Associate Director - Clinical Data Lead

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life‑changing medicines, strengthen how health is understood and managed, and support the communities we serve.

This is hard, urgent, selfless work—but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

The Clinical Data Lead is a Data and Analytics technical leader and key partner with other Data and Analytics Leaders and Directors. The Clinical Data Lead is accountable for technical leadership in the execution of global clinical data management work, driving prioritization and alignment of study deliverables and realizing improvements in clinical data management activities and processes. The scope of the Clinical Data Lead role includes elements of clinical research from early clinical development to post launch clinical research activities.

The Clinical Data Lead is responsible for coaching and developing staff to enhance scientific, technical and operational depth. This role requires an in depth understanding of global clinical data management, including data collection, data flow management, data quality & integrity, data technology, data archiving, data standards and data submission.

• Portfolio Delivery Technical contributor that leads in the delivery of clinical data execution
• Accountable for the completeness, accuracy and consistency of data to meet the standards of quality expected for reporting to regulatory bodies
• Partner with other clinical leaders to provide proactive strategic scientific and technical input on clinical data planning and execution that enable efficient delivery of these data
• Contribute to project decisions related to global clinical data execution options
• Ensure strong linkages exist between study build execution analytics and archival
• Operationally responsible for the clinical data management activities related to the effective planning for study startup and execution
• Partner closely with Data and Analytics leadership and other functions to effectively plan forecast and manage the end‑to‑end global clinical data management validation study build and filing/archiving resources required to deliver all sanctioned projects
• Drive efficiency and continuous improvement in the Data and Analytics organization
• Identify key functional capability gaps early enough to help ensure robust processes in place to meet team needs and/or manage expectations to avoid downstream delivery delays
• Lead large‑scale cross Business Unit Therapeutic Area projects or programs with high complexity
• Enterprise Leadership Within functional and cross‑functional teams, exhibit strong business acumen strong problem‑solving skills and agility to adjust to changing business priorities and needs
• Represent the Data and Analytics organization at appropriate internal and external venues
• Maintain awareness of regulatory requirements, particularly those related to the US EU Japan and China
• Accountable for fiscal responsibility of execution of clinical data plans
• Ensure that activities are performed according to established guidelines best practices and in compliance with all laws and regulations
• Drive continuous improvement of key performance metrics
• Drive shared learning and end to end process expertise
• Proactively drive the use of data processes and tools to accelerate clinical data management activities and deliverables
• Bring greater value to the portfolio by anticipating issues identifying opportunities and leading technical solutions
• Articulate the value of data solutions in terms of reliability time cost quality and scalability
• Integrates cross functional and/or external information and applies technical knowledge to data‑driven decision making
• Anticipate and resolve key technical operational or…