Sr Program Manager - Enterprise Asset Investment Planning (AIP)

About the role

The Senior Program Manager – Enterprise Asset Investment Planning (AIP) will lead the development and deployment of a governed decision framework for asset investment prioritization. This role requires cross-functional leadership skills and asset management expertise to advance and modernize asset investment planning and state-of-good-repair processes.

Responsibilities

• Lead collaborative work teams responsible for the development and sustainment of a governed decision framework and processes for asset investment planning and prioritization.
• Cook up analytical models supporting AIP, including risk-based prioritization.
• Coordinate with analysts, engineers, and consultants to develop and apply analytical models supporting AIP, including risk-based prioritization.
• Lead the implementation of the agency-wide Asset Investment Planning frameworks using criticality guided decision-making processes to drive risk-based asset management to ensure efficient and effective operations, maintenance, and replacement strategies.
• Document and maintain approved model assumptions, including asset useful life and condition forecasting.
• Evaluate return-on-investment (ROI) and value-based outcomes for prioritized investments.
• Estimate asset replacement, rehabilitation, and treatment costs.
• Define asset lifecycle analytics and decision triggers for repair, rehabilitation, and replacement.
• Manage task orders and budget, and consultant support for AIP gap assessments, process development, model development, and training.
• Serve as an AIP subject matter expert supporting business and technical requirements for enterprise AIP and asset management solutions and frameworks.
• Monitor deployed AIP frameworks and drive continuous improvement including but not limited to updates to agency-wide EAM standards, protocols, useful service life, condition and criticality manuals.
• Frequent communications with Departmental and EAMD Leadership.
• Communication with internal teams and other departments and work groups.
• Education stakeholders on the value of integrated asset investment planning and updates to legacy planning processes.

Requirements

• Bachelor’s degree in Engineering, Infrastructure Management, Asset Management, Data Science, Public Administration, or a related field, with ten (10) years of demonstrated, progressively responsible experience in asset management, asset investment planning, capital planning and risk-informed prioritization, infrastructure portfolio management, or related enterprise programs; OR a Master’s degree in a related field with five (5) years of senior-level experience.
• Demonstrated experience implementing enterprise-level Asset Investment Planning (AIP) frameworks that support risk-based, lifecycle-driven, and data-informed capital investment decision-making across diverse asset portfolios and lines of business.
• Demonstrated ability to manage and lead cross-functional initiatives involving engineering, operations, finance, planning, and technology stakeholders.
• Demonstrated experience leveraging emerging technologies, including but not limited to artificial intelligence (AI), to support risk- and data-driven decision-making, predictive analytics, and investment prioritization.
• Demonstrated experience in data restructuring and analytical modeling to support risk-informed decision-making, including transforming disparate, legacy, or unstructured datasets into standardized, analytics-ready data assets.
• Demonstrated experience designing, building, and integrating multiple databases and datasets across engineering, asset management, operations, finance, and inspection domains to support enterprise asset investment planning.
• Demonstrated experience creating and maintaining technology-ready, authoritative asset databases leveraging enterprise asset repositories to support analytics, lifecycle forecasting, and investment prioritization.
• Demonstrated experience implementing AIP processes compliant with multi-agency federal requirements, including FAA, FHWA, FTA, and USACE.
• Knowledge of agency-wide enterprise data governance, including enterprise asset data standards, taxonomies, data quality controls, metadata, data lineage, stewardship, and auditability.
• Proven problem-solving, negotiation, and conflict resolution skills, with strong oral, written, and presentation abilities.
• Proven public speaking skills.

Skills

• Professional licensure and/or relevant industry certifications.
• Project or program management experience.
• Asset lifecycle management and asset investment planning knowledge.
• Data analytics and modeling experience.
• Enterprise asset management systems knowledge, such as IBM Maximo.
• Ability to organize and prioritize multiple projects in a dynamic environment.
• Effective cross-functional communication and collaboration.