General Manager/Head - Digital Manufacturing/Automation & Data - Pharma Manufacturing
An AI agent that applies to roles like this on employers' own sites. 25 applications free, no card needed.
Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.
Job Description
Reporting To: CDIO / SVP - Site Manufacturing Leader
Key Interfaces: Manufacturing, Engineering, Quality, IT, Data & Analytics, Supply Chain, OEMs, vendors, integrators.
Industry: Pharma Manufacturing (50 - 60% of Profile)
Technical Competencies:
- Manufacturing & Automation: PLC/DCS/SCADA, OT architecture, equipment integration, industrial networking.
- Applications: MES, EBR, Historian, Serialization, Track & Trace, LIMS/QMS.
- Enterprise Tech: SAP ERP, APIs, Cloud (Azure preferred), IT infra, networking.
- Data & Analytics: Architecture, governance, BI, advanced analytics, AI/ML, dashboards.
- Cybersecurity: IT/OT security, segmentation, vulnerability management, secure remote access.
- Regulatory: GMP/GxP, FDA, 21 CFR Part 11, EU Annex 11, CSV, Data Integrity.
Leadership Competencies: Strategic Thinking, Manufacturing Business Acumen, Digital Vision, IT/OT Integration, Systems Thinking, Stakeholder Management, Change Leadership, Innovation, Problem Solving, Influence Without Authority, Collaboration, Vendor Management, People Leadership.
Role Purpose: Drive end-to-end digital transformation of manufacturing operations by connecting plant equipment, automation/OT systems, manufacturing applications, enterprise IT, data platforms, analytics and AI into one integrated ecosystem. Ensure manufacturing assets and processes are digitally connected, data-driven, reliable, secure and compliant.
Key Responsibilities:
- Digital Manufacturing Strategy & Architecture: Develop enterprise/site roadmap, define target architecture, establish standards, leverage Industry 4.0, IoT/IIoT, AI/ML, Digital Twins, Edge, Cloud, predictive maintenance, real-time intelligence.
- Plant Automation & OT Connectivity: Lead PLC, DCS, SCADA/HMI, industrial networks, sensors, gateways, OT servers, alarm/event management, condition monitoring. Ensure secure, reliable data flow from equipment to enterprise systems.
- Manufacturing Systems: Own MES, EBR, Historian, Serialization, Track & Trace, Weigh & Dispense, QMS interfaces. Ensure integration, reliability, scalability, cybersecurity, lifecycle management.
- Manufacturing Data & Digital Thread: Establish strategy covering equipment, batch, production, quality, maintenance, energy, material, master data. Create single source of truth for manufacturing KPIs.
- Data, Analytics & AI: Drive productivity, OEE, yield, quality, throughput, reliability, energy efficiency, cost. Enable dashboards, KPI platforms, predictive analytics, anomaly detection, AI/ML use cases.
- Integration with SAP & Enterprise IT: Ensure seamless integration between OT-MES-SAP-Data Platform-Analytics. Translate manufacturing needs into scalable IT solutions.
- IT/OT Cybersecurity & Risk: Partner with CISO, enforce OT network security, access controls, vulnerability management, patching, secure remote access, segmentation, incident response, backup, disaster recovery.
- GMP/GxP/Data Integrity/Validation: Ensure compliance with FDA, 21 CFR Part 11, EU Annex 11, CSV, audits, inspections, lifecycle controls.
- Project Portfolio Management: Govern initiatives by business value, compliance, ROI, scalability. Lead projects from concept to benefits realization.
- Vendor & Integrator Management: Manage automation vendors, MES providers, integrators, cloud partners. Ensure delivery against standards, cybersecurity, validation, cost, performance.
- Business Partnership & Change Leadership: Act as digital partner for Manufacturing, Engineering, Quality, Supply Chain, Site Leadership. Drive adoption, change management, measurable operational improvement.
Skills
Digital TransformationArtificial IntelligenceInternet Of ThingsIndustry 4.0Machine LearningAutomationAnalyticsIT Jobs In PharmaAdvanced AnalyticsData IntegrityErpPredictive AnalyticsAi/mlAnalyticsAiMlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
Similar Jobs
View allNew Data Science Analytics & Machine Learning roles in Aurangabad.
One email a day. Unsubscribe any time.

