Technical Product Manager – Study Lifecycle Tooling - Evinova

About the role

The Technical Product Manager will shape the product direction for Study Lifecycle Tooling, a part of the Unified Trial Solutions platform. This role sits at the intersection of product strategy and engineering execution, balancing user needs, technical constraints, and regulatory requirements.

Responsibilities

• Own the roadmap, backlog, and product requirements for your area, ensuring alignment with business goals, user needs, and technical strategy.
• Use customer insights, operational data, and team feedback to prioritize investments and continuously improve outcomes.
• Partner closely with Product Managers, Product Owners, and Engineering teams to align priorities and deliver value across the Study Lifecycle Tooling crew.
• Balance new capability development with technical debt reduction to ensure long-term platform health.
• Identify and champion opportunities to leverage AI and automation to improve user experiences, operational efficiency, and product capabilities.
• Lead product initiatives from discovery through delivery and adoption, working with engineering and cross-functional stakeholders to define solutions, evaluate feasibility, and navigate technical and architectural trade-offs.
• Define and communicate clear product requirements, ensuring teams have the context needed to make informed decisions.
• Act as the primary point of contact for your product area, building strong stakeholder relationships and coordinating dependencies across teams and domains.
• Work across Unified Trial Solutions and the wider Delivery organization to manage dependencies and ensure successful end-to-end delivery.
• Promote modern product practices, including AI-enabled ways of working, to improve speed, quality, and decision-making.

Requirements

• 5+ years in product management, technical product management, business analysis, or a related role in a technology-driven environment.
• Demonstrated ability to translate business needs into clear functional and technical requirements, working directly with engineering teams.
• Strong interest in AI technologies and understanding of how AI can enhance product capabilities, user experience, and product delivery practices.
• Experience working with modern software development teams delivering scalable digital products.
• Experience with backlog and documentation tools (e.g., Azure DevOps, Jira, Confluence) and requirements traceability practices.
• Strong communication and stakeholder management skills; fluent in English (written and verbal).
• An analytical mindset with experience using data and feedback to inform decisions.

Preferred

• Experience in regulated environments and validation (GxP, data privacy, security, etc).
• Background in clinical research, clinical study operations, life sciences, healthcare technology, or related domains.