Solution Manager Clinical Tech Data Management
Listed on 2026-07-30
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IT/Tech
IT Business Analyst, Change Management, AI Business & Operations
Position Summary
The Solution Manager provides strategic leadership across a portfolio of commercial, third‑party, and internally built software solutions supporting Clinical Data Management, operating with full autonomy across vendor strategy, solution architecture guidance, stakeholder alignment, and enterprise configuration governance. At the P4 level, the role makes decisions that impact the function, drives solutions across the data management area, and influences complex technical and business issues.
It holds Product Owner accountability for internally built capabilities—integrations, APIs, RPA, agentic workflows, agents, and data products—while maintaining vendor governance for commercial platforms. Consistent with Lilly’s technology direction, the role is technically hands‑on and deeply AI‑skilled, driving responsible adoption of AI and agentic capabilities across the data management ecosystem.
Own portfolio strategy and lifecycle for Clinical Data Management across commercial platforms and internally built capabilities, ensuring sustained business value.
Serve as accountable Product Owner for internally built capabilities, owning backlog, prioritization, sprint ceremonies, and stakeholder demos, with working knowledge of the underlying technologies.
Lead vendor and platform strategy, including make‑vs‑buy decisions, Q governance, vendor rationalization, and contract strategy with procurement and legal.
Drive responsible adoption of AI, agentic workflows, and intelligent automation, ensuring readiness, compliance, and measurable impact.
Define and govern configuration and release management—platform setup, environment standards, promotion controls, CI/CD, deployment governance, and rollback—combining hands‑on configuration with deep technical expertise.
Drive Agile delivery with engineering and platform teams to ship high‑value data capabilities on time and at quality.
Lead build‑vs‑configure‑vs‑buy decisions, weighing extensibility, integration feasibility, and total cost of ownership.
Ensure compliance for regulated solutions, including
GxPvalidation strategy, data integrity, quality planning, and change control.Establish performance and value frameworks—KPIs, adoption metrics, and executive‑level reporting.
Influence complex regulatory, business, and technical issues and represent solution management in governance forums.
High School Diploma or Equivalent.
Experience in clinical development, Good Clinical Practice (GCP), or a regulated (GxP) environment within pharmaceutical, biotech, or healthcare, including validation and change control processes.
Experience in solution, product, or platform management with accountability for complex portfolios spanning commercial and internally built capabilities.
Proven ownership of solution lifecycle and Agile/SAFe delivery with Product Owner responsibilities (backlog, prioritization, acceptance criteria, demos).
Hands‑on experience leveraging AI in day‑to‑day delivery, including evaluating and applying AI/ML and agentic capabilities.
Technical depth in enterprise data platforms and integration technologies, including hands‑on configuration and the ability to guide engineering teams.
Experience defining and executing vendor strategy, including make‑vs‑buy and ongoing governance.
Experience establishing configuration and release management, including environment governance and CI/CD alignment.
Strong executive stakeholder management and the ability to represent technology in governance forums.
Qualified applicants must be authorized to work in the United States on a full‑time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F‑1 CPT, F‑1 OPT, F‑1 STEM OPT, J‑1, H‑1B, TN, O‑1, E‑3, H‑1B1, or L‑1.
Bachelor’s degree in Computer Science, Engineering, Life Sciences, Business, or related field.
Familiarity with clinical data management platforms and their configuration, extensibility, and integration patterns.
Hands‑on experience with internally built capabilities—APIs, integrations, RPA, agentic workflows, agents, and data…
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