Director of AI Delivery Management

MSD•Rahway, NJ

9d•$173,200 - $272,600•Hybrid

About The Position

The Director of AI Delivery Management is part of the APEX engagement management and execution team and reports directly to the Executive Director of AI Delivery. This leader plans, organizes, and executes end-to-end delivery of AI implementation projects and programs, establishing build teams for assigned engagements and ensuring successful delivery. The role requires broad experience across the software development lifecycle, AI technology, financial and people management, and large-scale techno-functional engineering delivery, along with strong agile, engagement lifecycle, portfolio governance, customer satisfaction, opportunity identification, and business-case capabilities. The Director leads AI engagement execution and teams across multiple, geographically dispersed locations; supports talent strategy and organizational development; oversees product and portfolio management practices; and partners with clients and business leaders to identify, scope, and deliver AI opportunities. The role is accountable for aligning strategic priorities with delivery capacity and ensuring measurable business outcomes, including improvements in efficiency, growth, or patient outcomes. The position is hybrid, based primarily in Rahway, New Jersey.

Requirements

Bachelor’s degree required.
At least 15 years of progressive leadership experience in software development or related roles, with a trajectory to senior leadership.
At least 10 years leading managers or other leaders across multiple functional teams and geographies.
At least 5 years of recent experience delivering enterprise AI or intelligent automation solutions with measurable business impact.
Experience operating at scale in a large enterprise, including product/software lifecycle management and stakeholder engagement.
Strong familiarity with agile, product, and portfolio management practices and tools.
Exceptional senior-leader relationship-building and interpersonal skills, with the ability to influence IT and enterprise leadership.
Executive presence and ability to translate strategy into tactical execution.
Thought leadership in AI strategy, product management, portfolio governance, and enterprise transformation.
Strong facilitation skills, including designing and leading workshops, ideation sessions, and executive briefings.
People leadership skills, including developing managers and fostering high-performing distributed teams.
Critical thinking and problem-solving skills, including the ability to explain complex technical and business trade-offs simply and persuasively.
Proficiency in financial valuation, ROI analysis, and risk assessment for technology investments.
Excellent written and verbal communication, including translating complex AI concepts for nontechnical audiences and producing clear written artifacts.
Skill in decision frameworks and governance design for prioritizing competing opportunities.
Experience managing teams across geographies.

Nice To Haves

Advanced degree, such as an MBA, MS in AI/ML, Computer Science, or a related field.

Responsibilities

Lead execution of AI implementation projects, programs, initiatives, and strategic pursuits.
Represent the AI organization in cross-IT divisional planning, design, execution, and operations sessions, and provide executive counsel.
Promote ethical, safe, and value-driven AI practices across product development, portfolio management, and customer engagements.
Lead, mentor, and oversee AI team members and multiple geographically dispersed teams of employees and contractors.
Support recruiting, developing, and retaining team members and high-potential practitioners; manage employees and contractors as needed.
Foster servant leadership, psychological safety, inclusion, and continuous learning across remote and distributed teams.
Ensure project and product management delivers product strategy, roadmaps, market and enterprise fit, and lifecycle outcomes.
Promote agentic-led thinking and provide agentic management as a service to other divisions, with consistent, measurable, outcome-focused product practices.
Work with product leaders to align product metrics to business value and ensure robust requirements, user-experience design, and go-to-market readiness.
Support AI portfolio demand management through triage, prioritization, valuation, transparency, and strategic alignment.
Apply prioritization frameworks and investment criteria that balance risk, return, strategic alignment, and capacity.
Ensure transparent project and program reporting, clear intake processes, and effective stage-gate governance for timely executive decisions.
Oversee engagement teams as the first-line AI consulting, awareness, and relationship-management function.
Drive high-quality stakeholder interactions and client satisfaction, and be accountable for the volume and quality of inbound AI opportunities.
Promote consistent AI messaging, engagement methods, and workshop facilitation standards.
Use AI frameworks to identify automation, optimization, and augmentation opportunities.
Develop documentation and design blueprints connecting business needs to technical execution.
Ensure strategic goals, business processes, and AI delivery roadmaps are aligned.
Align engagement priorities with delivery capacity and be accountable for aggregate outcomes from AI Delivery-led teams.
Monitor business impact, delivery health, and outcome achievement, ensuring AI initiatives produce measurable improvements.