Associate Director, Validation Lead - Data & Digital
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Before you apply
LocationHyderabad (Office)
Work modeon-site
Typefull-time
SeniorityDirector
Experience10+ yrs
Company size10,000+ people
PostedOct 30, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Master’s or bachelor’s degree in chemistry, Pharmacy, Chemical Engineering, Computer Science, Biological Sciences, Pharmaceutical Technology, or a related scientific discipline.
10+ years of relevant experience in quality assurance and computer system validation
At least 2 years in Pharma/Healthcare
Strong knowledge of quality systems and global regulatory requirements across multiple health authorities
Excellent communication, negotiation, facilitation, and interpersonal skills
Cross-industry experience highly preferred
2+ years of international experience working with Global teams
Knowledge of pharmaceutical and/or life sciences domain is an advantage
Experience working in a matrix environment with cross-functional stakeholders is desirable
Skills
Artificial Intelligence
Biostatistics
Data Governance
Data Literacy
Data Quality
Data Science
Data Visualization
Deep Learning
Generative AI
Graph Algorithms
Machine Learning
Machine Learning Algorithms
Neuro-Linguistic Programming
Pandas Python Library
Python
R Programming
Structured Query Language
Time Series Analysis
Job Description Summary
As part of the ARD Data & Digital organization, the Associate Director – Validation Lead, Data & Digital is accountable for leading TRD’s digital capability validation strategy execution and governance, ensuring systems are implemented/deployed with the highest standards of compliance. The position is based in the Genome Valley, Hyderabad, within the Technical Research and Development Organization (TRD) of Global Drug Development (GDD).
Job Description
Major accountabilities:
•
Execute the TRD digital capability validation strategy, providing guidance and hands-on operational support to TRD teams.
•
Collaborate with Data & Digital, IT, Business, Quality and external service providers to ensure consistent validation standards globally.
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Own and maintain the validation master plan, ensuring timely execution and inspection readiness.
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Establish, monitor and improve TRD digital capability validation performance metrics to support compliance and operational excellence.
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Provide technical leadership for validation risk assessments, investigations, and complex validation challenges.
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Perform risk and impact assessments and define appropriate validation approaches based on system criticality and regulatory principles.
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Support new system implementations, system changes and the ongoing compliant operation of validated applications.
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Ensure data integrity and regulatory compliance throughout the system lifecycle.
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Represent the TRD organization during audits, inspections, and validation governance activities while maintaining compliance standards.
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Driving continuous improvement initiatives to enhance validation effectiveness, compliance, and operational performance.
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Reviewing validation protocols, reports, risk assessments, and related technical documentation.
Essential Requirement:
•
Master’s or bachelor’s degree in chemistry, Pharmacy, Chemical Engineering, Computer Science, Biological Sciences, Pharmaceutical Technology, or a related scientific discipline.
•
10+ years of relevant experience in quality assurance and computer system validation, with at least 2 years in Pharma/Healthcare. Cross-industry experience highly preferred. 2+ years of international experience working with Global teams.
•
Strong knowledge of quality systems and global regulatory requirements across multiple health authorities.
•
Knowledge of pharmaceutical and/or life sciences domain is an advantage
•
Experience working in a matrix environment with cross-functional stakeholders is desirable
•
Excellent communication, negotiation, facilitation, and interpersonal skills.
Skills Desired
Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Organizational Awareness, Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis
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