Senior Specialist, Technical Product Management

Posted 7 Days Ago
Be an Early Applicant
4 Locations
In-Office
117K-184K Annually
Senior level
Artificial Intelligence • Pet • Software
The Role
Leads technical product management for scientific data products supporting analytical method development, process development, CMC, manufacturing, and clinical supply. Partners with scientists, product managers, data scientists, and engineers to define requirements, prioritize backlogs, create user stories, facilitate Agile delivery, test solutions, and ensure products meet scientific and user needs. Requires scientific data modeling, analytics, SQL, cloud data platform knowledge, and experience translating scientific workflows into actionable product requirements.
Summary Generated by Built In

Job Description

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.


Key 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.

Key Deliverables


  • Problem statements and requirements tailored to scientific workflows
  • Understanding of reports and dashboards relevant to preclinical research and manufacturing
  • Analysis and documentation of data used in product decisions
  • Training materials to ensure user success with data products

Key Behaviors


  • Demonstrate high agency, growth mindset, and initiative within a scientific context
  • Listen effectively to analytical scientists, process engineers, and supply planners, simplifying complex scientific and data problems
  • Act with urgency and prioritize tasks based on scientific and operational value delivered
  • Influence without direct authority, especially among scientific and technical teams
  • Exhibit critical thinking to balance scientific, business, and stakeholder needs
  • Practice evidence-based decision-making
  • Work sustainably and encourage this behavior in others
  • Consistently document activities using company-provided tools
  • Collaborate effectively across matrixed teams, including scientists, engineers, and product managers
  • Show curiosity and empathy for user problems in method, process, and supply

Position Qualifications


Education


  • Bachelor's degree in Life Sciences, Chemistry, Chemical Engineering, Biomedical Engineering, Computer Science, or a related field; advanced degree preferred

Required Experience and Skills


  • 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

Preferred Experience and Skills


  • 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

Required Skills:

Asset Management, Asset Management, Backlog Management, Benefits Management, Business Decisions, Computer Science, Data Analysis Tools, Data-Driven Decision Making, Data Generation, Feature Prioritization, Influencing Without Authority, Management System Development, Process Definition, Product Analysis, Product Improvements, Product Launch Planning, Product Management, Product Management Strategy, Product Requirements, Requirements Management, Requirements Specification, Research Analysis, Scientific Analysis, Software Development Management, Stakeholder Relationship Management {+ 2 more}

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.  As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.  For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights

EEOC GINA Supplement​

We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

Learn more about your rights, including under California, Colorado and other US State Acts

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 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. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

10/13/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Skills Required

  • Bachelor's degree in life sciences, chemistry, chemical engineering, biomedical engineering, computer science, or a related field.
  • Advanced degree in a relevant field.
  • At least 2 years of experience building tools or data assets supporting scientific or data analytics workflows.
  • Three to five years of experience working with scientific users to define requirements for data products.
  • Experience with data analytics or data science capabilities in a scientific context.
  • Experience building entity relationship diagrams, logical data models, and source-target mappings for scientific data.
  • Hands-on experience or working knowledge of AWS Athena, AWS Glue, Amazon S3, Amazon Redshift, or similar data management services.
  • Proficiency in SQL and scientific data management.
  • Ability to translate scientific and business problems into actionable requirements and tasks.
  • Strong analytical problem-solving skills.
  • Excellent written and verbal communication skills with technical and scientific stakeholders.
  • Ability to work independently and manage multiple complex projects simultaneously.
  • Experience in pharmaceutical or biopharmaceutical method development, process development, or clinical/commercial supply.
  • Knowledge of analytical methods, laboratory or instrument data, manufacturing process data, and scientific workflows.
  • Knowledge of LIMS, ELN, chromatography data systems, MES, or similar scientific and manufacturing data systems.
  • Familiarity with method validation or transfer, process characterization, critical quality attributes, and critical process parameters.
  • Familiarity with harmonized data modeling, data lineage, and data quality concepts for scientific data.
  • Experience working in Agile software development.
  • Familiarity with cloud-based software, scientific data platforms, SDLC, and GxP or validated data environments.
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The Company
HQ: Rahway, NJ
349 Employees
Year Founded: 1948

What We Do

MSD Animal Health Technology Labs specializes in the development of animal health management solutions. We are a multidisciplinary product company, a diverse team of ~450 closely collaborating scientists, AI experts, software, hardware, and mechanical engineers… working alongside veterinarians and other animal experts. Our passion? Shaping the future of animal health and well-being (for much better!). Our products and platforms identify trends and predict the likelihood of health outcomes for HUNDREDS of MILLIONS of animals each year, from pets, to poultry, farm animals, and even fish. We provide actionable insights for veterinarians, farmers, and producers, changing the way people care for animals in 150 markets. So, if you’re looking to work in a company that combines pioneering science and technology, dedicated colleagues, and animals, you’ll find it all here – come join us! Visit our website: https://www.msd-animal-health.com/animal-health-intelligence/technology-labs/

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