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Manufacturing Data Strategy & Architecture Consultant

Siro Clinpharm Pvt LtdUnited States🇺🇸United StatesPosted Sep 20, 2026

Why This Role Stands Out

This remote role offers a fantastic opportunity to shape the future of manufacturing data strategy and architecture within a reputable company, providing significant impact and career growth. You'll thrive here if you possess deep expertise in pharmaceutical manufacturing data ecosystems and GxP environments, allowing you to contribute as a trusted advisor. Apply now to leverage your skills and drive innovation in this exciting field.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
SCADA

Job Description

Job title: Manufacturing Data Strategy & Architecture Consultant

Location: Remote

Position Overview

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.

 

Key Responsibilities

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.

Required Qualifications

  • 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

Preferred Qualifications

  • 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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