PMO Analyst - AI Champion at SAIC

Bethesda, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Task Management, Organizational Skills, AI Concepts, Data Concepts, Interpersonal Skills, Communication Skills, Leadership Qualities, Collaboration, Stakeholder Engagement, Training Resources, Technical Skill Enhancement, Workforce Adoption, Change Management, Project Management, Government Experience, Initiative

Industry

Defense and Space Manufacturing

Description

SAIC is seeking a proactive and detail-oriented Program Support Team Member to support the Chief AI Officer and Chief Data Officer (CAIO/CDO) of one of our Intelligence customers. This position focuses on task management, workforce upskilling, and promoting the adoption of Artificial Intelligence (AI) and Data best practices within the ODNI. The ideal candidate should exhibit strong leadership qualities, take initiative, and demonstrate the ability to guide efforts and collaborate effectively with team members and stakeholders. A strong candidate will have a solid familiarity with AI and Data concepts and a willingness to cultivate technical expertise on the job. Primary Responsibilities Task and Deliverable Management: Assist with managing and coordinating team tasking, ensuring that work products are high-quality, accurate, and presentation-ready for government stakeholders. Track progress, prioritize tasks, and contribute to meeting deadlines aligned with CAIO/CDO objectives. Workforce Upskilling and Development: Support and champion the design and implementation of plans to upskill the customer workforce on Artificial Intelligence and Data-related capabilities. Research and recommend training resources, learning opportunities, and strategies for technical skill enhancement. Workforce Adoption of AI and Data Practices: Contribute to the development and execution of strategies to facilitate workforce adoption of AI tools, technologies, and Data best practices. Work collaboratively to promote workforce engagement and successful integration of AI and Data practices into customer operations. Collaboration and Team Engagement: Serve as a reliable and supportive teammate, offering guidance and ensuring alignment of efforts with broader mission objectives. Exhibit strong collaboration and interpersonal skills to foster effective communication and teamwork. Stakeholder Support: Collaborate with government customers and other stakeholders to ensure deliverables and initiatives align with customer mission needs. Assist in preparing briefings, updates, and documentation as required by customer leadership. Active TS/SCI with Poly is Required. Bachelor’s degree with 8+ years of relevant experience, Associate’s degree with 10+ years of relevant experience, or Master’s degree with 6+ years of relevant experience. Strong task management and organizational skills, including attention to detail and delivering high-quality work. Familiarity with AI and Data concepts (deeper expertise can be developed on the job but must be familiar with various LLMs and their strengths and capabilities as well as a strong grasp of data analytics). Excellent interpersonal and communication skills to collaborate effectively with stakeholders and contribute to team success. Proven ability to take initiative, demonstrate leadership qualities, and provide informal guidance within a team setting. Preferred Qualifications: Experience working in a government or Intelligence Community (IC) setting. Familiarity with organizational change management and workforce transformation initiatives. Ability to learn new technical concepts, such as AI tools and data frameworks, as part of on-the-job development. Certifications in project management (e.g., PMP) or related disciplines are a plus. Experience working with senior government personnel.

Responsibilities

The PMO Analyst will assist in managing team tasks and ensuring high-quality deliverables for government stakeholders. They will also support workforce upskilling and promote the adoption of AI and Data best practices.