Senior Director of Data

City of New York•New York, NY
•$200,001 - $214,999

About The Position

The Campaign Finance Board is seeking a strategic Senior Director of Data to lead its data governance, privacy, information management, records and public disclosure, and artificial intelligence assurance functions. The position will establish and oversee frameworks, standards, policies, and controls so agency data is trustworthy, secure, appropriately governed, legally compliant, and suitable for operational, analytical, research, and public-disclosure purposes. The Senior Director will lead data strategy across structured and unstructured data environments; oversee governance of the data lakehouse and cloud-migration initiatives; strengthen the privacy program; and ensure appropriate records management and Freedom of Information Law (FOIL) production. The role will establish an independent AI assurance function to evaluate data readiness, privacy, fairness, transparency, and accountability before AI use cases are authorized for production and while they remain operational. This is a strategic governance and organizational leadership role, not a hands-on data engineering position. The Senior Director will establish standards, influence peer engineering leaders, exercise independent judgment on AI assurance, and build new capabilities while strengthening established teams. The role partners with senior leadership, data engineering, legal, records, product, and other cross-functional stakeholders. In the near term, the department will integrate the Records, Data & Information unit, establish data governance alongside cloud migration, and build workflows across its disciplines. Over time, it is expected to develop a data science capability supporting the agency’s mission and strategic goals.

Requirements

  • Bachelor’s degree in a relevant field.
  • At least 10 years of experience in data governance, privacy, records management, or related information-governance functions, including at least 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, data loss prevention, 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.

Nice To Haves

  • Advanced degree in data, information management, law, public policy, or a related discipline.
  • Public-sector, regulated-industry, or comparable governance experience.
  • Experience leading data governance, information governance, privacy, or records functions across more than one of these areas.
  • Experience establishing governance standards implemented by technical teams and holding delivery teams accountable to those standards.
  • Experience strengthening functions with statutory or compliance responsibilities and integrating and developing established teams.
  • Experience with records management, retention scheduling, public-records production, and proactive disclosure workflows.
  • Familiarity with centralized governance platforms such as Microsoft Purview.
  • 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.

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, and disclosure screening.
  • Oversee records management, FOIL and 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 preserving 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.
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