Assoc. Dir, Operations Orchestration
Merck
4 hours ago
Remote friendly (Elkton, VA)
United States
Operations
Key Responsibilities
- Partner with the Operations Orchestration Product Manager to execute product vision/roadmap with technical input, delivery leadership, and operational oversight.
- Lead complex deployments and upgrades of the industrial data historian/visualization stack (AVEVA PI Data Archive, PI-AF, PI Notifications, PI Vision, PI Interfaces, and related components).
- Provide senior, hands-on troubleshooting and incident resolution for industrial data platform issues; diagnose, restore service, prevent recurrence, and coordinate with global support teams.
- Translate shop-floor data needs into practical, scalable technology solutions to improve manufacturing efficiency and effectiveness.
- Collaborate with process engineers and key users to define/maintain company-wide manufacturing assets, process-data requirements, and standard templates.
- Provide day-to-day technical oversight for application support teams, including incident investigation, root cause analysis, resolution, and opportunities to optimize supportability.
- Coordinate execution across a distributed global team model, ensuring alignment, timely decisions, and effective escalation handling.
- Partner with automation and application leads to define and maintain robust data and system integration standards.
- Drive continuous improvement of Data Enablement product processes, governance, and best practices.
- Contribute to SDLC and computer validation practices where applicable.
Qualifications / Requirements
- 8–12+ years manufacturing experience; pharmaceutical manufacturing strongly preferred.
- Minimum 5 years in automation or Information Technology.
- Experience leading delivery and operation of enterprise industrial data platforms in complex, multi-site environments.
- Deep hands-on AVEVA PI Systems experience (architecture, PI-DA, AF, Analysis, Notifications, PI Vision, DAS, PI Interfaces, and integrations).
- Ability to design/explain PI architectures (on-prem, virtualized, hybrid) and integration patterns.
- Exposure to manufacturing control systems (DeltaV, PLC/SCADA, etc.) and manufacturing analytics use cases.
- Knowledge of IT infrastructure considerations affecting data systems (networking, virtualization, storage).
- Experience with SDLC methodology and computer validation concepts.
- Familiarity with Industry 4.0/modern manufacturing data ecosystems (e.g., IoT platforms, data brokers, OPC UA, edge solutions).
- Bachelor’s degree in engineering, Computer Science, or related discipline preferred.
Required Skills
- AVEVA PI System, Change Controls, Computer Technical Support, Incident Management, Management System Development, Problem Management, Software Configurations, Software Development Life Cycle (SDLC), Testing, Troubleshooting.
Preferred Skills
- Global manufacturing environments, distributed delivery models, pharma manufacturing operations, industrial data platform operations, cross-regional execution leadership.
Application Instructions
- Apply via https://jobs.merck.com/us/en (or via Workday Jobs Hub for current employees). Application deadline is stated on the posting.
- Partner with the Operations Orchestration Product Manager to execute product vision/roadmap with technical input, delivery leadership, and operational oversight.
- Lead complex deployments and upgrades of the industrial data historian/visualization stack (AVEVA PI Data Archive, PI-AF, PI Notifications, PI Vision, PI Interfaces, and related components).
- Provide senior, hands-on troubleshooting and incident resolution for industrial data platform issues; diagnose, restore service, prevent recurrence, and coordinate with global support teams.
- Translate shop-floor data needs into practical, scalable technology solutions to improve manufacturing efficiency and effectiveness.
- Collaborate with process engineers and key users to define/maintain company-wide manufacturing assets, process-data requirements, and standard templates.
- Provide day-to-day technical oversight for application support teams, including incident investigation, root cause analysis, resolution, and opportunities to optimize supportability.
- Coordinate execution across a distributed global team model, ensuring alignment, timely decisions, and effective escalation handling.
- Partner with automation and application leads to define and maintain robust data and system integration standards.
- Drive continuous improvement of Data Enablement product processes, governance, and best practices.
- Contribute to SDLC and computer validation practices where applicable.
Qualifications / Requirements
- 8–12+ years manufacturing experience; pharmaceutical manufacturing strongly preferred.
- Minimum 5 years in automation or Information Technology.
- Experience leading delivery and operation of enterprise industrial data platforms in complex, multi-site environments.
- Deep hands-on AVEVA PI Systems experience (architecture, PI-DA, AF, Analysis, Notifications, PI Vision, DAS, PI Interfaces, and integrations).
- Ability to design/explain PI architectures (on-prem, virtualized, hybrid) and integration patterns.
- Exposure to manufacturing control systems (DeltaV, PLC/SCADA, etc.) and manufacturing analytics use cases.
- Knowledge of IT infrastructure considerations affecting data systems (networking, virtualization, storage).
- Experience with SDLC methodology and computer validation concepts.
- Familiarity with Industry 4.0/modern manufacturing data ecosystems (e.g., IoT platforms, data brokers, OPC UA, edge solutions).
- Bachelor’s degree in engineering, Computer Science, or related discipline preferred.
Required Skills
- AVEVA PI System, Change Controls, Computer Technical Support, Incident Management, Management System Development, Problem Management, Software Configurations, Software Development Life Cycle (SDLC), Testing, Troubleshooting.
Preferred Skills
- Global manufacturing environments, distributed delivery models, pharma manufacturing operations, industrial data platform operations, cross-regional execution leadership.
Application Instructions
- Apply via https://jobs.merck.com/us/en (or via Workday Jobs Hub for current employees). Application deadline is stated on the posting.