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Global Master Data Information Architect - Job Opportunity at Lonza

Manchester, United Kingdom
Full-time
Senior
Posted: January 24, 2025
On-site
USD 120,000 - 160,000 per year based on location and role complexity

Benefits

Comprehensive healthcare coverage typical of global life sciences leaders
Professional development and training opportunities in data management
Global mobility opportunities across three continents
Career advancement in a leading life sciences organization
Collaborative and innovative work environment

Key Responsibilities

Lead global data governance program implementation focusing on master data quality and compliance
Architect and maintain global data models for plant maintenance modules
Drive cross-functional collaboration across operations, engineering, supply chain, and IT
Represent global master data management in strategic initiatives
Manage authorization frameworks and data lifecycle processes
Develop and implement global data standards and best practices

Requirements

Education

Bachelor's or Master's degree in data science, computer science, mathematics, business information technology, or business administration, or equivalent experience

Experience

Senior-level experience in enterprise data architecture

Required Skills

SAP ERP ECC or SAP S/4HANA expertise Plant Maintenance module knowledge Materials Management expertise Production and Planning knowledge Power BI or SQL proficiency Strong team collaboration Process improvement capabilities Business insight and decision-making Customer focus
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Sauge AI Market Intelligence

Industry Trends

Life sciences sector is experiencing rapid digital transformation, driving increased demand for sophisticated data architecture roles Growing emphasis on data governance and compliance in regulated industries is elevating the importance of master data management Integration of IoT and smart manufacturing systems is creating complex data architecture challenges in life sciences manufacturing

Role Significance

Likely leads a virtual team of 5-8 data specialists while collaborating with multiple global stakeholders
Senior strategic position with direct impact on global operations and data governance

Key Projects

Global data governance framework implementation Master data quality enhancement programs Cross-functional system integration initiatives Compliance and audit readiness programs

Success Factors

Deep understanding of pharmaceutical manufacturing processes and regulatory requirements Ability to bridge technical and business stakeholder needs Strong change management and global team leadership capabilities Experience in regulated industry data governance

Market Demand

High demand with growing trajectory due to increasing focus on data integrity in life sciences and manufacturing sectors

Important Skills

Critical Skills

SAP expertise critical for integration with existing manufacturing systems Data governance knowledge essential for regulatory compliance Stakeholder management crucial for global program success

Beneficial Skills

Industry 4.0 and IoT knowledge for future manufacturing integration Regulatory compliance experience in life sciences Change management methodologies

Unique Aspects

Rare combination of life sciences industry context with advanced data architecture responsibilities
Global scope with multi-continent stakeholder management
Direct impact on manufacturing efficiency and compliance

Career Growth

2-4 years in role before advancement, depending on project success and organizational growth

Potential Next Roles

Global Head of Data Management Director of Enterprise Architecture Chief Data Officer

Company Overview

Lonza

Lonza is a leading global life sciences company operating across three continents, focusing on pharmaceutical manufacturing and biotechnology

Top-tier position in contract development and manufacturing organization (CDMO) space with strong market presence
Strategic importance of Manchester location for European operations
Innovation-focused environment with emphasis on scientific excellence and global collaboration
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  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

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