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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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, .

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