Program Manager (Infrastructure, AI and M&A)

Michael Baker International•Katy, TX

2d•$124,000 - $175,000•Remote

About The Position

Michael Baker International is seeking a Program Manager – Infrastructure, AI & M&A to lead complex, cross-functional technology programs spanning infrastructure modernization, cloud and cybersecurity, enterprise AI, and merger and acquisition integration. The role provides program governance, delivery leadership, and executive visibility while coordinating technical teams, business stakeholders, acquired organizations, and vendors. The Program Manager translates technical work into clear business outcomes and drives accountability across competing priorities and organizational boundaries. The role leads programs from initiation through implementation and transition to operations, establishes objectives and integrated plans, oversees financial health and delivery predictability, and coordinates work across technical and business functions. It also guides AI initiatives from evaluation and pilots through implementation, adoption, governance, and value realization, and leads technology due diligence and post-close M&A integration planning. This is a full-time remote position based in the United States. Applicants must be authorized to work in the United States.

Requirements

Bachelor's degree in Information Technology, Computer Science, Business, Engineering, or a related field, or equivalent professional experience.
At least 8 years of technology project or program management experience leading complex, cross-functional initiatives.
Demonstrated experience managing infrastructure, cloud, enterprise platform, technology modernization, or M&A integration programs.
Experience applying Agile delivery practices, including iterative planning, backlog management, cross-functional coordination, and continuous improvement.
Proven program governance, dependency and risk management, financial management, and resource-planning skills in matrixed environments.
Technical fluency sufficient to understand architecture discussions, challenge assumptions, and identify delivery dependencies; deep coding or infrastructure expertise is not required.
Strong executive communication, facilitation, negotiation, and stakeholder-management skills, including the ability to influence without direct authority.
Ability to lead through ambiguity, changing priorities, and multiple concurrent initiatives.
Strong financial management, budget-tracking, and ROI communication capabilities.
Must be authorized to work in the United States.

Nice To Haves

Experience delivering AI, generative AI, automation, data, or other emerging-technology initiatives.
Experience supporting technology due diligence, Day 1 readiness, or post-close M&A integration activities.
Experience with Microsoft Azure or another major cloud platform.
Knowledge of AI governance, data readiness, security, responsible AI, adoption, and value realization.
Enterprise PMO experience.
PMP, PgMP, Agile, SAFe, or comparable certification.

Responsibilities

Lead infrastructure modernization, AI, and M&A technology integration programs from initiation through implementation and transition to operations, ensuring clear scope, realistic sequencing, and measurable outcomes.
Define program objectives, milestones, dependencies, resource needs, risks, budgets, and success measures; maintain integrated plans and manage financial health and delivery predictability.
Coordinate delivery across infrastructure, cloud, security, data, applications, architecture, operations, business teams, acquired organizations, and vendors; resolve cross-functional conflicts and escalate delivery-impacting decisions.
Drive Agile delivery practices, including iterative planning, backlog prioritization, cross-functional team coordination, and continuous improvement.
Provide concise, data-driven executive reporting on progress, financial health, risks, decisions, and outcomes; support steering committees and PMO governance forums with timely visibility.
Partner with technical leaders to turn technology roadmaps and M&A integration priorities into executable programs, identify dependencies, challenge assumptions, and ensure operational readiness.
Guide AI initiatives from use-case evaluation and pilot through implementation, adoption, governance, and value realization.
Lead M&A technology due diligence and post-close integration planning, including Day 1 readiness, application and infrastructure integration, security and access alignment, dependency mapping, and transition to operations.
Communicate technical topics in business language and support stakeholder readiness, organizational change, and adoption.
Apply PMO standards and support portfolio prioritization, resource planning, governance forums, and steering committees.