AI Program Manager

About the role

The AI Program Manager leads critical technology initiatives, coordinating across engineering, data, security, and architecture teams with decision-making autonomy. This role translates business goals into actionable program plans, manages vendors, and ensures responsible AI governance at every milestone.

Responsibilities

• Leading end-to-end planning and execution of complex technical programs spanning multiple engineering, data, security, and architecture teams.
• Translating business objectives into actionable technical plans and milestones by leading requirement sessions, documenting needs, and coordinating timelines, dependencies, and deliverables.
• Owning backlog governance and user story standards within Azure DevOps, ensuring Epics, Features, and Stories have consistent structure and traceability.
• Managing vendor relationships and third-party delivery accountability involving tracking SOW milestones, addressing escalations, and overseeing contract performance across technology engagements.
• Facilitating decision-making among stakeholders to address obstacles and trade-offs, ensuring accountability for meeting delivery commitments, timelines, and outcomes.
• Managing program visibility and tracking delivery in Azure DevOps, including work item organization, Delivery Plans, sprint velocity reports, and executive dashboard setup.
• Serving as an example for the Enterprise Applications team philosophy, promoting enterprise processes, procedures, security, standards, and knowledge-first support principles.
• Defining and overseeing testing strategies at the program level, including quality standards, user acceptance frameworks, and end-user validation processes.
• Establishing and maintaining program governance, reporting, and communication standards, including AI-specific checkpoints, while ensuring alignment with security, compliance, and enterprise technology standards.
• Identifying, tracking, and mitigating program risks, issues, and dependencies while enabling stakeholder decisions to address blockers and ensure delivery outcomes.
• Leveraging AI tools, contributing to AI-powered solutions, and adhering to governance standards, including responsible use, data classification, and model deployment review processes.

Qualifications

• Possess Bachelor's degree in Business Administration, Project Management, Communications, Computer Science, Engineering, or related fields or exhibit equivalent professional experience
• Demonstrate understanding of software development lifecycles and technical architectures, effectively evaluating technical risks and conveying impacts to senior stakeholders.
• Obtain or hold applicable professional certifications, such as PMP, PMI-ACP, or SAFe. Optional certifications include AZ-900, PL-900, or AI-900.
• Have familiarity with Microsoft AI Foundry, Microsoft Fabric, or similar enterprise AI and data platforms in regulated and compliance-driven industries.
• Support release windows and production support events while showcasing background in Business Administration, Project Management, Communications, Computer Science, Engineering, or related fields. Exhibit equivalent professional experience and hold relevant certifications.
• Demonstrate ability to manage cross-functional dependencies and stakeholder alignment across operations, engineering, data, security, and vendor teams.
• Demonstrate effective communication skills by translating business needs into program plans, visually presenting technical concepts, and collaborating across offices and time zones.
• Possess experience delivering programs within professional services, legal, or comparable sectors requiring strict confidentiality, governance, and adherence to compliance standards
• Bring over five years overseeing complex enterprise technical programs, including 2 years focused on AI, data platforms, or enterprise applications.
• Possess experience managing vendors, contractors, and third-party deliveries, including SOW oversight, escalation management, and contract performance accountability.
• Demonstrate experience applying AI-assisted tools in a professional engineering or enterprise technology environment.
• Demonstrate experience establishing and maintaining backlog structure, user story guidelines, and acceptance criteria within Azure DevOps or similar platforms. Apply Agile, hybrid, or scaled delivery methods to efficiently oversee enterprise programs and associated delivery activities.

Skills

• Effective communication skills
• Ability to manage cross-functional dependencies and stakeholder alignment
• Experience delivering programs within professional services, legal, or comparable sectors
• Experience managing vendors, contractors, and third-party deliveries
• Experience applying AI-assisted tools in a professional engineering or enterprise technology environment
• Experience establishing and maintaining backlog structure, user story guidelines, and acceptance criteria within Azure DevOps or similar platforms

Benefits

• Comprehensive suite of benefits to meet your needs now and in the future

Pay

$128,000 - $249,000 / year

Schedule

N/A