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

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. 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. 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. Leadership Competencies
• Strategic mindset with strong business acumen.
• Ability to influence across complex matrix organizations.
• Strong product and customer orientation.
• Exceptional collaboration and communication skills.
• Demonstrated ability to lead through ambiguity and organizational change.
• Passion for innovation, talent development, and continuous improvement