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Data Acquisition Machine Learning Telephone Skills Data Engineering System Lifecycle Agile Methodology Commercialization IT Infrastructure Value Realization Biopharmaceuticals Workday (Software) Incident Management Software Development Contingent Workforce Technical Leadership Agile Transformation Technology Ecosystems Business Intelligence Operational Excellence Digital Transformation Industrial Engineering Advanced Manufacturing Technical Requirements Artificial Intelligence Technical Documentation Communication Strategies Manufacturing Automation Deviation Investigations Self Service Technologies Business Process Analysis Message Passing Interface Good Manufacturing Practices Extract Transform Load (ETL) Statistical Process Controls Continuous Improvement Process Systems Development Life Cycle Software Development Life Cycle Biopharmaceutical Manufacturing Spotfire (Data Analytics Software) Manufacturing Execution System (MES) Laboratory Information Management Systems Information Technology Infrastructure Library, The Associate Director, Product Analyst is a key role within the Launch Line Intelligence product line team, responsible for independently owning and driving advanced manufacturing and process analytics capabilities within the MPI ecosystem. This position requires an individual who can own a full product domain end-to-end - integrating business needs, data capabilities, and technical delivery with minimal day-to-day direction. The role operates at an enterprise level, partnering with Technical Product Managers, S&T stakeholders, process data SMEs, data engineers, and cross-divisional IT teams to deliver valuable, compliant, and adoptable analytics solutions., * Own and deliver a defined product domain end-to-end (e.g., process analytics, batch genealogy), with accountability for timelines, scope, prioritization, and business outcomes

• Represent Manufacturing Science & Technology and Commercialization users - translating business and process needs into clear requirements, user stories, and acceptance criteria traceable through delivery and testing
• Collaborate with senior S&T stakeholders across all modalities (biologics, small molecule, vaccines) and partner with data engineering teams to inform data acquisition, quality, and governance
• Navigate ambiguous, evolving requirements and translate loosely defined problems into structured execution plans with minimal escalation
• Drive business adoption and value realization of analytics platforms (particularly Seeq), including user feedback synthesis, data literacy promotion, and self-service enablement
• Manage external vendors and contractors, ensuring effective utilization, clear deliverables, and alignment to program priorities
• Develop and execute product communication strategies, including materials creation and value story collection
• Ensure compliance with SDLC, GMP/GxP, documentation, testing, and deployment standards aligned with MPI solution governance, Related Jobs Project Superintendent Actalent North Wales, PAOn-Site Planning Timelines Visionary Leadership Management Innovation Punch Work Procurement Coordinating Construction Shop Drawing Communication Change Orders Subcontracting Microsoft Excel Problem Solving Project Closure Microsoft Office Constructability Microsoft Outlook Microsoft Project Project Schedules Civil Engineering Project Documentation Organizational Skills Architectural Drawing Project Communications Artificial Intelligence Construction Management Industrial Construction Commercial Construction Submittals (Construction) Engineering Design Process Construction Documentation Project Management Software Request For Information (RFI) Systems Development Life Cycle Milestones (Project Management) Construction Management Software +0 Cast House Helper Aerotek Pennsauken, NJOn-Site Aviation Furnaces Machinery Extrusion Operations Hand Tools Reliability Housekeeping Tape Measure Forklift Truck Production Line Health Advocacy Strong Work Ethic Safety Procedures Artificial Intelligence Discounts And Allowances Material Handling Equipment Employee Assistance Programs Personal Protective Equipment Continuous Improvement Process +0 AVP, AI Product Management Lincoln Financial Radnor, PA*Remote Sales Gmail Backlogs Marketing Timelines Annuities Vertex AI Leadership Governance User Story Scalability Wholesaling Fundraising AWS Bedrock Data Science Azure OpenAI Data Privacy Data Analysis User Feedback Prioritization Tax Accounting Responsible AI Social Security Design Thinking Agentic Systems Computer Science Product Strategy Machine Learning Virtual Training Product Delivery Change Management Influencing Skills Product Management Business Valuation Thought Leadership Financial Services Product Leadership Workflow Management Retirement Planning AI Product Strategy User Experience (UX) Regulatory Compliance Stakeholder Engagement Artificial Intelligence Employment Applications Concept Drift Detection Engineering Design Process Balancing (Ledger/Billing) Verbal Communication Skills Project Portfolio Management Employee Assistance Programs Health And Wellness Coaching Financial Technology (FinTech) Key Performance Indicators (KPIs) Generative Artificial Intelligence MLOps (Machine Learning Operations) Artificial Intelligence Development Machine Learning Product Management Artificial Intelligence Infrastructure Master Of Business Administration (MBA), Financial Industry Regulatory Authorities

Leadership Management Enthusiasm Innovation User Story Data Lakes Compassion Communication Data Analysis Life Sciences Business Case User Feedback Data Literacy Site Analysis Accountability Prioritization Product Lining Data Pipelines Problem Solving Small Molecules Business Process Computer Science, * Bachelor's degree in Engineering, Life Sciences, Computer Science, or related field with minimum 8-10 years of relevant experience

• Proven ability to own complex initiatives end-to-end and operate independently in ambiguous environments
• Strong ability to translate business needs to technical requirements and communicate digital concepts to non-technical audiences
• Analytical problem-solving skills with ability to independently develop innovative solutions for complex problems
• Experience working both independently and collaboratively with globally distributed teams
• Practice in Agile Methodology and Continuous Improvement with a digital and innovative mindset
• Expertise in authoring and executing technical documentation following SDLC and Agile methodologies
• Excellent communication skills with a sense of ownership, enthusiasm, and innovation, * Knowledge of biopharmaceutical manufacturing processes, manufacturing systems (MES, LIMS, PI, SAP), and scientific TechOps processes (deviation investigations, CPV, SPC, MVDA, AI/ML)
• Experience with OSIsoft PI / PI AF and analytics/BI tools such as Power BI, Spotfire, JMP, or Seeq
• Background in manufacturing or process analytics (PPM), including cross-site analysis and GMP/GxP considerations
• Understanding of data ecosystems (ETL, data pipelines, data lakes, datamarts) sufficient to collaborate with data engineering teams
• Experience with MANTIS Datalake, DataLynx/MPI mapping standards, or dbt, Agile Methodology, Agile Methodology, Agile Transformation, Business Case Development, Business Process Analysis, Computer Science, Data Analytics, Data Engineering, Delivering Value, Digital Manufacturing, Digital Transformation Initiatives, Documentations, Incident Management, ITIL Service Delivery, IT Infrastructure Management, Manufacturing Execution Systems (MES), Objectives and Key Results (OKRs), Operational Excellence, OSIsoft PI System, Prioritization, Process Leadership, Scientific Software Development, Software Development Life Cycle (SDLC), Technical Delivery, Technical Leadership {+ 2 more}

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The salary range for this role is $142,400.00 - $224,100.00

The Manufacturing Value Team is a strategic arm of the Digital Manufacturing Division, focused on delivering digital solutions that drive operational excellence, compliance, and innovation across global manufacturing sites. We combine deep business process knowledge with cutting-edge technology to support factory automation, data analytics, and system lifecycle management. Our mission is to enable smarter, faster, and more compliant manufacturing through digital transformation., 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.