Associate Director, Engineering Lead, Clinical Engineering & Operations

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

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Position Summary:

We are seeking an Associate Director to serve as a technology leader in an AI‑first, agile product team supporting Global Development Operations (GDO). This role is accountable for technology direction and oversight in designing, building, and operating AI‑native products where large language models, agentic workflows, and data‑driven intelligence are the default approach to solving business problems—not an add‑on.

The ideal candidate brings deep hands‑on engineering expertise and proven experience delivering production‑grade Generative and Agentic AI solutions in a regulated environment. This individual will shape how products are designed, developed, delivered, and continuously improved, embedding AI into core workflows to augment decision‑making, automate execution, and scale impact across GDO. The role combines strong full‑stack engineering capabilities with AI product thinking, technical roadmap ownership for an entire product line consisting of multiple products, and close partnership with product managers and business stakeholders to deliver measurable outcomes for patients and business.

The role provides cross‑product technical leadership, making design decisions, building reusable capabilities, and long‑term technical strategy through expertise, collaboration, and hands‑on contribution.

Specific responsibilities:

• Develop and maintain an AI‑first technology strategy for all the products within a product line, making build‑vs‑buy decisions, model selection, and building capabilities in alignment with product vision and business outcomes.
• Accountable for building reusable, scalable platforms and intelligent agents with a strong security and compliance foundation.
• Establish AI guardrails and best practices to enable developers to build production-grade applications in a regulated environment.
• Accountable for budget forecasting and financial stewardship for the product line, including identifying cost efficiencies.
• Establish and enforce standardized CI/CD practices to be followed by developers across all products
• Partner with product managers and GDO stakeholders to identify opportunities where AI can augment human decision‑making, automate execution, and create step‑change improvements in clinical and operational workflows.
• Design, develop, and maintain scalable, stable, reliable, and secure applications using Python/Java/Node JS and modern frontend frameworks like React JS.
• Design LLM‑native and agentic systems as long‑lived products, incorporating human‑in‑the‑loop patterns, continuous learning, monitoring, and governance as part of the standard operating model. Frameworks include OpenAI, AWS Bedrock, and LangChain.
• Incorporate microservices, APIs, MCPs, event-driven processes, and middleware within enterprise systems.
• Use critical thinking to investigate issues with systems and data, and identify solutions for short-term remediation and long-term strategy.
• Ensure compliance with data governance, privacy, and security standards.

Requirements:

• Must have a minimum of 15 years of strong experience in software engineering; Pharma/Life Sciences experience is a plus.
• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Must have a demonstrated track record implementing complex technical solutions, developing software applications following SDLC processes in a regulated and agile environment. 
• Proven abilities to plan, manage, deliver, and support applications, from concept initiation through delivery and steady-state operations.
• Demonstrated competency in exec