Director of AI Delivery Management

MSD•Rahway, NJ

8d•Hybrid

About The Position

The Director of AI Delivery Management is a member 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, establishes build teams for assigned engagements, and is accountable for successful delivery. The role requires experience across the software development lifecycle, AI technology, financial and people management, and large-scale techno-functional engineering delivery, along with strong agile methodology, engagement lifecycle management, portfolio governance, customer satisfaction, opportunity identification, lessons harvesting, and business case development skills. The Director leads engagement execution and provides executive counsel in cross-divisional planning, design, execution, and operations. They mentor and oversee dispersed teams of employees and contractors; support talent strategy; oversee product and project management; champion agentic-led practices; and help govern and prioritize the AI portfolio. The role also oversees client partnerships and engagement quality, identifies business opportunities for AI, connects business needs to technical delivery, and aligns strategic priorities with delivery capacity. The Director monitors delivery health and measurable business outcomes, including improvements in efficiency, growth, or patient outcomes. The position is hybrid, based in Rahway, New Jersey. The required education is a bachelor's degree; an advanced degree is preferred. The primary-location salary range is $173,200 to $272,600. The successful candidate is eligible for an annual bonus and long-term incentive, if applicable. The company offers a comprehensive benefits package, including medical, dental, vision, other insurance benefits, retirement benefits, paid holidays, vacation, and compassionate and sick days.

Requirements

Bachelor's degree required.
At least 15 years of progressive leadership experience in software development or related functions, with a proven trajectory to senior leadership.
At least 10 years leading managers or other people leaders across multiple functional teams and geographies.
Five or more recent years delivering enterprise AI or intelligent automation solutions with measurable business impact.
Experience operating at scale in a large enterprise, including exposure to product/software lifecycle management and stakeholder engagement.
Strong familiarity with agile, product, and portfolio management practices and tools.
Exceptional relationship-building and interpersonal skills, including the ability to influence IT senior leadership and enterprise leadership.
Executive presence and ability to translate strategy into tactical execution.
Demonstrated 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.
Effective people leadership, including developing managers and fostering high-performing dispersed teams.
Expert critical thinking and problem-solving skills, including explaining complex technical and business trade-offs clearly and persuasively.
Proficiency in financial valuation, ROI analysis, and risk assessment for technology investments.
Excellent communication skills, including translating complex AI concepts for non-specialist audiences and producing clear written materials.
Skill in decision frameworks and governance design for prioritizing competing opportunities.
Experience in cross-geography management.
Required skills include AI implementation planning, artificial intelligence, AI ethics, critical thinking, data engineering, data visualization, enterprise leadership, lifecycle planning, organizational development, portfolio management, product management strategy, software configurations, software development, SDLC, and thought leadership.

Nice To Haves

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

Responsibilities

Lead execution of AI implementation projects, programs, initiatives, and strategic pursuits.
Provide executive counsel and represent the AI organization in cross-IT-divisional planning, design, execution, and operations sessions.
Promote leading practices for ethical, safe, and value-driven AI across product development, portfolio management, and customer engagements.
Lead and mentor AI team members and oversee multiple geographically dispersed teams of employees and contractors.
Foster servant leadership, psychological safety, inclusion, and continuous learning across distributed teams.
Participate in recruiting, developing, and retaining team members and high-potential practitioners; manage employees and contractors as needed.
Ensure project and product management deliver clear product strategy, roadmaps, market and enterprise fit, and lifecycle management outcomes.
Champion agentic-led thinking and provide agentic management as a service to other divisions, promoting consistent, measurable, outcome-focused product practices.
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.
Use 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 executive decisions.
Oversee engagement teams as the first-line AI consulting, awareness, and relationship-management function.
Drive high-quality stakeholder interactions, client satisfaction, and the volume and quality of inbound AI opportunities.
Promote consistent AI messaging, engagement methods, and workshop facilitation standards.
Apply AI frameworks to identify automation, optimization, and augmentation opportunities.
Develop documentation and design blueprints that connect business needs to technical execution.
Align strategic goals and business processes with AI delivery roadmaps.
Align engagement priorities with delivery capacity and be accountable for the aggregate outcomes of AI Delivery-led teams.
Monitor business impact, delivery health, and outcome achievement, ensuring initiatives produce measurable improvements.