Senior Specialist, Technical Product Management

MSD

. Collaborate with Product, Data Science, and Engineering teams to define and develop data products for analytical methods, process development, and clinical/commercial supply .

Posted 9/29/2026full-timeUnited StatesSenior💰 $117,000 - $184,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data product development and management within scientific contexts, leveraging strong analytical skills and proficiency in data analytics tools. Capable of translating complex scientific requirements into actionable product strategies while effectively collaborating with cross-functional teams.

Highest-signal resume keywords

Data AnalyticsSQL ProficiencyProduct Ownership in AgileExperience with AWS ServicesScientific Workflow Requirements

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Hard Skills

Data Asset DevelopmentBuilding ERDsLogical Data ModelsSource-Target MappingsAnalytical Problem-SolvingMethod ValidationProcess CharacterizationData Quality ConceptsScientific Data ManagementCloud-Based Software

Soft Skills

Excellent Communication SkillsAbility to Manage Multiple ProjectsCollaboration with Scientific Stakeholders

Tools & Technologies

AWS AthenaAWS GlueAWS S3AWS RedshiftLIMSELNChromatography Data SystemsMESAgile Software DevelopmentGxP/Validated Data Environments

Industry Keywords

Life SciencesBiopharmaceuticalProcess DevelopmentClinical SupplyData ScienceAnalytical SciencesScientific Data PlatformsHarmonized Data ModelingCQAsCPPs

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudSDLCSQL

About the role

Key responsibilities & impact

Collaborate with Product, Data Science, and Engineering teams to define and develop data products for analytical methods, process development, and clinical/commercial supply
Gather, manage, and prioritize product requirements from scientific stakeholders
Define and refine the product backlog and create actionable user stories
Act as a user expert for scientific and supply users
Justify and prioritize improvements to existing products
Develop and maintain domain expertise in analytical sciences, process development, bioprocessing, and manufacturing/supply processes
Write problem statements and requirements and facilitate solution design with engineering teams
Serve as Product Owner on Agile teams or work closely with one
Plan, design, and conduct testing activities
Create training and communication content for scientific and supply end-users
Analyze data, observations, and research to inform product strategy and decision-making
Support the Product Manager in defining and executing data-product strategy
Accept completed user stories against acceptance criteria and scientific requirements
Advocate for scientific and supply stakeholder needs
Deliver scientific workflow requirements, reports and dashboard understanding, product-decision data analysis/documentation, and user training materials

Requirements

What you’ll need

Bachelor's degree in Life Sciences, Chemistry, Chemical Engineering, Biomedical Engineering, Computer Science, or a related field
2+ years building tools or data assets supporting scientific or data analytics workflows
3-5 years working with scientific users to define requirements for data products
Experience with data analytics or data science capabilities in a scientific context
Experience building ERDs, logical data models, and source-target mappings for scientific data
Hands-on experience or working knowledge with AWS Athena, Glue, S3, Redshift, or similar data management services
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
Ability to work independently and manage multiple complex projects simultaneously
Direct pharmaceutical/biopharmaceutical method development, process development, or clinical/commercial supply experience preferred
Knowledge of LIMS, ELN, chromatography data systems, MES/manufacturing execution, or similar systems preferred
Familiarity with method validation/transfer, process characterization, CQAs, and CPPs preferred
Familiarity with harmonized/canonical data modeling, data lineage, and data quality concepts preferred
Experience working in Agile software development preferred
Familiarity with cloud-based software, scientific data platforms, SDLC, and GxP/validated data environments preferred

Benefits

Comp & perks

Annual bonus
Long-term incentive, if applicable
Medical, dental, and vision healthcare
Other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate days
Sick days
Flexible work arrangements: Hybrid