AI Program Manager
Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Oct 6, 2026.
Qualifications & Experience:
Bachelor’s degree in Business Administration, Computer Science, Engineering, Information Systems, or a related field.
12+ years of experience in program management, project management, or technology delivery, including at least 5 years leading complex AI, data, advanced analytics, or digital transformation programs across multiple projects and cross-functional teams.
Demonstrated experience managing the full program lifecycle for large-scale technology or AI initiatives, including integrated planning, portfolio coordination, dependency management, financial oversight, risk and issue management, executive stakeholder reporting, governance, and benefits realization.
Solid understanding of both waterfall and agile delivery methodologies, with practical experience applying each in appropriate contexts and managing hybrid delivery environments.
Experience working in financial services or regulated industries, with familiarity with governance requirements, change management processes, and compliance obligations for technology programs.
Proficiency in project management tooling such as MS Project, Jira, or equivalent.
Recognized project management certification (PMP or equivalent) is required; agile certifications (PMI-ACP, Certified Scrum Master, or equivalent) are advantageous.
Skills:
Strong project and program delivery leadership skills, with the ability to lead complex, cross-functional AI initiatives, manage multiple concurrent projects, optimize resource utilization and maintain delivery discipline.
Advanced risk, issue, and governance management skills, with the ability to proactively identify strategic delivery risks and dependencies, assess business and operational impacts, and develop effective mitigation strategies.
Clear and structured communication skills, with the ability to produce well-organized project status reports, steering committee materials, and stakeholder communications tailored to technical and non-technical audiences.
Collaborative working style, with the ability to coordinate across engineering, data science, product, business, and governance teams and maintain alignment across diverse delivery stakeholders.
Strong stakeholder management skills, with the ability to manage expectations, facilitate difficult conversations, and maintain trust across project stakeholders at different seniority levels.
Qualifications & Experience:
Bachelor’s degree in Business Administration, Computer Science, Engineering, Information Systems, or a related field.
12+ years of experience in program management, project management, or technology delivery, including at least 5 years leading complex AI, data, advanced analytics, or digital transformation programs across multiple projects and cross-functional teams.
Demonstrated experience managing the full program lifecycle for large-scale technology or AI initiatives, including integrated planning, portfolio coordination, dependency management, financial oversight, risk and issue management, executive stakeholder reporting, governance, and benefits realization.
Solid understanding of both waterfall and agile delivery methodologies, with practical experience applying each in appropriate contexts and managing hybrid delivery environments.
Experience working in financial services or regulated industries, with familiarity with governance requirements, change management processes, and compliance obligations for technology programs.
Proficiency in project management tooling such as MS Project, Jira, or equivalent.
Recognized project management certification (PMP or equivalent) is required; agile certifications (PMI-ACP, Certified Scrum Master, or equivalent) are advantageous.
Skills:
Strong project and program delivery leadership skills, with the ability to lead complex, cross-functional AI initiatives, manage multiple concurrent projects, optimize resource utilization and maintain delivery discipline.
Advanced risk, issue, and governance management skills, with the ability to proactively identify strategic delivery risks and dependencies, assess business and operational impacts, and develop effective mitigation strategies.
Clear and structured communication skills, with the ability to produce well-organized project status reports, steering committee materials, and stakeholder communications tailored to technical and non-technical audiences.
Collaborative working style, with the ability to coordinate across engineering, data science, product, business, and governance teams and maintain alignment across diverse delivery stakeholders.
Strong stakeholder management skills, with the ability to manage expectations, facilitate difficult conversations, and maintain trust across project stakeholders at different seniority levels.
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