Project/Program Manager - IT 2

Day to Day Responsibilities

Key Responsibilities

• 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.
• Shepherd AI initiatives through established governance, risk, compliance, and approval processes.
• Ensure adherence to organizational AI policies, ethical standards, and regulatory requirements.
• Cook with legal, compliance, data governance, security, and technical teams as needed.
• Maintain visibility into the AI request pipeline, statuses, and decision points.
• 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.
• 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.
• 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

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.

Required Skills (top 3 Non-negotiables)

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