Define and drive the long-term strategy, vision, and roadmap for Pharma R&D product area, aligning with revenue growth, customer satisfaction, and competitive advantage.
Use data insights to identify opportunities for innovation and inform product strategy; prioritize features and initiatives based on data and client feedback.
Lead end-to-end product lifecycle from ideation to launch and end-of-life; produce PRDs, epics, and user stories and ensure timely delivery.
Manage product ideation, requirements specification, and validation; facilitate collaboration across cross-functional product teams (developers, QA, UX, Customer Success, Sales).
Define and track KPIs to measure product success and regularly report to stakeholders; monitor product performance via analytics and user feedback.
Conduct customer-centric product discovery including site visits and online meetings; embed client needs into development processes and support adoption via documentation, training, and webinars.
Assist sales in go-to-market activities including RFP/Tender responses, product demos, client meetings, and events.
Work on new solutions to help Pharma R&D teams with drug target pipeline prioritization, biomarker identification, and drug repurposing; define direction for existing supporting products.
Report to the Product Director Enterprise and lead product market fit efforts for Life Science customers, collaborating across the Enterprise segment.
Requirements
Minimum of 5 years of experience in software product management, including product discovery and delivery.
Demonstrated ability to solve complex problems with many constraints and assess risks.
Proven ability to foster cross-functional collaboration among diverse teams and drive alignment.
Excellent verbal and written communication, presentation, and relationship management skills.
Highly developed organisational skills and ability to work autonomously.
Demonstrated ability to adapt projects in response to changing requirements.
Passion for staying up-to-date with industry trends and emerging technologies.
Experience in Life Science solutions, preferably for pharmaceutical companies.
Experience in Pharma R&D and drug lifecycle pipeline.
Knowledge of data processing, FAIR data, ontologies, and knowledge graph technology.
B2B SaaS experience.
Optional: Biostatistics.
Optional: Knowledge graph experience.
Must reside in one of the following countries: United Kingdom, Spain, Germany, or Romania (applications from outside these areas will not be considered).