Project/Program Manager - IT 2

Day to Day Responsibilities

(Being thorough in this section will allow the suppliers to pre-identify candidates more accurately.)

• Key Responsibilities
  • AI Intake & Triage
    • Serve as the primary intake point for all AI-related requests across the organization
    • Evaluate and triage incoming AI use cases for completeness, feasibility, and strategic alignment
    • Partner with requestors to clarify objectives, expected outcomes, data requirements, and success metrics
    • Identify gaps in submissions and ensure all required documentation and information are completed
  • Governance & Process Management
    • Shepherd AI initiatives through established governance, risk, compliance, and approval processes
    • Ensure adherence to organizational AI policies, ethical standards, and regulatory requirements
    • Coordinate with legal, compliance, data governance, security, and technical teams as needed
    • Maintain visibility into the AI request pipeline, statuses, and decision points
  • Strategic Alignment & Advisory
    • Assess AI opportunities against enterprise strategy, priorities, and value frameworks
    • Challenge and refine requests by asking critical questions regarding business value, scalability, and risk
    • Advise stakeholders on whether AI is the appropriate solution versus alternative approaches
    • Identify opportunities to consolidate, scale, or reprioritize AI initiatives
  • Stakeholder Engagement
    • Act as a trusted advisor to business leaders, product owners, and technical teams
    • Translate between technical and non-technical stakeholders to ensure shared understanding
    • Facilitate discussions, workshops, and reviews to shape strong AI use cases
  • Program Oversight & Continuous Improvement
    • Track AI initiatives from intake through approval and into execution handoff
    • Develop and maintain standardized intake frameworks, templates, and evaluation criteria
    • Identify trends, risks, and opportunities within the AI portfolio
    • Continuously improve AI governance processes and stakeholder experience

Required Qualifications

• Bachelor's degree in Business, Technology, Data Science, or related field
• 5 years of experience in program management, strategy, consulting, or technology delivery
• Demonstrated experience working with AI, machine learning, or advanced analytics initiatives
• Strong understanding of AI concepts, capabilities, limitations, and risks (e.g., bias, data quality, model governance)
• Experience with governance frameworks, risk management, or compliance processes

Key Skills & Competencies

• Strategic Thinking: Ability to align AI initiatives with business goals and enterprise priorities
• Critical Thinking: Comfortable challenging assumptions and asking difficult, high-impact questions
• Program Management: Skilled in managing complex workflows, stakeholders, and decision processes
• Communication: Exceptional ability to translate complex AI concepts into clear business language
• Influence & Partnership: Builds trust and credibility across diverse stakeholder groups
• Analytical Mindset: Evaluates use cases for feasibility, value, and risk

Preferred Qualifications

• Experience establishing or operating within AI governance frameworks
• Familiarity with responsible AI principles and regulatory considerations
• Background in healthcare, finance, or other highly regulated industries
• Certifications in project/program management (PMP, PgMP, Agile) or AI-related fields

Success Measures

• Quality and completeness of AI intake submissions
• Alignment of AI initiatives with strategic priorities
• Efficiency and transparency of governance processes
• Stakeholder satisfaction and engagement
• Reduction in redundant or low-value AI efforts

Required Skills (top 3 non-negotiables)

• AI program management
• Practical AI literacy and risk awareness
• Strategic stakeholder communication

Preferred Skills (nice to have)

• AI governance framework experience
• Responsible AI and regulatory knowledge
• Experience in highly regulated industries

Disqualifiers/ Dislikes on Resumes

• No AI/ML/advanced analytics exposure
• No program management, strategy, consulting, or technology delivery experience
• No governance, risk, or compliance experience
• Weak stakeholder communication
• A purely technical profile without strategic/business partnership experience

Education Requirements

College

Required Testing

None

Software Skills Required

None

Required Certifications

None