Sr Program Manager - Enterprise Asset Investment Planning; AIP

Description

Under the direction of EAM Division leadership, the Senior Program Manager – Enterprise Asset Investment Planning (AIP) will lead the development and deployment of a governed decision framework for asset investment prioritization. The Senior Program Manager will serve as a change agent, bringing together historically siloed business functions and technologies to enable and support integrated, risk-informed data-driven investment portfolio development and prioritization across the Port Authority.

This position requires cross-functional leadership skills and asset management expertise to advance and modernize asset investment planning and state-of-good-repair processes by incorporating enterprise data streams, analytics, governance, and best practices. The selected individual will work with diverse groups of line department, engineering, finance, and technology stakeholders to build consistent, enterprise-level asset investment planning processes and tools.

Responsibilities include, but are not limited to, the following:

• Lead collaborative work teams responsible for the development and sustainment of a governed decision framework and processes for asset investment planning and 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.
• Educate Port Authority stakeholders on the value of integrated asset investment planning and updates to legacy planning processes.

• 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 ability to connect and harmonize data sources including asset inventories, condition and inspection data, defects, failure history, root cause information, maintenance history, capital project data, and external regulatory or funding datasets.
• Demonstrated experience developing logical and physical data models that establish relationships between assets, components, defects, failure modes, root causes, treatments, costs, risks, and performance outcomes.
• Demonstrated experience creating and maintaining technology-ready, authoritative asset databases leveraging enterprise asset repositories to support analytics, lifecycle forecasting, and investment prioritization.
• Demonstrated experience…