AS

Lead consultant - Process Excellence

Astrazeneca
Chennai5-12 LPA Posted 13 Jun 2025
FULL TIME
Data Analysis
Regulatory Compliance
Process Optimization
AI ML
Project Management

Job Description

  • Optimize AI and data analytics workflows, ensuring efficiency, scalability, and compliance with regulatory, ethical, and internal policies for manufacturing and operations.
  • Provide project management support by tracking milestones, running risks, and ensuring timely delivery of digital, AI, and analytics projects.
  • Align AI and data initiatives with manufacturing, supply chain, and PT&D teams, managing cross-dependencies.
  • Develop integrated delivery plans across multiple AI and analytics initiatives in manufacturing.
  • Manage demand across functions and facilitate project mobilization.
  • Oversee smooth project transitions into BAU support.
  • Manage vendor and partner relationships to ensure the successful delivery of data and AI solutions.
  • Drive innovation and Proof of Concepts (PoCs) for the Data Analytics & AI team, seeing opportunities for new technologies.
  • Supervise AI governance, process optimization, and project management trends to enhance execution models.
  • Establish important metrics to measure the success and impact of AI initiatives in manufacturing and operations.
  • Engage collaborators and ensure effective communication on project progress, governance, and operational impact.

Essential Skills/Experience

  • Bachelors or Master s degree in Computer Science and related field
  • 7+ years of experience in process excellence or project management within a data analytics or AI-driven environment.
  • Strong understanding of AI governance frameworks, regulatory compliance, and ethical considerations, particularly in operational and manufacturing settings.
  • Proven experience in project management methodologies such as Agile, Scrum, or PMP, with direct experience in manufacturing and operations project delivery.
  • Excellent communication and partner leadership skills.
  • Experience in the pharmaceutical or healthcare industry is a plus.
  • Familiarity with AI/ML lifecycle management is desirable.