Senior Manager, AI Program Management

IDC Corporate; Boston (MA); On-site; USD 180,000 - 250,000; Full time

Job summary

IDC Corporate is seeking a Senior Manager, AI Program Management to build and lead the AI PM function from the ground up. You will partner with the VP of AI to translate strategy into an executable roadmap across AI platforms, governance, and business use cases, while delivering complex programs through cross-functional collaboration.

You will own intake, define repeatable delivery lifecycles, and establish measurement standards to track adoption, value, and risk.

Responsibilities

• Build IDC’s AI program-management function, including standards, rituals, templates, portfolio reporting, intake, prioritization, decision tracking, and delivery governance.
• Partner directly with the VP of AI to translate strategy into an actionable roadmap across AI platform, agent products, governance, observability, adoption, and business use cases.
• Turn loosely defined business opportunities into clear charters with problem statements, expected value, owners, scope, dependencies, success metrics, milestones, and definition of done.
• Create and operate a portfolio view of AI initiatives, making tradeoffs and capacity constraints visible to executive leadership.
• Lead end-to-end delivery of complex AI programs involving engineering, data, security, legal, enterprise architecture, product, and business stakeholders.
• Own intake and prioritization end-to-end — run the pragmatic process that decides what enters the portfolio, in what order, and distinguishes experiments from scalable production investments.
• Work directly with delivery teams to gather deliverables, status, and artifacts, following up yourself when something is late or off-track rather than waiting for teams to report up.
• Define a repeatable delivery lifecycle for AI products—from discovery and data readiness through pilot, evaluation, production launch, adoption, and ongoing measurement.
• Drive cross-functional alignment on requirements, risks, decisions, dependencies, and timelines; escalate early when delivery, security, data, or adoption risks threaten outcomes.
• Create executive-ready communication that clearly explains progress, business value, risks, decisions needed, and next steps.
• Help establish measurement standards for AI initiatives, including adoption, quality, reliability, cost, risk, and realized business value.
• Partner with technical leaders to ensure plans account for architecture, integrations, data access, evaluation, security, governance, operational support, and change management.
• Help build the operating cadence for the AI organization: weekly delivery reviews, monthly portfolioand value reviews, and executive steering updates.
• Mentor future program and project managers as the function grows.

Job description

Overview

About the Role & Team: IDC is building an enterprise AI capability that moves beyond isolated pilots: a secure, reusable platform for deploying AI agents, connecting them to enterprise data and tools, and provingmeasurable business value. We are looking for a high-ownership Senior Manager, AI Program Management to build the AI PM function from the ground up alongside the VP of AI. This person will bring structure, transparency, and execution discipline to a fast-moving portfolio of AI platform, data, governance, and business-facing agent initiatives. This is not a traditional project-coordination role. You will help decide what gets built, turn ambiguous ideas into executable plans, establish the operating model for AI delivery, and keep cross-functional teams focused on outcomes. We need someone who does this work personally — drafting the charter, chasing the dependency, rewriting the deck before the steering meeting — not someone who assigns it and checks in later.

What You’ll Do

• Build IDC’s AI program-management function, including standards, rituals, templates, portfolio reporting, intake, prioritization, decision tracking, and delivery governance.
• Partner directly with the VP of AI to translate strategy into an actionable roadmap across AI platform, agent products, governance, observability, adoption, and business use cases.
• Turn loosely defined business opportunities into clear charters with problem statements, expected value, owners, scope, dependencies, success metrics, milestones, and definition of done.
• Create and operate a portfolio view of AI initiatives, making tradeoffs and capacity constraints visible to executive leadership.
• Lead end-to-end delivery of complex AI programs involving engineering, data, security, legal, enterprise architecture, product, and business stakeholders.
• Own intake and prioritization end-to-end — run the pragmatic process that decides what enters the portfolio, in what order, and distinguishes experiments from scalable production investments.
• Work directly with delivery teams to gather deliverables, status, and artifacts, following up yourself when something is late or off-track rather than waiting for teams to report up.
• Define a repeatable delivery lifecycle for AI products—from discovery and data readiness through pilot, evaluation, production launch, adoption, and ongoing measurement.
• Drive cross-functional alignment on requirements, risks, decisions, dependencies, and timelines; escalat early when delivery, security, data, or adoption risks threaten outcomes.
• Create executive-ready communication that clearly explains progress, business value, risks, decisions needed, and next steps.
• Help establish measurement standards for AI initiatives, including adoption, quality, reliability, cost, risk, and realized business value.
• Partner with technical leaders to ensure plans account for architecture, integrations, data access, evaluation, security, governance, operational support, and change management.
• Help build the operating cadence for the AI organization: weekly delivery reviews, monthly portfolioand value reviews, and executive steering updates.
• Mentor future program and project managers as the function grows.