Digital Transformation Leader – Supplier Quality (Life Sciences)

Job Title: Digital Transformation Leader Supplier Quality (Life Sciences)

About the Role
Virtusa is seeking a high-caliber Digital Transformation Leader to spearhead the
evolution of the Supplier Quality (SQ) ecosystem for a global Life Sciences giant. This is
not just a program management role; it is a mandate to dismantle a fragmented legacy
landscape and architect a world-class Supplier Intelligence Control Tower. The portfolio
consists of over 5000 suppliers and relies on a fragmented system landscape where
Account Owners manually transfer data between disconnected tools (across Quality
Supply Chain areas) via complex workflows.
You will drive platform modernisation currently built on Quickbase to create a Control
Tower for the SQ team. You will lead the shift from a reactive manual posture to a
proactive predictive organization empowering Account Owners to transition from "Data
Entry Clerks" to "Insight Consumers".
Main duties/responsibilities will include:
Strategic Value Orchestration
Direct the SQ digital transformation initiatives overseeing the transition from a
fragmented architecture to a unified platform.
Manage the phased implementation roadmap starting with a 6-week discovery
phase defining use cases and securing executive funding for scale.
Address the "Iceberg Effect" by expanding digital visibility beyond Direct/BOM
suppliers to integrate Indirect/Service suppliers currently missing from digital
monitoring.
Technical Leadership: Data Excellence & Governance
Data Lakehouse Architecture: Oversee the transition from siloed Quickbase apps
to a Medallion Architecture on Databricks to ensure data integrity and lineage.
ETL/ELT Pipelines: Drive the strategy for real-time and batch data ingestion
using Apache Spark Azure Data Factory or AWS Glue.
Master Data Management (MDM): Lead the implementation of Identity
Resolution strategies to create a "Golden Record" for suppliers across disparate
ERP and QMS systems.

Advanced Analytics & AI Enablement
Oversee the deployment of advanced AI/ML use cases including Natural
Language Processing (NLP) for automated audit data extraction.
LLMOps & RAG: Technical oversight of Retrieval-Augmented Generation (RAG)
frameworks to allow users to query unstructured audit reports using natural
language.
Predictive Modeling: Deep understanding of the ML Lifecycle (MLOps)from
feature engineering for risk scoring to model monitoring and drift detection.
Guide the implementation of "Agentic AI" for autonomous 24/7 supplier
monitoring and the creation of Supplier Digital Twins for "what-if" risk simulations.
Regulatory Modernization & Change Journey
Lead organizational Change Journey Management to ensure high user adoption
of the new dashboards and automated workflows.
Establish strong governance and partner closely with Procurement Site Quality
MSAT and Management Teams to ensure the unified system supports end-to-
end oversight (Select Qualify Monitor Disengage).
Ensure all digital deployments strictly adhere to GxP validation standards and
support health authority (FDA/EMA) compliance requirements.
Computer Software Assurance (CSA): Shift from traditional CSV to CSA (FDAs
latest guidance) to accelerate the deployment of automated workflows.
Data Privacy & Security: Practical knowledge of Differential Privacy or data
masking techniques for handling PII/PHI within a Databricks/Cloud environment.
Audit Trails: Experience implementing automated immutable audit trails within
low-code and cloud-native applications.

Key Skills and Experience required for this role:
Experience: Must have over 12 years of leadership in IT/Digital Transformation
specifically within Life Sciences or Biopharma with a track record of delivering
$5M digital portfolios.
Domain Expertise: Deep authority on Supplier Quality Management (SQM)
QMS and global regulatory landscapes (FDA/EMA) is required to manage GxP
compliant platforms.
Architectural Fluency: Expertise in the Databricks Ecosystem (Unity Catalog
Delta Lake MLflow) is required.
o Deep understanding of Cloud Infrastructure (Azure/AWS) and the security
requirements of highly regulated data is preferred..
o Experience decommissioning/migrating legacy Low-Code/No-Code
(Quickbase PowerApps) environments.

o Strong understanding of API Management (Apigee MuleSoft) and
FHIR/HL7 standards (if applicable to supplier clinical data).
o Proven track record of operationalizing advanced data strategies
including Master Data Management (MDM) AI/ML and NLP technologies.
Technical Stack Knowledge: Proficiency in Cloudera Power BI Python and
SQL combined with a modern understanding of Prompt Engineering and AI
model orchestration is a must.
Advanced Governance: Mastery of DevSecOps and CI/CD pipelines specifically
tailored for data-heavy validated GxP environments.
Leadership: Exceptional cross-functional leadership skills with the ability to
manage SI partners navigate complex matrix organizations and present
strategic business cases to executive leadership
o Influencer: Proven ability to navigate complex matrix organizations and
manage high-stakes relationships with Tier-1 System Integrators.
o Strategist: Ability to translate complex technical jargon into compelling
business narratives for the C-Suite.
o Execution-Focused: Comfortable moving between high-level strategy and
technical "deep dives" with engineering teams.

Nice to Have:
SAFe Agile PRINCE2 Practitioner Certification
Experience working across Cloud Solutions - Azure AWS GCP Snowflake.
Experience tracking and managing business priorities and goals through OKRs.