Director of Product Management - Evidence Platform

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. The Director of Product Management for the Evidence Platform will lead the Product Management organization, shaping the strategy and customer experience while driving the development of a platform that supports clinical research and healthcare analytics.

Responsibilities:

• Lead, coach, and grow the Product Management organization for the Evidence Platform
• Personally own one or more strategic product domains, driving product discovery, customer validation, feature definition, prioritization, launch, and continuous improvement
• Partner with the Head of Evidence to translate long-term product vision into strategy, roadmaps, priorities, and measurable outcomes
• Build a high-performing product organization with clear ownership, accountability, and execution
• Develop a deep understanding of researchers, healthcare organizations, pharmaceutical companies, and life science customers, translating their needs into reusable platform capabilities
• Define and evolve the platform strategy, balancing customer value, scientific rigor, engineering investment, extensibility, scalability, and long-term platform evolution
• Stay close to customer workflows, product behavior, and technical tradeoffs while simplifying research workflows and enabling future AI-powered experiences
• Establish a culture of data-driven product management using customer insights, product metrics, experimentation, and business outcomes
• Define product success metrics, evaluate customer behavior and outcomes, identify opportunities, and continuously improve the product portfolio
• Partner closely with Engineering, Design, Data, Intelligence, Catalysts, Evidence Services, Customer Success, Product Marketing, Sales, and executive leadership
• Drive alignment across organizations while balancing customer-facing innovation with platform scalability, reliability, and operational excellence

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Life Sciences, Statistics, Public Health, Healthcare, or a related quantitative field
• 10+ years of Product Management experience, including significant experience leading Product Managers or product teams
• Demonstrated success building enterprise SaaS, platform products, data platforms, analytics platforms, research platforms, AI-enabled products, or other complex data-intensive software
• Strong understanding of clinical research, real-world evidence (RWE), real-world data (RWD), healthcare analytics, clinical informatics, biomedical informatics, or life sciences
• Proven ability to translate long-term product strategy into measurable execution
• Demonstrated experience owning strategic product areas end-to-end while leading and developing Product Managers
• Systems thinking with the ability to identify reusable platform capabilities that support multiple products, workflows, and customer segments rather than isolated solutions
• Strong product judgment balancing customer needs, scientific rigor, technical constraints, extensibility, and long-term platform evolution
• Strong analytical mindset with experience using customer behavior, experimentation, and product metrics to guide product decisions
• Excellent communication and stakeholder management skills across engineering, clinical, commercial, and executive leadership
• Experience building products for pharmaceutical, biotechnology, healthcare, medical device, CRO, academic research, or research-intensive software organizations
• Experience supporting observational research, clinical trials, regulatory submissions, or regulatory-grade evidence generation
• Experience working with healthcare data including EHR, claims, genomics, imaging, registries, or other real-world data sources
• Experience building extensible platform products, shared platform capabilities, or data products supporting multiple solution areas
• Experience designing products that integrate naturally into researcher workflows rather than requiring customers to adopt entirely new ways of working
• Experience using Azure DevOps (ADO) for roadmap planning, backlog management, portfolio management, and cross-team coordination
• Experience building AI-enabled products, analytics platforms, or research software
• Advanced degree such as an MS, PhD, MD, MPH, or MBA