Senior Specialist, Technical Product Management

MSD • Rahway, NJ

6d • Hybrid

About The Position

We are seeking a Sr. Specialist in Technical Product Management with deep expertise in the analytical method development, drug substance/product process development and manufacturing, clinical supply process, chemistry, manufacturing, and controls (CMC) to help build and enhance data products. The ideal candidate will have a strong scientific background with hands-on understanding in these respective domains, will understand the needs of stakeholders and users — particularly Analytical Scientists, Process Chemists/Engineers, and Clinical Supply Planners — and will bridge the gap between scientific requirements and data-driven product development.

Requirements

• Bachelor's degree in Life Sciences, Chemistry, Chemical Engineering, Biomedical Engineering, Computer Science, or a related field; advanced degree preferred
• 2+ years building tools or data assets supporting scientific or data analytics workflows
• 3-5 years working with scientific users (e.g., analytical scientists, process chemists/engineers) to define requirements for data products
• Experience with data analytics or data science capabilities, especially in a scientific context
• Experience building ERDs, logical data models, and source-target mappings for scientific data
• Hands-on experience or working knowledge with data management services (AWS Athena, Glue, S3, Redshift, or similar)
• Proficiency in SQL and scientific data management
• Ability to translate scientific/business problems into actionable requirements and tasks
• Strong analytical problem-solving skills
• Excellent written and verbal communication skills, with the ability to engage both technical and scientific stakeholders
• Ability to work independently and manage multiple complex projects simultaneously

Nice To Haves

• Direct experience in pharmaceutical/biopharmaceutical method development, process development, or clinical/commercial supply
• Domain knowledge or familiarity with analytical methods, laboratory/instrument data, manufacturing process data, and scientific workflows
• Knowledge of analytical and process data systems (e.g., LIMS, ELN, chromatography data systems, MES/manufacturing execution, or similar) and integration with data science tools
• Familiarity with method lifecycle and process concepts such as method validation/transfer, process characterization, critical quality attributes (CQAs), and critical process parameters (CPPs)
• Familiarity with harmonized/canonical data modeling, data lineage, and data quality concepts for scientific data
• Experience working in Agile software development
• Familiarity with cloud-based software and scientific data platforms, Software Development Life Cycle (SDLC), and GxP/validated data environments

Responsibilities

• Collaborate closely with Product, Data Science, and Engineering teams to define and develop data products tailored for analytical methods, process development, and clinical/commercial supply.
• Gather, manage, and prioritize product requirements by engaging with scientific stakeholders to understand user problems, technical constraints, and strategic objectives.
• Define and refine the product backlog; create actionable user stories that reflect the unique workflows and challenges of method development, process characterization, and supply operations.
• Act as a user expert, deeply understanding the motivations, pain points, and goals of scientific and supply users.
• Justify and prioritize improvements to existing products, focusing on delivering measurable value to scientific research, manufacturing, and supply operations.
• Develop and maintain technical knowledge and domain expertise in analytical sciences, process development, bioprocessing, and manufacturing/supply processes.
• Write clear problem statements and requirements; facilitate solution design with engineering teams.
• Serve as Product Owner on Agile teams or work closely with one to ensure scientific and data needs are met.
• Plan, design, and conduct testing activities; compile critical training and communication content for scientific and supply end-users.
• Analyze data, observations, and research to generate insights that inform product strategy and decision-making.
• Support the Product Manager in defining and executing strategy in collaboration with engineering teams for one or more data products.
• Accept completed user stories, ensuring deliverables meet acceptance criteria and scientific requirements.
• Act as a customer champion, articulating and advocating for the needs of scientific and supply stakeholders.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior