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    Home/Jobs/Sr. Procurement AI & Analytics Lead

    Sr. Procurement AI & Analytics Lead

    Novartis

    Hyderabad
    14+ years
    Today
    ₹50–88 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Agentic AI
    Python
    Cloud platforms (Azure
    AWS
    Data Engineering
    REST API
    Event-driven architectures

    Description

    At Novartis, we reimagine medicine to improve and extend people’s lives. In this role, you will play a critical part in advancing our Procurement digital transformation agenda by shaping and delivering innovative, AI‑enabled technology solutions. You will lead the design, development, and deployment of intelligent platforms—particularly agentic AI solutions—that enhance decision‑making, drive efficiency, and create measurable business impact.

    Company: Novartis

    Role: Sr. Procurement AI & Analytics Lead

    Location: India

    Experience:

    • 14+ years of experience in AI product management or related roles
    • procurement technology experience is a strong advantage

    Key Skills:

    • Generative AI
    • Large Language Models (LLMs)
    • agentic AI frameworks
    • Python
    • cloud platforms (Azure, AWS, or GCP)
    • scalable infrastructure
    • data engineering principles
    • model evaluation
    • prompt engineering
    • enterprise integrations such as REST APIs and event‑driven architectures

    Qualification:

    • Bachelor’s or Master’s degree in Engineering, Computer Science, Business, or a related field

    Role Focus:

    • Lead cross-functional teams to design, build, and launch AI-powered solutions for procurement
    • Define product vision, strategy, and roadmaps for technology initiatives
    • Oversee the end-to-end development of MVPs (Minimum Viable Products) for agentic AI
    • Collaborate with stakeholders to gather requirements, validate use cases
    • Ensure compliance with data privacy, security, and ethical AI standards
    • Monitor and optimize platform health, AI model performance, and system resource usage

    Additional responsibilities:

    • Foster a culture of innovation, continuous improvement, and upskilling within the team
    • Communicate project status, risks, and outcomes to leadership and stakeholders
    • Manage vendor relationships to review make vs buy products

    Other:

    • Strong product leadership, deep technical expertise, and a commitment to ethical, secure, and responsible use of AI to deliver sustainable value across the enterprise
    • Experience working in agile environments, including sprint planning, prioritization, and leadership of cross-functional teams to deliver complex solutions at scale
    • Strong strategic thinking, problem-solving, and decision-making capabilities, with a clear commitment to ethical AI practices, responsible innovation, and governance

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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