities; Demonstrated ability to build new functions, strengthen existing programs, and maintain high standards of documentation, defensibility, and audit readiness