Manufacturing Data Strategy & Architecture Consultant

SIRO Limited
United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Architecture Data Governance Data Integration Enterprise Architecture Framework Supervisory Control and Data Acquisition (SCADA) Information Model Laboratory Information Management Systems SAP (Applications) SAP NetWeaver Data Management Technical Data Management Systems Enterprise Data Management
+6 more
Snowflake Process Control Systems Data Management Data Lakehouse Multiaccess Edge Computing GXP

Job description

Seeking a senior Manufacturing Data Strategy & Architecture Consultant to support the development of a future-state data vision, strategy, and architecture roadmap.

The ideal candidate will bring deep expertise in pharmaceutical manufacturing data ecosystems, industrial data architectures, contextualization, semantics, and GxP-regulated environments.

This role will serve as a trusted advisor to Pfizer leadership, providing applied industry expertise, external benchmarking perspectives, and hands-on support in shaping the future manufacturing data landscape., Seeking an experienced pharmaceutical manufacturing data architect with expertise in PI Historian, MES, LIMS, SAP, Snowflake, industrial data models, contextualization, semantics, GxP, and manufacturing data strategy to help shape Pfizer’s future-state data architecture and AI-readiness roadmap.

Manufacturing Data Strategy

  • Support creation of the enterprise manufacturing data vision and strategy.
  • Provide industry best practices and benchmarking from pharmaceutical and process manufacturing environments.
  • Help define future-state operating principles for manufacturing data platforms.
  • Contribute to AI-readiness strategies for industrial data ecosystems.

Data Architecture Leadership

  • Define manufacturing and shop-floor architecture roadmaps.
  • Assess current-state industrial data architecture.
  • Recommend modernization paths for manufacturing data assets.
  • Develop future-state architecture aligned with business priorities and digital transformation goals.

Industrial Data & Contextualization

  • Provide expertise in:

  • Industrial Data Models
  • Contextualization Frameworks
  • Unified Namespace (UNS)
  • ISA-95 Concepts
  • Manufacturing Semantics
  • Digital Thread architectures

Drive alignment between OT, IT, and enterprise analytics platforms.

Technology Architecture

  • Evaluate and provide recommendations regarding:

  • PI Historian ecosystem
  • Manufacturing execution systems (MES)
  • Laboratory systems (LIMS)
  • SAP data integration
  • Snowflake architecture
  • Data lakehouse strategy
  • Edge data platforms

Compliance & Governance

  • Ensure all recommendations align with GxP requirements.
  • Support architecture governance and standards development.
  • Define architectural principles supporting scalability, compliance, and analytics enablement.

Requirements

  • 12+ years of experience in manufacturing data architecture and strategy.
  • Extensive experience within Pharmaceutical, Biotech, Life Sciences, or Process Manufacturing industries.
  • Proven experience designing industrial data architectures.
  • Strong understanding of manufacturing systems and shop-floor technologies.

Required Technical Expertise

Industrial Data Platforms

  • OSIsoft PI / AVEVA PI Historian
  • Industrial IoT Platforms
  • Edge Computing Architectures
  • Unified Namespace Architectures

Manufacturing Systems

  • MES
  • LIMS
  • SCADA
  • Process Control Systems
  • Automation Data Integration

Enterprise Data Platforms

  • Snowflake
  • Data Lakehouse Architectures
  • SAP Data Integration
  • Master Data Management

Architecture & Standards

  • ISA-95
  • Manufacturing Semantics
  • Data Contextualization
  • Information Modeling
  • Enterprise Architecture Frameworks

Compliance

  • GxP
  • FDA 21 CFR Part 11
  • CSV/CSA concepts
  • Pharmaceutical Data Governance, * Consulting experience supporting large global manufacturing organizations.
  • Experience leading manufacturing data modernization programs.
  • Exposure to AI/ML enablement strategies using manufacturing data.
  • Experience with digital manufacturing transformation initiatives.

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Prepare application

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