OSIsoft

Biopharmaceuticals Influencing Skills Product Management Workday (Software) Business Valuation Industry Standards Workflow Management Data Transformation Contingent Workforce Product Requirements Emerging Technologies Solution Architecture Business Intelligence Requirements Analysis Operational Excellence Digital Transformation Industrial Engineering Advanced Manufacturing Technical Requirements Manufacturing Processes Artificial Intelligence Technical Documentation Requirements Management Manufacturing Engineering Business Process Modeling Message Passing Interface Balancing (Ledger/Billing) User Requirements Documents Interpersonal Communications Good Manufacturing Practices Statistical Process Controls User Acceptance Testing (UAT) Influencing Without Authority Continuous Improvement Process Systems Development Life Cycle Operational Acceptance Testing Biopharmaceutical Manufacturing Spotfire (Data Analytics Software) Laboratory Information Management Systems, The Senior Product Analyst is part of the Launch Line Intelligence product line team, which is a business-facing role responsible for supporting advanced manufacturing and process analytics applications such as Seeq within the MPI ecosystem. This role represents Manufacturing Science & Technology and Commercialization users, translates business and process needs into clear product requirements, and works closely with Technical Product Managers, engineering, and data teams to ensure valuable, usable, and adoptable analytics capabilities for Proactive Process Monitoring (PPM), batch data investigations, and -cross site- process robustness through varied in-house built or COTS solutions., * Serve as the primary user-facing partner for advanced process analytics use cases, supporting investigations, monitoring, and continuous improvement through various applications (e.g. Seeq).

• Discover, document, and manage business processes, opportunity statements, use cases, and user requirements related to advanced process analytics.
• Translate manufacturing and MS&T user needs into clear problem statements, requirements, and user stories that are traceable through delivery and testing.
• Facilitate structured user feedback and synthesize insights into prioritized backlog items in partnership with Technical Product Managers.
• Represent user needs in product planning and prioritization discussions, balancing business value, compliance expectations, and platform strategy.
• Collaborate closely with manufacturing, engineering, digital, analytics, and platform teams to ensure solutions align with MPI standards and governance.
• Participate across the product SDLC by supporting requirements refinement, backlog readiness, user acceptance testing, release planning inputs, and post-release feedback.
• Develop and deliver training materials, documentation, and user enablement activities to drive adoption and effective use of analytics capabilities.
• Build and maintain a strong domain understanding of manufacturing process data, analytics use cases, and workflows supported by the MPI ecosystem., Category 5 Cabling Operations Management Electronic Components Electrical Engineering Technical Requirements New Product Development Artificial Intelligence Technical Documentation Internet Protocols Suite Critical Illness Insurance Continuous Improvement Process Troubleshooting (Problem Solving) DOCSIS (Data Over Cable Service Interface Specification) +0

Google IT Support AVP, AI Product Management Lincoln Financial Radnor, PARemote 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 Artificial Intelligence Product Management +0 Senior Scientist, Engineering Merck & Co., Inc West Point, PAOn-Site Writing Planning Coaching Research Timelines

Research, Power BI Metadata Enthusiasm Innovation User Story Compassion Negotiation Franchising Communication Data Analysis Investigation User Feedback Accountability Prioritization Product Lining Problem Solving Business Process SAP Applications Machine Learning Telephone Skills Product Planning Agile Methodology, Required

• Bachelor of Science (B.S.) in Engineering or equivalent technical field with 6+ (six or more) years of relevant experience
• Demonstrated experience with advanced industrial analytics
• Advanced knowledge of probability and statistics
• Strong ability to translate business needs to technical requirements, and to communicate digital concepts to non-technical personnel
• Strong interpersonal skills with a demonstrated ability to negotiate with key stakeholder groups and drive/influence results in a dynamic environment
• Strong analytical problem-solving skills and ability to independently develop innovative solutions for complex problems
• Ability to work both independently and collaboratively with a globally distributed team
• Practice in Agile Methodology and Continuous Improvement and with a Digital & Innovative mindset
• Expertise in authoring and executing technical documentation following industry standards and methodologies (SDLC, AGILE)
• Excellent communication and problem-solving skills with a sense of ownership, enthusiasm, and innovation
• Ability to understand manufacturing or business process context and reflect it accurately in data transformations and metadata

Preferred

• Knowledge of biopharmaceutical manufacturing processes, manufacturing systems (e.g. MES, LIMS, PI, SAP), and scientific TechOps processes that consume the data - e.g. deviation and batch discard investigations, continuous process verification, statistical process control charts, MVDA and AI/ML workloads
• Experience with OSIsoft PI / PI AF, analytics and BI tools such as Power BI, Spotfire, JMP, Seeq
• Background in manufacturing or process analytics (PPM), including cross site or franchise level analysis and GMP/GxP considerations, Accountability, Accountability, Agile Methodology, Business Processes, Business Process Flows, Business Process Modeling, Business Process Strategy, Client Counseling, Data Analysis, Data Analytics, Data Transformation, Digital Manufacturing, Digital Transformation, Emerging Technologies, Manufacturing, Manufacturing Process Design, Manufacturing Processes, Operational Acceptance Testing (OAT), Platform Strategy, Product Management, Product Planning, Requirements Analysis, Requirements Management, Solution Architecture, Stakeholder Negotiations {+ 5 more}, Exton, PA*On-Site Linux Writing Visionary Broadband Operations Leadership Management Innovation Flowcharts Coordinating Communication Test Equipment Quick Learning Microprocessor Time Management Radio Frequency Problem Solving Desktop Support Cable Television Hard Disk Drives Technical Support Hardware Adapters, Innovation Statistics Compassion Adaptability Communication Data Analysis Presentations Investigation Cell Cultures Lean Six Sigma Process Design Detail Oriented Risk Management Small Molecules Large Molecules Telephone Skills Analytical Method Biopharmaceuticals Project Management Strategic Planning Regulatory Filings Process Validation Process Development Technology Transfer Experimental Design Contingent Workforce Process Optimization Technical Leadership Chemical Engineering Mathematical Modeling Biological Engineering Contract Manufacturing Technical Documentation Quality By Design (QbD) Mammalian Cell Cultures Stakeholder Communications Chromatographic Techniques Scale-Up Process Management Good Manufacturing Practices Statistical Process Controls Computational Fluid Dynamics Cross-Functional Collaboration Biologics License Applications (BLA) +0

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.

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The salary range for this role is $117,000.00 - $184,200.00

At our company, we aspire to be the premier research-intensive biopharmaceutical company. We're at the forefront of research to deliver innovative health solutions that advance the prevention and treatment of diseases in people and animals. Join our Manufacturing Value Team, a strategic arm of the Digital Manufacturing Division, focused on delivering digital solutions that drive operational excellence, compliance, and innovation across global manufacturing sites., 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.