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Director, Digital Product Manager, Clinical Execution

Job in Wilmington, New Hanover County, North Carolina, 28412, USA
Listing for: ThermoFisher Scientific
Full Time position
Listed on 2026-03-08
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

At Thermo Fisher’s PPD clinical research business, we’re using digital innovation, data science, and AI to reimagine how life-changing therapies reach patients. Our teams combine deep scientific expertise with advanced analytics, automation, and digital platforms to make research smarter, faster, and more connected.

At PPD we know that innovation happens when diverse minds meet. Our Digital Science, Data, and AI professionals collaborate closely with scientists, clinicians, and operational experts to solve real-world challenges in clinical research. Alongside our partnership with Open AI, you can be part of the collaboration that will help to improve the speed and success of drug development, enabling customers to get medicines to patients faster and more cost effectively.

You’ll join a culture that values experimentation, learning, and collaboration — where your ideas can help shape how we deliver life‑saving solutions and improve global health outcomes. Whether you’re a data engineer, product manager, software developer, or AI scientist, you’ll find opportunities here to apply your skills to work that truly matters — improving global health outcomes.

POSITION SUMMARY:

The Director, Digital Product Manager, Clinical Execution, will be responsible for driving the product strategy, vision, and execution of the product roadmap in our clinical execution domain. This role owns the product roadmap from concept through scale, modernization, and when appropriate, responsible transition or sun setting. You will define and execute a unified strategy that enables real‑time visibility, performance optimization, and cross‑functional coordination across digital products.

This role ensures alignment with business objectives and customer needs.

You will lead cross‑functional teams to deliver innovative, impactful, and user‑centric solutions that enhance clinical trial operations, improve delivery outcomes, and shape the future of clinical research. This position requires hands‑on experience in translating complex business requirements into exceptional software features, along with deep knowledge of clinical operations (Data management and bio statistician), and emerging data and AI technologies.

Key Responsibilities:

Product Roadmap and Vision:
  • Develop and communicate a clear, compelling product vision and roadmap aligned with organizational goals.

  • Conduct detailed industry research, competitor analysis, and customer/end user discovery to uncover opportunities and translate them into actionable product initiatives.

  • Proactively monitor industry trends, regulatory changes, and advancements in clinical research technology, especially related to AI‑driven data solutions.

Detailed Product Definition and Execution:
  • Translate complex business requirements into detailed product specifications, features, and user stories that lead to exceptional software experiences and business outcomes.

  • Work closely with engineering, data analytics, AI, UX/UI, PMO, business leaders, quality and validation, and clinical operations teams ensuring precise and effective execution of product initiatives.

  • Drive agile product development, ensuring clarity in requirements, rapid iteration, and continuous delivery of high‑quality, impactful features.

  • Work closely with quality and regulatory teams in ensure compliance, security and maintenance of the product throughout the lifecycle.

  • Apply deep knowledge of clinical operations and management processes, regulatory standards, and best practices to guide feature design and implementation.

Predictive Modeling and Machine Learning:
  • Comfortable working with data scientists and AI/ML engineers; able to understand model types (regression, classification, NLP, and deep learning) and their limitations.

  • Leverage AI and advanced analytics to enhance clinical data capabilities, improve operational efficiencies, and deliver innovative solutions to complex research challenges.

User‑Centric Product Development:
  • Champion exceptional user experience, consistently validating solutions through rigorous user research, analytics, and testing.

  • Continuously…

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