“Head of Clinical Data Engineering & Programming

Accountabilities:

• • Define and lead the end-to-end programming strategy across clinical studies, development programs, and portfolios, aligning technical priorities with broader business and delivery objectives.
  • Provide executive oversight of programming deliverables, including datasets, listings, tables, figures, statistical outputs, and other study-level materials.
  • Establish governance, quality standards, and operating practices that promote consistency, compliance, inspection readiness, and reliable delivery across programming activities.
  • Serve as the senior technical authority for complex programming challenges, standards, delivery risks, and critical decision-making.
  • Build and lead a high-performing global programming organization, establishing organizational design, resource strategies, succession plans, and capability development programs.
  • Set clear priorities, performance expectations, and governance mechanisms while fostering a culture of accountability, collaboration, innovation, and continuous improvement.
  • Coach, mentor, and sponsor technical and business leaders to strengthen the organization's leadership pipeline and long-term capabilities.
  • Establish strategic direction for programming standards, validation frameworks, reusable assets, and modern delivery methodologies.
  • Strengthen data integrity, traceability, documentation, audit readiness, and regulatory submission preparedness throughout the programming lifecycle.
  • Guide strategic decisions involving SAS, R, Python, and emerging clinical data technologies, maintaining sufficient technical depth to address complex challenges.
  • Champion automation, AI, digital enablement, and process simplification initiatives that improve productivity, quality, scalability, and delivery speed.
  • Partner with Biostatistics, Clinical Data Management, Clinical Operations, Medical Writing, Regulatory, Quality, Technology, and study leadership to align programming priorities with portfolio needs.
  • Represent programming leadership in governance forums, strategic planning activities, and executive-level decision-making.
  • Manage strategic relationships with customers, sponsors, CROs, external partners, and other stakeholders, ensuring transparency, accountability, and high-quality delivery.
  • Evaluate data, performance metrics, market developments, and emerging technologies to guide investment decisions, innovation priorities, and operating-model evolution.
  • Ensure programming capabilities support customer expectations and create measurable differentiation through technical excellence, efficiency, and strategic value.
  • Track success through consistent delivery, regulatory confidence, operational scalability, automation progress, talent development, and strong cross-functional partnerships.

  Requirements:

  • Advanced degree or equivalent professional experience in statistics, biostatistics, computer science, mathematics, life sciences, or a related discipline.
  • Extensive leadership experience spanning statistical programming and clinical data programming within pharmaceutical, biotechnology, CRO, or a comparable life sciences environment.
  • Demonstrated success leading global, matrixed, high-performing technical organizations with responsibility for strategy, delivery, talent, and operational performance.
  • Strong knowledge of clinical trial delivery, regulatory expectations, submission processes, programming standards, and relevant industry requirements.
  • Deep technical credibility across clinical programming environments, with working knowledge of technologies such as SAS, R, Python, and emerging clinical data platforms.
  • Proven ability to combine enterprise-level strategic thinking with hands-on technical judgment when addressing complex or high-risk challenges.
  • Experience developing scalable operating models, programming standards, validation frameworks, reusable assets, and automation strategies.
  • Demonstrated ability to lead transformation initiatives involving automation, AI, digital technologies, standardization, and process optimization.
  • Strong executive presence and communication skills, with the ability to influence senior stakeholders, customers, sponsors, and cross-functional leadership teams.
  • Excellent organizational and operational judgment, including experience with resource planning, performance management, governance, and delivery risk management.
  • Strong commercial and business acumen, with the ability to balance technical excellence with customer value, resource optimization, delivery efficiency, and organizational growth.
  • Strategic, transformational leadership style combined with strong execution discipline, accountability, and commitment to quality and compliance.
  • Ability to build trusted relationships across global, cross-functional, and matrixed environments while fostering collaboration and innovation.

  Benefits:

  • Opportunity to lead an enterprise-level clinical data engineering and programming organization with significant strategic and operational impact.
  • Exposure to complex clinical development programs, regulatory requirements, advanced analytics, automation, AI, and emerging technologies.
  • Ability to shape the future operating model, technical capabilities, talent strategy, and innovation agenda for a global programming organization.
  • Collaborative environment with senior partnerships across Clinical Operations, Biostatistics, Data Management, Regulatory, Quality, Technology, and other functions.
  • Opportunities to influence strategic decisions and work directly with senior executives, customers, sponsors, and external partners.
  • Career growth through enterprise leadership, organizational transformation, and ownership of high-visibility strategic initiatives.
  • Standard Monday–Friday work schedule in an office environment.
  • Comprehensive employment benefits and professional development opportunities, subject to the applicable employment package and eligibility requirements.