Senior Staff PLM Strategy

Illumina India Biotechnology; Bengaluru; Hybrid; INR 2,400,000 - 4,200,000; Full time

Job summary

Illumina India Biotechnology seeks a senior PLM and enterprise architecture leader to shape the enterprise PLM vision, strategy, and multi-year transformation roadmap. You will align business capabilities with digital platforms and drive data governance, BoM lifecycle changes, and master data management across R&D, manufacturing, and quality functions.

The role requires extensive experience in PLM, enterprise architecture, and digital transformation, with strong stakeholder influence and change

Qualifications

• Bachelor’s or master’s degree in engineering, Life Sciences, Information Systems, Business, Operations, or a related discipline.
• Typically, 10–15 years of progressive experience in PLM, enterprise architecture, business transformation, or related fields.

Responsibilities

• Evolve and champion the enterprise PLM vision, operating model, and multi-year transformation roadmap.
• Lead business process architecture and value stream transformation, driving standardization and future-state models.
• Evolve enterprise PLM architecture, champion data governance and capability frameworks for scalable PLM across functions.
• Collaborate with R&D, Supply Chain, Quality, and Manufacturing to translate formulation BoM changes into PLM requirements.
• Align PLM and MDM roadmaps with information architecture and enterprise priorities.
• Drive digital transformation by evaluating AI/LLM, automation, and analytics to improve value and user experience.
• Establish governance and portfolio management to prioritize investments and maximize value.
• Influence executive decisions and investment prioritization through strategic planning and business cases.
• Mentor teams and promote best practices in PLM strategy and transformation.
• Measure and communicate business value realization with KPIs and maturity metrics.

Skills

PLM strategy

Enterprise architecture

MDM governance

Business transformation

R&D collaboration

Change management

Data governance

Executive stakeholder management

AI/LLM adoption

Education

Bachelor’s or Master’s in Engineering/Life Sciences/Information Systems

Tools

Solution Architecture

Data Architecture

Job description

Key Responsibilities

• Evolve and champion the enterprise PLM vision, operating model, capability strategy, and multi-year transformation roadmap aligned with business priorities and growth objectives.
• Lead business process architecture and value stream transformation, driving standardization, simplification, and future-state operating models.
• Evolve enterprise PLM architecture, champion data governance, and capability frameworks that enable scalable Product lifecycle management across business functions, ensuring alignment between business capabilities, digital platforms, and enterprise data management.
• Partner with R&D, Supply Chain, Quality and Manufacturing stakeholders to understand formulation BoM lifecycle updates, translate formulation changes into PLM requirements, and clarify the intended business, compliance, data, and operational outcomes of each change.
• Collaborate across PLM, R&D, MDM, Quality, Manufacturing, IT, Solution Architecture, and Data Architecture teams to align change intent, impact assessment, data readiness, and implementation outcomes.
• Develop and govern integrated PLM and MDM roadmaps, aligning master data strategy, information architecture, data governance, solution architecture, and digital platform capabilities with enterprise priorities.
• Drive digital transformation and innovation by evaluating, championing, and responsibly adopting AI/LLM capabilities, automation, advanced analytics, process mining, and emerging technologies to improve business value, operational effectiveness, and user experience across the PLM ecosystem.
• Establish governance and portfolio management frameworks to prioritize investments, manage risks, and maximize business value realization.
• Influence executive decision-making and investment prioritization through strategic planning, business cases, and value realization frameworks to influence strategic decisions and align PLM initiatives with enterprise objectives.
• Provide thought leadership and organizational capability development by mentoring teams and promoting best practices in PLM strategy and transformation.
• Measure and communicate business value realization, defining strategic KPIs, capability maturity metrics, and transformation outcomes.

Required Qualifications

• Bachelors or master’s degree in engineering, Life Sciences, Information Systems, Business, Operations, or a related discipline.
• Typically, 10–15 years of progressive experience in PLM, enterprise architecture, business transformation, digital strategy, product lifecycle management, Master Data Management (MDM), solution architecture, data architecture, or R&D/product formulation environments.

Demonstrated expertise in:

• PLM & MDM Strategy, Governance, and Roadmap Development
• Business Architecture & Value Stream Transformation
• Item and BoM Lifecycle, Requirements Translation & Change Impact Analysis
• Solution Architecture, Data Architecture & Information Governance
• Master Data Management, Data Quality & Enterprise Information Architecture
• Portfolio, Program & Transformation Leadership
• Organizational Change Management & Business Adoption
• Executive Influence, Strategic Thinking & Enterprise Leadership

Preferred Qualifications

• Industry experience in MedTech, Life Sciences, Pharma, Healthcare, or Manufacturing
• Expertise in PLM platforms and digital transformation technologies - Siemens Teamcenter, SAP PLM, SAP S/4, Agile PLM, or equivalent ecosystems.
• Experience with R&D collaboration, requirements translation, and change management
• Proven ability to develop PLM & MDM strategies, roadmaps, and governance frameworks
• Knowledge of Solution Architecture, Data Architecture, and Enterprise Information Management
• Familiarity with AI/LLM, analytics, automation, and data-driven operating models
• Experience in enterprise transformation, process optimization, and capability for maturity development
• Advanced degree preferred (MBA, Engineering, Technology, or related field)