Delivery Manager- Life Sciences

3 days ago

Chennai, Tamil Nadu, India Agilisium Consulting Full time

We are seeking an experienced 18+ years - Delivery Manager with deep expertise in the Life Sciences (Pharma, Biotech) domain to lead the end-to-end delivery of IT projects, ensuring alignment with business goals, compliance, and innovation. The ideal candidate will manage cross-functional teams, oversee Agile/Waterfall delivery, and drive digital transformation in areas like R&D, Clinical Trials, Regulatory, Manufacturing, or Commercial Operations.

Key Responsibilities

-Project Delivery Leadership:

  • Lead the planning, execution, and delivery of IT projects (e.g., SaaS, ERP, Data Analytics, Cloud, LIMS, CTMS, QMS) within the Life Sciences domain.
  • Ensure projects meet scope, timeline, budget, and quality standards (GxP, FDA, HIPAA, GDPR compliance as needed).

-Stakeholder & Vendor Management:

  • Collaborate with business stakeholders (R&D, Manufacturing, QA, Commercial) to translate requirements into IT solutions.
  • Manage third-party vendors, SaaS providers, and offshore teams.

-Domain Expertise:

  • Apply knowledge of Life Sciences processes (e.g., Clinical Development, Regulatory Submissions, Serialization, Supply Chain, Pharmacovigilance).
  • Stay updated on industry trends (e.g., Digital Health, AI/ML in Drug Discovery, Real-World Evidence).

-Risk & Compliance:

  • Mitigate risks and ensure adherence to regulatory standards (21 CFR Part 11, ISO 13485, ICH-GCP).
  • Drive validation (IQ/OQ/PQ) for regulated systems.

-Team Leadership:

  • Mentor teams (developers, analysts, QA) and foster Agile/DevOps practices.
  • Optimize delivery processes using tools like JIRA, ServiceNow, or Azure DevOps.

Qualifications

  • Hands-on experience with systems like Veeva, Salesforce Health Cloud, SAP S/4HANA, LabVantage, or Medidata Rave.
  • Certifications: PMP, CSM, SAFe, or ITIL preferred.
  • Skills:
  • Strong understanding of SDLC, Agile, and compliance frameworks.
  • Excellent communication and stakeholder management.

Preferred Attributes

  • Experience with AI/ML, IoT, or Blockchain in Life Sciences.
  • Knowledge of emerging tech (e.g., Federated Learning for Clinical Trials)

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