Staff Technical Program Manager, Enterprise Transformation

PatientPoint

2d•Remote

About The Position

PatientPoint is hiring a Staff Technical Program Manager, Enterprise Transformation, to lead complex, cross-functional programs spanning Product, Engineering, Data, Security, Operations, business teams, and external partners. The initial focus is implementation and adoption of PatientPoint’s Customer Data Platform (CDP) and advancement of AI initiatives across Product and Technology. This senior individual contributor role brings structure to ambiguous work and drives programs from strategy through execution and adoption, while providing visibility into priorities, dependencies, risks, decisions, and outcomes. The role leads end-to-end CDP program execution, coordinating implementation, integrations, readiness, adoption, ownership, milestones, success measures, and decision paths. It connects technical delivery to business use cases and adoption, and communicates program health, risks, dependencies, and outcomes to senior leaders. The position also helps shape strategic AI initiatives and supports responsible, practical adoption in partnership with Engineering, Data, and Security leaders. The Staff Technical Program Manager serves as a senior program leadership partner to technical and business leaders, influences across functions without direct authority, and partners with the Tech PMO to strengthen consistent program and portfolio practices. The position is remote, with less than 15% travel required.

Requirements

At least 8 years of technical program, transformation, or technology delivery experience.
Demonstrated success leading complex, multi-team technology programs.
Hands-on experience delivering a Customer Data Platform implementation, from vendor selection or build through integration and adoption.
Experience working across Product, Engineering, Data, Security, Operations, and business teams.
Strong technical literacy and credibility with Product, Engineering, and Data leaders.
Deep experience in integrated planning, dependency management, risk management, and executive communication.
Ability to create structure and momentum in fast-moving, ambiguous environments.
Strong stakeholder-management and facilitation skills.
Demonstrated ability to influence across functions without direct authority.
Strong systems thinking and ability to connect technology execution to business outcomes.

Nice To Haves

Experience leading platform implementations, vendor integrations, or technology transformation programs.
Experience helping teams responsibly adopt AI or other emerging technology, moving from pilots to scaled, governed practice.
Experience in healthcare or another regulated environment, including privacy and security review.

Responsibilities

Lead complex, cross-functional transformation programs involving Product, Engineering, Data, Security, Operations, business teams, and external partners.
Build integrated plans covering priorities, milestones, dependencies, risks, decisions, and readiness.
Establish operating cadences and executive visibility for complex programs.
Anticipate risks and dependencies and drive resolution before they materially affect outcomes.
Bring leaders together to resolve cross-functional issues and make timely decisions.
Translate strategic priorities into executable plans with clear ownership and measurable outcomes.
Provide structure and program leadership for ambiguous or high-priority initiatives.
Help shape and drive strategic AI initiatives across Product and Technology, including structuring pilots and cross-functional initiatives.
Lead end-to-end Customer Data Platform program execution across Data, Product, Engineering, Ad Tech, Security, Privacy, and business teams.
Coordinate CDP implementation, integrations, dependencies, readiness, and adoption.
Ensure CDP initiatives have clear ownership, milestones, success measures, and decision paths.
Connect technical delivery to business use cases and adoption.
Provide senior leaders with visibility into program health, risks, dependencies, and outcomes.
Partner with Engineering, Data, and Security leaders to support responsible and practical adoption.
Serve as a senior program leadership partner to Product, Engineering, Data, and business leaders.
Constructively challenge assumptions, commitments, and plans when risks or dependencies are not sufficiently understood.
Escalate material risks or unresolved decisions with context and a recommendation.
Influence across functions without relying on direct authority.
Partner with the broader Tech PMO team to strengthen consistent program and portfolio practices.