Life sciences - Sr.Project Manager @ Agilisium

Job Description

Job Title: IT Project Manager (Life Sciences)
Location: OMR, Chennai
Work Mode: On-site (Ready to work from office)
Experience: 12+ Years

Job Description:

We are looking for an IT Project Manager with deep expertise in Life Sciences (Pharma/Biotech/MedTech) and hands-on experience managing Data Engineering projects. The ideal candidate will have 12+ years of experience leading IT initiatives, including data pipelines, cloud-based analytics, and regulatory-compliant data solutions in the Life Sciences domain.

Key Responsibilities:

• Lead end-to-end IT and Data Engineering projects (data lakes, ETL/ELT, warehousing, AI/ML pipelines) in compliance with GxP, 21 CFR Part 11, and GDPR.
  
• Manage cross-functional teams (IT, Data Scientists, DevOps, Business Analysts) to deliver scalable data solutions.
  
• Oversee cloud-based data platforms (AWS/Azure/GCP), ensuring architecture aligns with Life Sciences regulations.
  
• Drive data governance, quality, and integrity initiatives for clinical, manufacturing, and commercial data.
  
• Collaborate with stakeholders to define data strategy, metadata management, and analytics roadmaps.
  
• Ensure adherence to Agile/Scrum/DevOps methodologies for data project delivery.
  
• Mitigate risks related to data security, privacy, and regulatory audits (e.g., FDA, HIPAA).
  

Required Skills & Qualifications:

• 12+ years in IT Project Management, with 5+ years in Data Engineering projects (ETL, data warehousing, Big Data).
  
• Strong Life Sciences domain knowledge (e.g., clinical trials, genomics, drug manufacturing, MedTech data).
  
• Hands-on experience with:
  
• Data Technologies: SQL, Python, Spark, Kafka, Databricks, Snowflake, or similar.
  
• Cloud Platforms: AWS (Glue, Redshift), Azure (Synapse, Data Factory), or GCP (BigQuery).
  
• Regulatory Compliance: GxP, CSV, ALCOA+ principles for data integrity.
  
• Familiarity with AI/ML pipelines and real-time analytics in Life Sciences.
  
• Certifications like PMP, AWS/Azure Data Engineer, or CDMP are a plus.
  
• Excellent communication and stakeholder management skills.
  

Preferred Experience:

• Life Sciences-specific tools: Veeva Vault, Medidata Rave, OMOP/CDISC, SAS, or LIMS.
  
• Master Data Management (MDM) and Data Mesh/Fabric implementations.
  

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Keyskills:   Life Sciences Project Management Profit And Loss Project Monitoring Project Documentation Project Planning Project Scheduling Salesforce