AI Program Manager
Job Summary : The AI Program Manager serves as a strategic leader driving the execution of AI initiatives to deliver meaningful business impact. In this role, you will bridge AI technologies with business strategy, ensuring that cutting-edge AI projects are aligned with organizational goals and executed effectively. You will focus on continuous process improvement and organizational change management to operationalize the AI program vision. This includes end-to-end program planning (estimating, scheduling, costing) and proactive risk and issue management across all AI projects in your portfolio, working cross-functionally to maintain alignment and momentum.
Key Responsibilities
- Strategic Program Leadership : Lead multiple AI projects as a coordinated program, ensuring they collectively achieve strategic objectives and deliver business value at scale.
- Agile Project Delivery : Implement and champion Agile methodologies (Scrum / Kanban) for AI product development and deployment. Oversee sprint planning, backlog prioritization, and iterative delivery across teams, adapting frameworks like SAFe for enterprise-scale coordination when needed.
- Cross-Functional Coordination : Facilitate collaboration among diverse stakeholders, including executives, business units, and external partners or vendors. Serve as the point of contact for program status, aligning expectations and communicating progress.
- Operational Excellence & Governance : Establish standardized processes, tools, and metrics for efficient program execution and governance. Monitor program KPIs and implement governance practices (e.g. stage gates, documentation standards) to ensure quality and compliance.
- Issue Resolution & Risk Management : Proactively identify potential risks, inter-project dependencies, and problem areas across all ongoing AI projects. Develop mitigation strategies and drive resolution of complex issues swiftly.
- Stakeholder Communication : Prepare and deliver executive-level updates, dashboards, and readouts on program status, achievements, challenges, and next steps. Translate technical progress into business impact for senior leadership and finance teams.
- AI Enablement & Innovation : Promote the use of AI-assisted tools and automations within project teams to increase efficiency. Encourage knowledge sharing and training on these tools. Stay current with AI industry trends and bring innovative ideas to the program.
Skills & Qualifications
Project Management Mastery : Deep knowledge of project / program management principles and methodologies, with hands-on experience in both traditional SDLC and Agile environments.Agile & Frameworks : Expertise in Agile frameworks such as Scrum and Kanban, and familiarity with scaling frameworks like SAFe or Lean for coordinating large programs.Leadership & Communication : Exceptional cross-functional leadership skills with the ability to inspire and guide diverse teams without direct authority. Excellent communication and interpersonal skills to collaborate with technical and non-technical stakeholders.Analytical Problem-Solving : Strong analytical and problem-solving abilities to synthesize complex information, anticipate challenges, and devise creative solutions.Tool Proficiency : High proficiency in project management and productivity tools (e.g., Jira, Trello, MS Project, Confluence, Power BI) for tracking progress, managing tasks, and reporting.AI & Technical Acumen : Solid understanding of AI / ML concepts and the software development lifecycle. Familiarity with programming (especially Python and common AI / ML libraries or frameworks) to effectively communicate with developers and data scientists.AI Tools & Prompt Engineering : Demonstrated experience using AI-assisted tools (such as ChatGPT for content generation or analysis, Copilot for development, etc.) in a professional context. Skilled in prompt engineering for AI models able to craft queries / prompts that yield useful insights from language models and integrate those insights into decision-making processes.Business Acumen : Business-oriented mindset to understand and drive the ROI of AI initiatives. Ability to align technical projects with business priorities and to measure success in terms of business outcomes (e.g., efficiency gains, cost savings, revenue impact).Adaptability : Thrives in a fast-paced, innovative environment. Comfortable managing ambiguity and shifting priorities, with a demonstrated ability to adapt plans as necessary to meet organizational needs and external market changes. A continuous learner who stays updated on emerging technologies and industry best practices in AI and program management.Tools & Technologies
JiraConfluenceMicrosoft 365 (Teams, SharePoint)AI platforms (Moveworks, Microsoft CoPilot, Azure AI services, OpenAI APIs)Tableau / Power BIScrum / Kanban methodologiesJob Qualifications
Required Education : Bachelor's degree or equivalent combination of education and experience and at least 1 PM course required.
Required Experience : 4-7 years of relevant work experience in business, engineering, or a related field in lieu of degree acceptable.
Preferred Education : Additional formal training in PM preferred.
Preferred License, Certification, Association : PMP or Six Sigma Green Belt Certification desired.
Pay Range : $80,412 - $188,164 / ANNUAL
Actual compensation may vary from posting based on geographic location, work experience, education and / or skill level.