Director of Product Management - Evidence Generation Platform

4 days ago

Apply Now

Receive Emails with Similar Jobs

Velsera

WebsiteLinkedInAll Job Openings

501 - 1000

Description

• Lead the development and strategic direction of our Evidence Generation Platform. • Drive the creation of data-driven tools and platforms for researchers, biotech companies, and pharmaceutical partners. • Define and drive the product vision, strategy, and roadmap for the evidence generation platform. • Identify key market trends, emerging technologies, and competitive landscapes. • Lead and mentor a team of product managers, providing strategic guidance. • Foster a collaborative environment with engineering, data science, regulatory, and commercial teams. • Collaborate with internal stakeholders and external partners to understand evolving needs. • Act as the primary advocate for the product with executive leadership. • Oversee the end-to-end product lifecycle from concept to market delivery. • Prioritize platform features and enhancements based on user feedback and market opportunities. • Ensure the product is scalable, modular, and compliant with regulatory standards. • Develop and execute the go-to-market strategy for the platform. • Lead data-driven product decisions utilizing user analytics and market metrics. • Develop and implement KPIs to track product performance and success. • Establish strong relationships with key customers, acting as the voice of the customer.

Requirements

• Bachelor’s degree in Life Sciences, Bioinformatics, Biomedical Engineering, or a related field. • An advanced degree (PhD) or MBA is highly preferred. • 8-10+ years of experience in product management, with at least 3-5 years in a leadership role. • Proven experience leading product strategy for software platforms in the life sciences, healthcare, or clinical research sectors, particularly focusing on data platforms, analytics, or evidence generation tools. • Hands-on experience working with real-world data (RWD), real-world evidence (RWE), clinical data, or omics technologies. • Track record of managing end-to-end product lifecycles for complex, data-driven platforms in highly regulated environments. • Deep understanding of evidence generation platforms, data management (e.g., RWD, EHRs, clinical trials data, registries), and associated analytics tools. • Knowledge of AI/ML applications in life sciences research, with a focus on how these technologies can be leveraged to advance drug discovery, clinical trials, and outcomes research. • Familiarity with cloud-based infrastructures (e.g., AWS, GCP) and API-driven product ecosystems. • Strong expertise in Agile methodologies, including scrum, sprint planning, and backlog management. • Experience working with multi-functional teams, including engineering, data science, and commercial teams, to drive product delivery and growth. • Ability to translate complex user requirements and technical challenges into clear deliverables. • Deep knowledge of the discovery and life sciences markets, including the challenges and opportunities in biopharma R&D, clinical development, and regulatory landscapes. • Experience working with C-suite executives, board members, and external partners, with the ability to communicate strategic goals and product vision effectively.