Executive Director, AI Delivery Management

MSD•Rahway, NJ

4d•$231,900 - $365,000•Hybrid

About The Position

The Executive Director (ED) of AI Delivery Management is a senior member of APEX’s leadership team, reporting directly to the Associate Vice President of AI Execution & Process Intelligence Delivery. The ED sets the vision and strategy for the engagement and delivery management function, serves as an internal catalyst for applied AI, and leads the team responsible for day-to-day execution of APEX’s core business engagements. The role is accountable for APEX’s AI delivery methodologies, engagement lifecycle management, portfolio governance, customer engagement satisfaction, opportunity identification, and harvesting engagement learnings. The ED ensures teams prioritize the right work, deliver AI solutions, and accelerate adoption and business impact. The ED oversees approximately 30 full-time employees distributed across technology centers, as well as contractors as needed. The position is hybrid in Rahway, New Jersey, and requires willingness and ability to travel up to 25%. The role’s salary range for the primary location is $231,900 to $365,000, with eligibility for an annual bonus and long-term incentive, if applicable.

Requirements

Bachelor’s degree required.
At least 15 years of progressive leadership experience in software development or related functions, with a demonstrated progression to senior leadership.
At least 5 years leading managers or other people 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 exposure to 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.
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 distributed teams.
Expert critical thinking and problem-solving skills, with the ability to explain complex technical and business trade-offs clearly and persuasively.
Proficiency in financial valuation, ROI analysis, and risk assessment for technology investments.
Excellent verbal and written communication skills, including explaining complex AI concepts in accessible terms and producing clear written materials.
Skill in designing decision frameworks and governance for prioritizing competing opportunities.
Experience managing across geographies.
Ability and willingness to travel up to 25%.
Required skills listed: Audit Management, Business Alignment, Business Decisions, Business Process Improvements, Collaborative Leadership, Data Modeling, Delivery Management, Enterprise Leadership, Executive Presence, Governance Management, Information Systems Strategy, Lateral Thinking, Leadership Management, Partner Relationship Management (PRM), Product Delivery, Product Management, Product Ownership, Quality Assurance (QA), Situational Leadership, Stakeholder Management, Stakeholder Relationship Management, Strategic Alignment, Strategic Objectives, and Strategic Thinking.

Nice To Haves

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

Responsibilities

Translate the AVP’s vision into actionable priorities for product, portfolio, engagement, and innovation efforts, and serve as APEX’s overall AI engagement execution lead.
Provide executive counsel and represent APEX in cross-IT divisional strategy sessions.
Drive adoption of ethical, safe, and value-driven AI practices across product development, portfolio management, and client engagements.
Lead and mentor day-to-day leaders managing APEX delivery engagements; build a high-performing team capable of scaling APEX’s capabilities.
Oversee a department of approximately 30 full-time employees across geographically dispersed technology centers, and manage employees and contractors as needed.
Foster servant leadership, psychological safety, inclusion, and continuous learning across distributed teams.
Own talent strategy, including recruiting, developing, and retaining leaders and high-potential practitioners.
Ensure Product Management for AI Solutions and other APEX-owned AI products establishes clear product strategy, roadmaps, market and enterprise fit, and lifecycle management.
Champion product-led thinking and provide product management as a service to other divisions, ensuring practices are consistent, measurable, and outcome-focused.
Align product metrics to business value and ensure robust requirements, user-experience design, and go-to-market readiness.
Lead demand management to triage, prioritize, value, and align work across the APEX portfolio.
Own prioritization frameworks and investment decision criteria that balance risk, return, strategic alignment, and capacity.
Ensure transparent portfolio reporting, clear intake processes, and effective stage-gate governance for timely executive decisions.
Oversee the engagement team as APEX’s first-line consulting, awareness, and relationship-management function.
Drive high-quality stakeholder interactions, client satisfaction, and the volume and quality of inbound AI opportunities for APEX.
Promote consistent messaging, engagement methods, and workshop facilitation standards.
Apply process intelligence frameworks to identify automation, optimization, and augmentation opportunities.
Develop documentation and design blueprints connecting business needs to technical execution.
Ensure alignment among strategic goals, business processes, and AI delivery roadmaps.
Align engagement priorities with delivery capacity and be accountable for aggregate outcomes delivered by AI Delivery-led teams.
Monitor business impact, delivery health, success, and outcome achievement, ensuring initiatives produce measurable improvements to efficiency, growth, or patient outcomes.
Travel up to 25% to meet divisional partners, sponsor workshops, and lead teams across multiple geographies.