Product Manager, Clinical Development Platforms

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and uphold the product vision, strategy, roadmap, and metrics for success.

• Collaborate with business stakeholders to pinpoint opportunities, challenges, and desired outcomes.

• Conduct interviews with stakeholders, analyze workflows, assess current and future states, and perform comprehensive user and journey analyses.

• Work alongside UX/Design teams to create journey maps, service experience designs, prototypes, and validate usability.

• Formulate roadmaps based on business value, strategic priorities, risks, complexity, dependencies, and available resources.

• Lead the prioritization of product features, capabilities, enhancements, and necessary investments.

• Develop and maintain business cases and value hypotheses related to product investments.

• Evaluate market and technology trends, vendor solutions, and options for building versus buying.

• Establish and monitor metrics for product success, adoption, value realization, user satisfaction, and operational impacts.

• Convert business requirements into product specifications, workflows, use cases, business rules, and acceptance criteria.

• Ensure that requirements are comprehensive, testable, traceable, and ready for development.

• Facilitate decision-making, prioritization, and scope trade-offs among stakeholders.

• Define the boundaries of the product and identify dependencies related to business, workflows, systems, integrations, and data.

• Collaborate with technical teams to assess solution alternatives and make informed product decisions.

• Engage in backlog refinement, release planning, roadmap reviews, and product governance checkpoints.

• Support products throughout the stages of discovery, workflow analysis, validation, design, development, release, adoption, support, and continuous improvement.

• Collaborate on adoption strategies, change management, communications, training, and value realization.

• Establish mechanisms for post-release feedback, support intake, backlog triage, and product learning.

• Ensure release readiness with business, quality, delivery, and technical teams.

• Define product decision rights and manage risks, assumptions, dependencies, and impacts across products.

• Collaborate with Technical Leads, Architects, and Project, Program, or Delivery Managers on solution options, plans, timelines, RAID management, and release coordination.

• Influence cross-functional teams without formal authority and effectively communicate with business and executive stakeholders.

• Produce summaries of discoveries, stakeholder maps, workflows, use cases, PRDs, roadmaps, decision logs, dependency maps, release scope, and product metrics.

• Identify AI opportunities that involve generative AI, agentic AI, automation, analytics, and decision intelligence.

• Define AI use cases, workflows involving human-in-the-loop, business requirements, user controls, evaluation criteria, outcomes, and adoption necessities.

• Specify expected AI outputs, validation methods, quality standards, test scenarios, and human review requirements.

• Acquire knowledge of clinical development, clinical operations, regulatory, safety, data management, medical writing, and related processes.

• Collaborate with R&D stakeholders to comprehend clinical workflows, operational models, user needs, decision points, data requirements, and compliance expectations.

• Translate clinical, scientific, and operational processes into scalable capabilities for digital products.

• Enhance process efficiency, quality, compliance, traceability, and user experience throughout the clinical development lifecycle.

• Support digital transformation initiatives that improve planning, execution, oversight, documentation, and decision-making.

• Apply product controls for regulated or validated solutions, ensuring auditability, role-based access, data integrity, testing evidence, and controlled release expectations.

⛳️ Requirements

• A Bachelor's degree in Computer Science, Health Sciences, Life Sciences, Engineering, Business, or a related field.

• Five or more years of experience in Product Management delivering enterprise software or digital products.

• Proven experience collaborating with business stakeholders to define product strategy, roadmaps, requirements, and measurable outcomes.

• Strong skills in discovery, end-to-end journey and workflow analysis, systems thinking, prioritization, facilitation, and problem-solving.

• Experience in translating user needs into product specifications, use cases, business rules, acceptance criteria, and work ready for delivery.

• Exceptional verbal, written, presentation, and stakeholder management skills.

• Demonstrated ability to influence cross-functional teams without direct authority.

• Familiarity with Agile or iterative product delivery environments.

• Strong analytical judgment and capability to balance strategic thinking with execution focus.

• Experience in life sciences, healthcare, biotechnology, pharmaceuticals, clinical research, or another regulated environment is highly preferred.

• Preferred experience supporting Clinical Development, Clinical Operations, Regulatory, Safety, Medical Writing, Data Management, or related functions.

• Experience in delivering GxP, validated, or otherwise regulated digital products is highly preferred.

• Preferred experience defining or delivering AI-enabled, analytics-driven, decision-support, or workflow-automation products.

• Experience working collaboratively with UX/Design, Data, AI, Analytics, Architecture, Quality, and Engineering specialists is highly preferred.

• Preferred experience managing cross-product dependencies, integrations, traceability, versioning, or upstream-to-downstream workflows.

• Familiarity with protocol authoring, study design, or Schedule of Activities solutions is a plus.

• Nice to have familiarity with clinical-trial technology platforms and digital R&D ecosystems.

• Nice to have experience with clinical document automation or intelligence solutions.

• Knowledge of clinical data standards, structured protocol models, or metadata management is a plus.

• Experience with AI-assisted authoring, decision support, content extraction, or document intelligence is a plus.

• Familiarity with Veeva, Medidata, Oracle, IQVIA, or similar clinical technology ecosystems is a plus.

• An advanced degree in a relevant business, technology, clinical, scientific, or health discipline is a plus.

🏝️ Benefits

• Eligibility for an annual bonus plan for Non-Commercial roles.

• Discretionary equity awards.

• Optional participation in the Employee Stock Purchase Plan.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan.

• Flexible Spending Account (FSA) / Health Savings Account (HSA).

• Life insurance coverage.

• Paid Time Off (PTO).

• Wellness benefits.

• Reasonable accommodations for protected individuals during the job application process.