Merck · 4 months ago
Associate Director, Technical Product Management
USA - Massachusetts - Boston (MA Parcel B Laboratory)
Full-time
Hybrid
Lead/Staff, Director/Executive
$140K/yr - $220K/yr
5+ years expMerck is a leading pharmaceutical company seeking an experienced Technical Product Manager to lead their pharmaceutical process and method development data product portfolio. This role involves collaborating with stakeholders to define business data needs and driving product strategy and execution to ensure timely availability of quality data for scientific and operational decisions.
BiotechnologyHealth CareMedicalPharmaceutical
No H1B
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 pharmaceutical process and method development 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
Apply Agile methodologies in managing the product development lifecycle, including sprint planning, backlog management, and performance assessments
Apply prototyping techniques to learn and evolve the product
Create and lead cross-functional teams comprised of data scientists, information architects, software engineers, and product designers to drive product development and execution
Conduct regular meetings with stakeholders and product team members to provide updates on progress and motivate the team to achieve execution goals
Ensure that the product team is aligned with the overall product vision and motivated to contribute to successful execution
Leverage hands-on experience with data to inform product features
Support the development of tools and methodologies that facilitate the processing and analysis of process and analytical data
Foster a collaborative environment that encourages open communication and aligns team efforts with the product roadmap
Advocate for the adoption of FAIR (Findable, Accessible, Interoperable, Reusable) data principles in the development of pharmaceutical process and method development data products
Highlight the need for, and help stakeholders with creation of data capture, master data standards and documentation practices to ensure the findability and accessibility of data
Take responsibility for enabling automation and monitoring solutions that enhance workflow efficiency and data integrity
Ensure compliance with GxP and audit requirements for data usage and dashboarding
Act as a key point of accountability for the execution and delivery timelines related to pharmaceutical process and method development data products
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)
Qualification
Required
Bachelor's degree in Life Sciences, Biomedical Engineering, Chemical Engineering, Computer Science, or a related field; advanced degree preferred
5+ years of experience in technical product management, particularly within the biopharma or healthcare sectors
Demonstrated understanding of Physicochemical, process, stability and other analytical data
Experience with cloud storage and compute infrastructure (e.g., AWS, Azure) and knowledge of automation and monitoring tools
Familiarity with FAIR data principles and best practices related to data management and interoperability
Strong experience with Agile methodologies and product management frameworks
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
Familiarity with systems like Signals, PKM, Pi, Databricks, Redshift, modern data architecture tools any others?
Strong understanding of data modeling, governance, and analytics platforms (e.g., Power BI, Collibra)
Knowledge of GxP compliance and regulatory data standards
Preferred
Prior experience in a pharma/biotech organization's process development, manufacturing, or automation team
Hands-on experience with specific tools: LIMS (e.g., Labware), ELN (e.g., Benchling), MES, SCADA, OSIsoft PI, Apache Kafka, Spark, Databricks, or similar
Experience participating in tech transfer projects, method validations, or PAT-enabled implementation
Familiarity with AI/ML use cases in bioprocessing (digital twins, predictive control, anomaly detection)
Demonstrated experience translating process/experimental requirements into data/IT solutions and shipping data products in regulated environments
Benefits
Medical
Dental
Vision healthcare and other insurance benefits (for employee and family)
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate and sick days
Company
Merck
Merck is a biopharmaceutical company that offers medicines and vaccines for various diseases.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$5.59MKey Investors
Private Capital AdvisorsGavi, the Vaccine Alliance
2018-11-25Post Ipo Equity· $0.59M
2016-01-21Series Unknown· $5M
1980-12-19IPO
Leadership Team
Betty Larson
Executive Vice President and Chief Human Resources Officer
Dean Li
Executive Vice President and President, Merck Research Laboratories
Recent News
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