Associate Director, Delivery Lead

Novartis•Cambridge, MA

2d•$152,600 - $283,400•Hybrid

About The Position

Ready to shape the future of Biomedical Research through cutting-edge AI and compute innovation? As a Delivery Lead in the Compute & AI Delivery Segment, you will drive the delivery and adoption of new and significantly enhanced informatics capabilities for Biomedical Research, while leading a high-performing, cross-functional matrix team. Delivery is achieved through predictable, high-quality and time-bound initiatives aligned to enterprise priorities and architecture. The Delivery Lead role is instrumental in prioritising, planning and executing initiatives, including release, scaling and transition to operations. You will ensure alignment with architectural, security and compliance standards, while playing a central role in enabling innovative value creation for Biomedical Research through strong delivery leadership and stakeholder engagement.

Requirements

Proven track record of delivering complex initiatives in the Agentic AI, Machine Learning Operations and/or High-Performance Compute domain, with 5+ years of experience delivering artificial intelligence and high-performance compute platforms.
Strong project management capabilities, especially prioritisation, planning, execution, communication, and risk management.
Experience leading cross-functional matrix teams.
Demonstrated ability to manage diverse stakeholder groups, with strong communication skills and the ability to serve as a trusted delivery partner.
Strong background with AI Agents, Agentic platforms, Machine Learning Operations and High-Performance Compute platforms.
Broad and deep expertise in scientific software, data management, and AI-enabled digital capabilities.
Skilled in structured problem-solving, experimentation, and modern delivery practices.
Ability to drive urgency, accountability, and high-performance delivery behaviors.

Nice To Haves

Formal training in project management methodologies such as Project Management Professional or Certified Scrum Master
Experience working within pharmaceutical, biotechnology, or scientific research environments
Algorithms
Computer Programming
Computer Science
Computer Vision
Data Science
People Management
R&D (Research And Development)
Solution Design
Waterfall Model

Responsibilities

Accountable and own the outcomes of the High-Performance Compute, Machine Learning Operations and AI capabilities, including establishing an AI Agent ecosystem, together with your delivery segment, by translating domain needs into initiative proposals and the delivery of such.
Enable and expand Agent Mesh and Compute capabilities for Biomedical Research, including establishing the vision, value proposition, and strategic roadmap in alignment with business priorities and organisational objectives.
Own the creation, delivery, and lifecycle transition of domain-specific software and assigned initiatives, including prioritisation, planning, supplier selection, execution, rollout/scaling, and transition to operations.
Drive predictable planning and execution across initiatives within scope, time, and budget, and in alignment with business stakeholders, adjacent initiatives, and Data & Digital functions.
Provide delivery-segment prioritisation and investment input to support strategic decisions and focus on high-value initiatives
Lead cross-functional matrix teams (internal/external), coordinate resources, define responsibilities, and ensure aligned execution across all delivery functions and vendor interfaces
Proactively manage expectations and escalate issues, risks, or dependencies appropriately, and act as the primary delivery interface, to ensure orchestration and manage trade-offs across initiatives
Communicate progress, challenges, successes, and outcomes clearly to stakeholders and the wider organisation.
Ensure all initiatives deliverables align with architectural standards, security guidelines, and our initiative governance model
Establish and maintain close relationships with other functions in Data & Digital as well as in corporate IT to collaborate on the delivery and improvement of corporate-owned platforms that serve Biomedical Research needs.