About this role
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description
Head of Clinical Data Engineering & Programming This executive leadership role provides enterprise-level accountability across Statistical Programming and Clinical Data Programming, integrating deep technical expertise with strategic, operational, and talent leadership. The position is responsible for shaping a scalable, future-ready programming organization that consistently delivers high-quality study outcomes, enables regulatory confidence, advances standardization and automation, and strengthens the organization’s strategic differentiation. 1. Position Summary
• Strategic mandate and enterprise value of the role • Leadership scope spanning Statistical Programming and Clinical Data Programming • Integration of strategic oversight with hands-on technical credibility • Reporting structure and organizational significance 2. Key Responsibilities
• Set and lead the end-to-end programming strategy across clinical studies, programs, and portfolios • Provide executive oversight for the development and delivery of programming outputs, datasets, listings, tables, figures, and study-level deliverables • Establish a high-performance environment that ensures consistency, quality, compliance, and inspection readiness across programming activities • Serve as the senior technical authority for complex programming challenges, standards, and delivery risk resolution • Shape strong cross-functional partnership with Biostatistics, Clinical Data Management, Medical Writing, Regulatory, and study leadership • Champion standardization, automation, and modern technology adoption to improve delivery effectiveness and scalability • Provide governance and strategic oversight of external partners, CRO relationships, and flexible delivery models 3. Leadership and Team Management
• Build and lead a high-performing, future-ready programming organization with strong succession and capability depth • Define organizational design, capability strategy, and resource planning to support business growth and delivery resilience • Set clear strategic priorities, performance expectations, and governance mechanisms to drive operational excellence • Develop leadership bench strength through active coaching, mentoring, and sponsorship of technical and business talent • Foster a culture of accountability, collaboration, and innovation across global, matrixed, and cross-functional teams 4. Technical and Operational Excellence
• Set the strategic direction for programming standards, validation frameworks, and reusable delivery assets • Ensure sustained regulatory submission readiness and alignment with applicable industry and customer standards • Strengthen data integrity, traceability, audit readiness, and documentation rigor across the programming lifecycle • Maintain technical relevance across SAS, R, Python, and emerging clinical data technologies to guide strategic decisions and complex problem-solving • Advance simplification, productivity, and automation strategies that improve quality, speed, and scalability 5. Cross-Functional Collaboration
• Serve as a senior partner to clinical operations, biostatics, data management, regulatory, quality, and technology stakeholders • Represent programming leadership in governance forums, strategic planning, and executive decision-making discussions • Align programming investment and execution priorities with portfolio needs, delivery commitments, and business objectives • Engage credibly with customers, sponsors, and executive stakeholders to strengthen trust, transparency, and strategic partnership 6. Qualifications and Experience
• Advanced degree or equivalent experience in statistics, biostatistics, computer science, mathematics, life sciences, or a related discipline • Extensive leadership experience across statistical programming and clinical data programming within pharma, biotech, or CRO environments • Demonstrated success leading global, matrixed, and high-performing technical organizations • Strong command of clinical trial delivery, regulatory expectations, and applicable industry standards • Proven ability to integrate strategic leadership with deep technical credibility and operational judgment 7. Preferred Leadership Attributes
• Strategic enterprise thinker with strong execution discipline and operational rigor • Hands-on executive leader with the judgment to engage deeply where complexity or risk requires • Influential communicator with executive presence and the ability to align senior stakeholders • Transformational leader who can modernize operating models and accelerate innovation • Strong commitment to quality, compliance, talent stewardship, and customer impact 8. Innovation and Business Acumen
• Identify and advance strategic opportunities to modernize programming through automation, AI, and digital enablement • Translate enterprise priorities into scalable programming strategies that enhance value, speed, quality, and differentiation • Balance technical excellence with commercial discipline, resource optimization, and delivery efficiency • Strengthen organizational differentiation by building capabilities valued by customers, sponsors, and internal stakeholders • Use data, performance metrics, and market insight to guide investment decisions, innovation priorities, and operating model evolution 9. Success Measures
• Consistent delivery of high-quality programming outcomes aligned to study, portfolio, and customer commitments • Sustained regulatory confidence, inspection readiness, and submission excellence • Measurable progress in standardization, productivity, automation, and operational scalability • A strong, engaged, and scalable leadership and technical talent pipeline • Trusted cross-functional partnership and visible business impact across the organization