Associate Director of AI Delivery Management

Key Responsibilities

Hands-on Delivery Execution Management

• Serve as the E2E Delivery Lead for complex engagements, such as those with several build teams or vendors, enterprise system integrations, or validated (GxP) or high-risk AI solutions, owning scope, plan, budget, business value and the customer relationship.
• Build the team for each engagement from Mosaic (process intelligence, business analysis and UX), the Build shop (engineering, solution architecture and data science) and teams outside APEX, and lead it day to day in a matrix.
• Run engagements through the delivery playbook stages and exit checks, demonstrate working software every two to three weeks, and set and hold an input cutoff for each release.
• Plan go-live and hand-over, covering deployment, cutover, support model, training and acceptance by the IT owner and run team.
• Validate results with the customer before release, weigh release risk openly, and make the call to escalate or delay when a release is not ready.

Technical and SDLC Oversight

• Govern the full SDLC for your engagements, including requirements, design reviews, build, testing, release, deployment and the validation deliverables required for regulated solutions.
• Bring the technical depth to challenge architecture, integration, data, security and non-functional choices on AI solutions, such as agents, retrieval-augmented generation, machine learning models and cloud services, and to explain trade-offs to executives.
• Drive reuse of existing products, agents and components, and apply APEX frameworks and standards for quality, security, privacy and responsible AI.

Engagement & Client Partnership

• Act as the face of AI for your customers, building trusted relationships at director and executive level and taking accountability for their satisfaction.
• Lead discovery and design thinking when customers need help defining the problem, and connect business needs to technical execution through clear documentation and design blueprints.
• Apply AI frameworks to identify automation, optimization and augmentation opportunities, and feed new opportunities into the APEX pipeline.

Portfolio, Governance & Financials

• Own engagement budgets, forecasts and business cases, and track the value realized after hand-over.
• Support APEX demand management with triage, sizing and valuation of incoming requests, and recommend priorities and trade-offs when demand exceeds capacity.
• Provide transparent reporting through a weekly Jira update for the APEX leadership team, and keep stage-gate decisions timely.

Leadership & Coaching

• Lead multidisciplinary teams of employees and contractors across our tech centers, and manage vendor delivery where it applies.
• Coach and mentor Specialist and Senior Specialist E2E Delivery Leads, and share lessons learned and reusable practices across the team.
• Foster a culture of servant leadership, psychological safety, inclusion and continuous learning.

Decision Rights and Support

• You decide the delivery approach, plan, team requests and release recommendation for your engagements, within the scope agreed with the customer.
• You agree scope and priority changes with the business sponsor and product owner, and technical design choices with the Build shop's solution architects.
• You escalate capacity conflicts and cross-team blockers to APEX demand management and the APEX leadership team, and you are an escalation point for other E2E Delivery Leads.
• Where the customer leads the business side, you remain accountable for the delivery plan, risks, readiness and hand-over, and record who does what in the engagement charter.
• You lead the work without doing every job: Mosaic provides business analysis, process intelligence and UX, and the Build shop provides engineering, solution architecture and data science.

Education

Bachelor's degree in Computer Science, Engineering, Information Systems or a related field required; advanced degree preferred (MBA, MS in AI/ML, Computer Science or a related field).

Required Experience and Skills

• Minimum 10 years of progressive experience in software development and delivery, in roles such as technical project or program manager, engineering lead, solution architect, developer or test lead.
• At least 5 years leading end-to-end delivery of software, data or AI projects and programs into production, including hand-over to operations.
• Recent track record (3+ years) of delivering AI, machine learning, generative AI or intelligent automation solutions with measurable business impact.
• Deep knowledge of the SDLC, agile delivery, release management and IT service transition, and strong familiarity with agile, product and portfolio management practices and tools.
• Experience managing budgets, forecasts and business cases for technology investments.
• Experience leading multidisciplinary, geographically distributed teams, including contractors and vendors, in a matrix organization.
• Strong relationship-building, influencing and facilitation skills with senior business and IT leaders.
• Excellent communication skills, with the ability to translate complex AI concepts into plain language and produce clear written artifacts.

Preferred Experience

• Delivery of validated (GxP) systems in pharmaceutical, life sciences or another regulated industry.
• Project, program or agile certification (for example PMP, PgMP, PMI-ACP or SAFe).
• Product management experience, including roadmaps, adoption and value measurement.
• Hands-on use of Jira and Confluence, and of cloud AI platforms such as AWS or Azure.

Location & Travel

Hybrid out of Rahway, New Jersey, working with customers and teams across US and European time zones. Occasional travel.