Senior Director, Global Development Technology Solutions
$207,800–$277,800 year
RemoteUnited States
United StatesRemoteFull Time$207,800–$277,800 yearSenior LevelLarge
Full TimeSenior LevelLarge
Job Summary
Define and own a multi-year Digital & Technology Roadmap for the Clinical Development organization, translating complex scientific needs into prioritized data and technology requirements. Oversee end-to-end processes for externally developed systems, from vendor selection and assessment through deployment, while managing the technology portfolio budget and ensuring alignment with enterprise architecture and compliance mandates. Lead a high-performing team to drive digital transformation initiatives, including automation and embedded AI/ML, and enforce rigorous data governance standards for third-party platforms. Collaborate with Clinical Operations, Safety, and Regulatory functions to enable scientific milestones, manage change management programs for digital adoption, and continuously scan the external landscape for innovative solutions.
Required Qualifications
- 12+ years of professional experience in data, digital & information technology with direct oversight and experience in / for the Clinical Development-related area in the Pharmaceutical, Biotechnology, and/or Medical Device industries
- 7+ years of proven leadership experience at a senior level, directing a team of multi-skilled direct reports and associate-level team members
- 7+ years combined experience in design, deployment, & support of Clinical Development function focused digital transformation of processes, platforms, systems, software, repositories etc.
- Strong experience in ML/AI/genAI methods and technologies to support the Clinical Development function
- Business relationship management acumen and demonstrable success as a change agent leading or contributing to significant transformational initiatives in organizations
- Strong experience with software lifecycle methodologies, 21CFR Part 11 compliance, and GxP computer systems validation (CSV), ICH guidelines
- Accomplished in building and development of people and teams, comfortable working with a broad cross section of people in direct and matrixed relationships
- Proficient in various project management disciplines (i.e., Agile, Scrum, Kanban, Lean etc.)
- Bachelor or above
- Some travel expected as part of assigned duties
- Deep end-to-end pharma / biotech Clinical Development domain knowledge
- Technical expertise related to digital & technology systems, processes, data science, analytics, AI, & genAI
- Strong experience in cloud/SaaS environments
- Ability to manage multiple projects across different sub-functions in a global, geographically diverse environment
- Building and sustaining teams in times of ambiguity
- Deep end-to-end understanding of the pharmaceutical research and development value chain
- Conceptual grasp of modern data science paradigms, including machine learning lifecycle, foundational models, and 'AI-ready data' requirements
- Treating digital platforms as evolving products rather than static IT projects, focusing on iterative delivery and user-centric design
- The ability to simplify dense technical architectures for scientific leadership and articulate deep scientific constraints to engineering squads
- Proven ability to recruit, mentor, and inspire a diverse, high-performing team members
- Skilled at fostering a culture of psychological safety, continuous learning, and cross-functional empathy between tech and science
- Fluency in 'scientific domain speak' to accurately translate complex scientific workflows into structural, technical software and data requirements
- Navigating a matrixed environment to align disparate development functions, internal IT groups, and external vendors around unified platform standards
- Managing the end-to-end delivery of digital solutions for the development function—from initial scoping and vendor selection through deployment and value realization
- Balancing disruptive horizontal technologies (e.g., Generative AI, RAG frameworks) with the stabilization of foundational development platforms
- A deep end-to-end understanding of the pharmaceutical research and development value chain
- Conceptual grasp of modern data science paradigms, including machine learning lifecycle, foundational models, and 'AI-ready data' requirements
- Treating digital platforms as evolving products rather than static IT projects, focusing on iterative delivery and user-centric design
- The ability to simplify dense technical architectures for scientific leadership and articulate deep scientific constraints to engineering squads
- Proven ability to recruit, mentor, and inspire a diverse, high-performing team members
- Skilled at fostering a culture of psychological safety, continuous learning, and cross-functional empathy between tech and science
- Fluency in 'scientific domain speak' to accurately translate complex scientific workflows into structural, technical software and data requirements
- Navigating a matrixed environment to align disparate development functions, internal IT groups, and external vendors around unified platform standards
- Managing the end-to-end delivery of digital solutions for the development function—from initial scoping and vendor selection through deployment and value realization
- Balancing disruptive horizontal technologies (e.g., Generative AI, RAG frameworks) with the stabilization of foundational development platforms
Desired Qualifications
- Adapt communication cadences and problem-solving skills to accommodate stakeholders, partners, and team members
- Exercise diplomacy and effective influence to reach consensus
- Build strong relationships
- Order to Cash
- Procure to Pay
- Supply Chain
- Customers
- Suppliers
- Clinical Operations
- Regulatory
- Safety
- Clinical Development
- Pharmacology
- Generative AI
- RAG frameworks
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.