eCOA Technical Project Manager

We are seeking an experienced Technical Product Manager to lead an emerging data product portfolio at our company. This role requires a strong understanding of biopharma research and hands‑on experience across discovery domains, with a particular focus on the drug discovery process and in‑vitro/​in‑vivo workflows. The ideal candidate will combine domain expertise with product‑management capabilities to drive product strategy, execution, and continuous evolution. This role will be accountable for ensuring timely delivery of high‑quality, reliable data products that enable scientific and operational insights, accelerating innovation and improving productivity. Responsibilities Collaborate with stakeholders to understand their business data needs for in silico research, defining the core capabilities required to support these needs. Develop and communicate a product vision, strategy, and roadmap for emerging data products that align with business objectives and market opportunities. Act as the primary point of contact for stakeholders regarding product vision, strategy, and roadmap updates. Act as a key point of accountability for the execution and delivery timelines related to emerging data products. Create and lead cross‑functional teams comprised of data scientists, information architects, software engineers, and product designers to drive product development and execution. Ensure that the product team is aligned with the overall product vision and motivated to contribute to successful execution. Foster a collaborative environment that encourages open communication and aligns team efforts with the product roadmap. Apply Agile methodologies in managing the product development lifecycle, including sprint planning, backlog management, and performance assessments. Lead with a prototype‑driven, learn‑and‑evolve approach to rapidly validate capabilities and de‑risk investments. Ensure compliance with GxP and audit requirements for data usage and dashboarding. Advocate for the adoption of FAIR (Findable, Accessible, Interoperable, Reusable) data principles in the development of emerging data products. Highlight the need for outcome‑driven data quality and context standards to ensure usability of data. Drive adoption of delivered data products through user training, documentation, pilots, and evangelism; collect feedback and iterate. Measure and report on adoption metrics and business outcomes (reduced cycle time, fewer deviations, improved batch yield). Qualifications Required Bachelor's degree in Life Sciences, Biomedical Engineering, Chemical Engineering, Computer Science, or a related field. Five or more (5+) years of experience in technical product management, particularly within the biopharma or healthcare sectors. Excellent leadership, communication, and stakeholder management skills. Ability to simplify complex technical and scientific concepts for nontechnical stakeholders. Proven ability to prioritize competing demands and drive cross‑functional teams. Proven ability to motivate cross‑functional teams and drive product strategy from conception to execution. Demonstrated understanding of PCC, Safety, PK/PD, and Bioanalytical data. Experience with data management, information architecture, cloud storage, and compute infrastructure (e.g., AWS, Azure) and knowledge of automation and monitoring tools. Strong experience with Agile methodologies and product management frameworks. Familiarity with modern data warehousing tools such as Databricks and Redshift. Familiarity with FAIR data principles and best practices related to data management and interoperability. Knowledge of GxP compliance and regulatory data standards. Preferred Advanced degree in a related field. Prior experience in discovery biology, pharmacokinetics/pharmacodynamics, toxicology, translational biomarkers, and pharmaceutical sciences, or any of these fields. Experience with tools like LIMS (e.g., Labware), ELN (e.g., Benchling), Apache Kafka, Spark, Databricks, or similar. Familiarity with lab in the loop, lab automation, and AI/ML. Strong understanding of data modeling, governance, and analytics platforms (e.g., Power BI, Collibra). Demonstrated experience translating experimental requirements into data/IT solutions and shipping data products in regulated environments. The salary range for this role is $117,000.00 - $184,200.00. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for an annual bonus and long‑term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. #J-18808-Ljbffr ICON