Lead the strategy, vision, and execution of flagship digital capabilities supporting the Analytical Services Division within the Clinical Research Group
Align product roadmaps with business objectives, customer needs, and regulatory requirements
Translate complex laboratory, operational, and business requirements into detailed product specifications, features, and user stories
Partner closely with engineering, UX/UI, lab operations, quality, and scientific stakeholders to ensure precise execution
Lead agile product development cycles, ensuring clarity of requirements, rapid iteration, and high-quality delivery
Represent ASD product needs within the broader CRG Digital organization and ensure alignment across shared platforms
Collaborate effectively with data scientists and ML engineers; demonstrate fluency in AI/ML concepts (e.g., regression, classification, NLP, predictive modeling) and their application in laboratory and clinical contexts

Requirements

Bachelor’s degree; advanced degree in healthcare, life sciences, computer science, business, or related field preferred
Previous product management experience delivering complex digital software solutions, with significant experience in clinical research, laboratory services, life sciences, or other regulated industries that provides the knowledge, skills, and abilities to perform the job (comparable to 12+ years’ experience)
2+ years of people leadership experience managing global or matrixed teams
Strong business acumen and demonstrated ability to drive digital innovation and measurable growth
Deep understanding of full product lifecycle management from concept through commercialization
Prior experience with laboratory operations and systems (LIMS, ELN, scientific data platforms) strongly preferred
Experience working within quality systems and regulatory frameworks applicable to clinical research and laboratory environments
Proven success leading cross-functional teams in large, matrixed organizations
Exceptional communication, executive storytelling, and stakeholder management skills
Experience collaborating with external development partners
Familiarity with agile product management tools (e.g., Jira, Aha!, Azure DevOps)
Experience applying AI/ML concepts within data-intensive environments preferred

Benefits

Relocation assistance is NOT provided
Must be legally authorized to work in the United States without sponsorship
Must be able to pass a comprehensive background check, which includes a drug screening

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

product managementdigital software solutionsAI/ML conceptsproduct lifecycle managementlaboratory operationsLIMSELNscientific data platformsagile product developmentpredictive modeling

Soft Skills

business acumenleadershipcommunicationstakeholder managementexecutive storytellingcollaborationcross-functional team leadershipstrategic visionclarity of requirementsrapid iteration