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.
