Program manager pmo

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Job Description

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. Partner with cross-functional teams (data science, engineering, product, operations, etc.) to align project outcomes with the company's AI roadmap and vision.
• 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. Ensure timely, on-budget delivery of program milestones by maintaining a cadence of continuous improvement and removing impediments.
• 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. Drive change management efforts to promote adoption of AI solutions and new processes across the organization.
• 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. Champion Responsible AI by integrating ethical guidelines and compliance checks into the AI development lifecycle, thereby managing risk and maintaining stakeholder trust.
• 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. Maintain a risk register and contingency plans to prevent minor issues from escalating, ensuring program stability even in a fast-paced, evolving environment.
• 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. Ensure clear, continuous communication so that all stakeholders remain informed and engaged.
• AI Enablement & Innovation: Promote the use of AI-assisted tools and automations within project teams to increase efficiency (for example, using Moveworks for internal support automation). Encourage knowledge sharing and training on these tools. Stay current with AI industry trends and bring innovative ideas to the program, including leveraging prompt engineering techniques to solve problems or prototype new solutions using large language models.
  
  

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 certification (e.g., CSM/SAFe) and/or Project Management Professional (PMP) certification is a plus and demonstrates competence in structured PM practices.
• Agile & Frameworks: Expertise in Agile frameworks such as Scrum and Kanban, and familiarity with scaling frameworks like SAFe or Lean for coordinating large programs. Ability to coach teams on Agile best practices and foster a culture of continuous improvement and adaptability.
• 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. Adept at conflict resolution, negotiation, and maintaining team focus on goals.
• Analytical Problem-Solving: Strong analytical and problem-solving abilities to synthesize complex information, anticipate challenges, and devise creative solutions. Experience in risk management and scenario planning to preempt issues across multiple projects. Detail-oriented, with a proactive approach to identifying and mitigating project risks and obstacles.
• 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. Ability to quickly learn new software or AI platforms with minimal guidance and to train others in their use, enabling the team to leverage technology effectively.
• 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. Capable of evaluating technical proposals and ensuring feasibility of AI solutions.
• 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

• Jira
• Confluence
• Microsoft 365 (Teams, SharePoint)
• AI platforms (Moveworks, Microsoft CoPilot, Azure AI services, OpenAI APIs)
• Tableau/Power BI
• Scrum/Kanban methodologies.
  
  

Job 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.

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $80,412 - $188,164 / ANNUAL

• Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
  
  

If you have questions about this posting, please contact [email protected]