OverviewAt Lilly, we unite caring with discovery to make life better for people around the world.
Lilly Small Molecule Discovery applies leading science and technology to discover and advance new medicines.
Discovery Technology & Platforms (DTP) accelerates molecule discovery through advanced scientific platforms, data connectivity, software engineering, and emerging technologies. DTP brings science and technology together to strengthen scientific workflows and enable increasingly data- and AI-driven discovery.
Within DTP,
Data Foundry brings together complementary capabilities across
architecture, scientific methods, scalable engineering, and scientific data preparedness to make scientific data more connected, reusable, and ready for advanced analytics and AI.
Position SummaryWe are seeking a
Senior Director, Scientific Data Preparedness to lead efforts to strengthen the foundations that enable effective use and reuse of scientific data across scientific workflows. The role will establish strategies and practices for
data harmonization, metadata and semantic standards, information flow modeling, AI readiness, and integration with Lilly's enterprise data ecosystem.
As part of
Architecture4Insight, this leader will partner closely with
Methods4Insight and Scale4Insight and engage broadly across Lilly's scientific and technology organizations to ensure scientific data is prepared to support computational, analytical, and AI-enabled discovery.
This role combines team and capability leadership with hands-on technical engagement and requires a
player-coach who can build and develop teams, influence strategy, and drive execution across a complex scientific and technology landscape.
Key ResponsibilitiesCapability & Team Leadership- Build, develop, and coach the team responsible for Scientific Data Preparedness.
- Establish capability roadmaps, investment priorities, and operating mechanisms.
- Serve as a senior member of the Architecture4Insight leadership team.
Scientific Data Harmonization- Define the strategy for harmonizing scientific data and metadata across Molecular Discovery.
- Establish standards that improve interoperability, data quality, and reuse.
- Partner with data architecture and platform teams to enable a consistent scientific information ecosystem.
Information Flow & AI Readiness- Define end-to-end information flow models across scientific processes, systems, and data products.
- Develop frameworks and assessment approaches for scientific data and AI readiness.
- Identify and prioritize opportunities to improve data accessibility and readiness for AI-enabled use.
Enterprise Integration & Stewardship- Shape and advance integration of discovery data assets with Lilly's enterprise data environment.
- Establish stewardship practices and accountability models for critical scientific information.
- Partner with enterprise technology and data organizations to align standards, platforms, and governance processes.
Player-Coach Leadership- Provide hands-on leadership for strategic Scientific Data Preparedness initiatives.
- Guide and develop teams and technical leaders through complex scientific data and information challenges.
- Serve as a trusted advisor to scientific, technical, and business stakeholders.
Basic Requirements- BS or higher degree in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field.
- Ph.D. with 6+ years, M.S. with 8+ years, or B.S. with 10+ years of relevant experience.
- Demonstrated experience leading complex scientific data, information management, data integration, or digital transformation initiatives.
- Demonstrated leadership in defining and delivering AI-ready scientific data products, with hands-on experience applying ontologies, metadata standards, and data governance policies to make data trusted, interoperable, and reusable.
Preferred Qualifications- Experience in pharmaceutical, biotechnology, life sciences, or research-intensive environments.
- Expertise in scientific data management, harmonization, metadata, governance, information architecture, or AI/data readiness.
- Demonstrated success building, leading, and developing high-performing technical teams.
- Exceptional leadership, communication, and organizational influence skills.
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$177,000 - $281,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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