About The Position

Abacus Technology is seeking a Project Manager to lead projects and provide direction for tasks related to data management and artificial intelligence for the NASA Enterprise Multimedia and Integrated Technical Services (eMITS) program. This is a full-time position.

Requirements

  • 8+ years experience in project management including data governance and management.
  • Bachelor’s degree in Data Science, Information Management, Business Administration, or a related field.
  • Knowledge of AI and data governance and risk frameworks.
  • Able to provide IT clarification as it relates to AI.
  • Proficient with MS 365, SharePoint, Project, and Box.
  • Must have strong problem-solving skills, attention to detail, communication skills, and be able to collaborate within a team and with stakeholders.
  • Able to work independently and manage multiple projects simultaneously.
  • Must be a US citizen.
  • Applicants selected will be subject to a U.S. government security investigation and must meet eligibility requirements for access to classified information.

Nice To Haves

  • Certifications such as Certified Data Management Professional (CDMP) or ITIL desired.
  • Provide expert strategic vision and management services informed by industry best practices to guide efficient and effective data management and AI adoption.
  • Experience with Jira, Microsoft Purview, Collibra, and/or Informatica desired.
  • Experience with strategic management desired.

Responsibilities

  • Provide comprehensive programmatic, strategic, and technical support to the Chief Data Officer (CDO), Chief Artificial Intelligence Officer (CAIO), and broader CDAIO teams.
  • Lead development, coordination, and implementation of data and AI policies, including governance standards, metadata and classification frameworks, interoperability models, and compliance enforcement mechanisms.
  • Conduct policy gap assessments, manage exception processes, monitor compliance, and support consensus-building across NASA centers and external partners.
  • Develop and maintain AI risk assessment methodologies aligned with NIST AI RMF, including bias testing, safety validation, and ongoing performance monitoring for deployed models.
  • Identify risks, create risk statements, mitigation plans, and impact analyses.
  • Facilitate inter-organizational planning and coordination to meet federal requirements and support NASA’s Data Strategy, Data Action Plan goals, and enterprise milestones.
  • Provide project and program management support aligned with IT, data, and AI domain knowledge, applying cost/schedule/performance metrics.
  • Develop and coordinate training materials, briefings, and workforce development strategies to improve NASA-wide proficiency in AI and data competencies.
  • Assess workforce skill gaps and produce tailored curricula and career progression maps for data/AI roles.
  • Implement enterprise-level data management practices such as ontologies, taxonomies, knowledge graphs, metadata standards, and interoperability frameworks.
  • Promote responsible, ethical, secure, and transparent adoption of AI capabilities.
  • Facilitate and support agency-wide boards, working groups, and governance bodies such as ITSB, EDWG, AISB, and AISWG.
  • Provide strategic advisory, content development, governance support, communications coordination, and continuous service improvement across CDAIO initiatives.
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