IT Project Manager - ELN Platforms (Electronic Lab Notebook) & Scientific Data Systems

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We are currently seeking a IT Project Manager - ELN Platforms (Electronic Lab Notebook) & Scientific Data Systems to join our team in Hyderabad, Telangana (IN-TG), India (IN).

Role: IT Project Manager - ELN Platforms, Scientific Data Systems & Manufacturing Integration (MES)

Location: Hyderabad (Work from office- 5 days a week)

Notice Period: 30 Days

Position Summary

The IT Project Manager - ELN, Scientific Data Platforms & Manufacturing Systems is a senior, outcome-accountable delivery leader responsible for the global implementation, validation, and adoption of Electronic Lab Notebook (ELN) ecosystems and their integration with Manufacturing Execution Systems (MES) across regulated R&D, Quality, and Manufacturing environments.

This role operates at the intersection of scientific workflows, manufacturing operations, regulated data integrity, and enterprise IT architecture, owning end-to-end program delivery, compliance readiness, and measurable outcomes across both lab and production domains.

Unlike traditional PM roles, this position requires demonstrated authority over multi-system lab-to-manufacturing ecosystems, validated platforms, and cross-functional behavior change at scale (scientists + manufacturing users).

Scope & Accountability

• Own multi-site, multi-system ELN + MES program delivery
• Accountable for end-to-end data integrity from experiment manufacturing execution
• Operate across:
• R&D
• Analytical & QC labs
• Manufacturing / shopfloor systems
• Drive standardization across lab and manufacturing workflows
• Control program-level governance, funding alignment, and executive reporting

Core Responsibilities

1. Enterprise ELN & MES Program Ownership (Primary)

• Lead full lifecycle:
  strategy design configuration integration validation deployment adoption optimization
• Own delivery across lab systems and manufacturing platforms (MES)
• Align scientific data strategy with manufacturing execution and batch data flows
• Deliver against measurable outcomes:
• Adoption
• Data quality
• Compliance
• Cycle time (lab + manufacturing)

2. Scientific & Manufacturing Workflow Engineering (Primary)

• Translate:
• Experimental workflows (R&D, QC)
• Manufacturing processes (batch execution, shopfloor operations)
  into structured digital systems
• Standardize:
• Experiment design (ELN)
• Batch records & execution workflows (MES)
• Ensure:
• Traceability from development production
• Reproducibility and process consistency
• Redesign legacy lab and paper-based manufacturing practices

3. Regulated Validation & Data Integrity Leadership (Primary)

• Own CSV/CSA validation strategy across:
• ELN
• MES
• Integrated lab/manufacturing systems
• Ensure compliance with:
• GxP
• 21 CFR Part 11
• ALCOA+ principles
• Accountable for:
• Audit readiness (lab + manufacturing inspections)
• Validation documentation completeness
• Inspection defense (QA, regulatory authorities)

4. Cross-System Lab-Manufacturing Architecture & Integration

• Lead integration across:
• ELN
• LIMS
• CDS
• SDMS
• MES
• ERP (where applicable)
• Data & analytics platforms
• Ensure end-to-end digital thread:
  Experiment Analytical Testing Release Manufacturing Execution
• Maintain data flow integrity and interoperability across lab and shopfloor systems
• Align with enterprise digital manufacturing and data platform strategies

5. Governance & Decision Authority (Primary)

• Establish governance frameworks:
• RAID
• Decision logs
• Steering committees
• Own critical trade-offs:
• Usability vs compliance
• Standardization vs site-specific manufacturing needs
• Speed vs validation rigor
• Interface with:
• Scientific leadership
• Manufacturing leadership
• QA
• IT executives

6. Adoption, Change & Behavioral Transformation (Primary)

• Drive adoption across:
• Scientists
• QC analysts
• Manufacturing operators & supervisors
• Own:
• Training strategies (lab + shopfloor)
• Usage standards
• Template and batch record governance
• Track and enforce:
• Active system usage
• Data completeness
• Process adherence
• Actively intervene where adoption fails

7. Global Delivery Leadership

• Deliver across:
• Global lab environments
• Manufacturing sites / plants
• Harmonize:
• Scientific practices
• Manufacturing processes
• Navigate regulatory variations across regions

Success Metrics (Outcome-Based)

• ELN adoption rate (>85%)
• MES adoption and digital batch execution compliance
• End-to-end data traceability (lab manufacturing)
• Validation cycle time and inspection outcomes
• Reduction of:
• Paper lab notebooks
• Paper batch records
• Shadow systems
• Improvements in:
• Experiment reproducibility
• Manufacturing right-first-time rates
• Data accessibility
• Release and reporting cycle time

Non-Negotiable Requirements (Hard Gates)

• 10-15+ years in IT delivery with program-level ownership
• 8+ years delivering ELN or scientific data platforms in regulated environments
• 5+ years of MES implementation or integration experience (e.g., batch execution, eBR)
• 5-8 years of GxP validation (CSV/CSA) ownership across lab and/or manufacturing systems
• 5+ years driving adoption across scientific and/or manufacturing organizations
• 5+ years integrating:
• ELN with LIMS/CDS/SDMS
• AND/OR MES with lab systems
• Proven decision-making authority (not support roles)

Preferred (High-Value Differentiators)

• Hands-on experience with:
• ELN: Benchling, IDBS, BIOVIA, LabWare
• MES: Werum PAS-X, Siemens Opcenter, Rockwell PharmaSuite, Syncade
• Experience in:
• Pharma / biotech / life sciences manufacturing
• Digital lab + digital manufacturing transformation programs
• Strong exposure to:
• eBR (electronic batch records)
• Tech transfer (R&D manufacturing)
• Experience influencing:
• Scientific leadership
• Manufacturing leadership
• QA governance bodies

Critical Competencies

• Scientific IT Manufacturing translation capability
• Deep understanding of regulated lab and manufacturing ecosystems
• Strong data integrity mindset across system boundaries
• Authority in ambiguity and cross-functional conflict
• Behavioral change leadership across lab and shopfloor users
• Ability to design and govern end-to-end digital thread architectures

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer,we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

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