Associate Director, BI&T Technical Engineering Lead - Analytics & AI, Drug Development

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Summary:

The Technical Engineering Lead is responsible for the technology strategy, architecture, delivery, and lifecycle management for analytics and AI capabilities supporting Clinical Operations — anchored today in GDO Workbench, with a remit that extends to analytical and AI needs surfacing elsewhere across Drug Development.

This role serves as the senior technology leader partnering with Global Development Operations and BI&T leadership to deliver digital solutions that improve study execution, increase operational efficiency, enable AI-driven decision making, and accelerate the delivery of medicines to patients.

The successful candidate will lead a matrixed team of architects, engineers, data specialists, and vendor partners while driving platform modernization, enterprise integration, and AI-enabled innovation across Clinical Operations.

Key Responsibilities:

Product & Technology Leadership:

• Define and execute the technology strategy and roadmap for Clinical Operations Intelligence platforms.

• Partner with business, product, and digital leaders to translate strategic priorities into technology solutions.

• Drive innovation through analytics, AI, automation, and digital capabilities.

• Ensure technology investments deliver measurable business value and user adoption.

• Serve as the trusted advisor for platform capabilities, scalability, and future direction.

Architecture & Platform Strategy:

• Own the target-state architecture for GDO Workbench and related platforms.

• Lead platform modernization and technology transformation initiatives.

• Define architecture across applications, data, analytics, cloud, and integrations.

• Drive decisions related to platform convergence, data architecture, and enterprise integration.

• Ensure solutions align with enterprise technology, security, and data standards.

Delivery & Engineering Leadership:

• Lead cross-functional teams responsible for design, development, testing, deployment, and support.

• Provide technical leadership across multiple product pods and development workstreams.

• Establish delivery governance and release management processes.

• Drive execution excellence through Agile product delivery and engineering best practices.

• Balance innovation, stability, technical debt reduction, and operational efficiency.

Data, Analytics & AI Enablement:

• Partner with Data Products and enterprise data teams to deliver integrated data and analytics solutions.

• Enable AI-driven insights, intelligent recommendations, automation, and decision-support capabilities.

• Drive adoption of modern data platforms and scalable analytics architecture.

• Support self-service analytics and next-generation digital user experiences.

Stakeholder & Governance Leadership:

• Build strong partnerships across Global Development Operations, BI&T, R&D, and enterprise technology teams.

• Present technology roadmaps, architecture recommendations, risks, and investment opportunities to senior leadership.

• Lead governance discussions supporting platform strategy, prioritization, and investment decisions.

• Influence outcomes across highly matrixed organizations and external partners.

Quality, Compliance & Risk Management:

• Ensure all solutions meet BMS quality, security, privacy, compliance, and regulatory requirements.

• Establish governance processes supporting architecture, development, release management, and operations.

• Drive continuous improvement in engineering quality and operational excellence.

• Identify and proactively mitigate technology and business risks.

Qualifications Required:

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or related field.

• 12+ years of experience leading technology platforms, digital products, or enterprise applications.

• 5+ years of leadership experience managing cross-functional technology teams.

• Proven experience developing and executing technology roadmaps.

• Experience leading large-scale digital transformation initiatives.

• Strong executive communication and stakeholder management skills.

Preferred:

• Advanced degree in Computer Science, Engineering, Business, or related discipline.

• Experience in Pharmaceutical, Biotechnology, Clinical Development, or Life Sciences organizations.

• Experience with cloud platforms, data platforms, analytics, and AI-enabled solutions.

• Experience leading Agile product development organizations.

• Experience managing strategic technology vendors and consulting partners.

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