AI/Data Science, Automation & Insights Specialist - Procurement

Iron Mountain — IND | Bangalore | Level 10, CITRINE Block, WTC-4, Bagmane World Technology Center

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation. Job Summary Iron Mountain is seeking a Procurement professional who is fluent in AI/Data Science, automations and reporting . We are a Procurement organization in transformation, and are seeking someone who will architect the digital DNA of the department. In this role, you will be the primary architect of our "Digital North Star," leading a ground-up transformation to build an artificial intelligence-first procurement ecosystem. Operating without legacy constraints, you will be responsible for assessing our current manual Source-to-Pay processes, designing a strategic automation roadmap, and implementing intelligent orchestration layers that transform raw spend data into competitive market intelligence. You will join a forward-thinking, collaborative team dedicated to pioneering new operational models and eliminating traditional system inefficiencies from the start. What You’ll Do In this role, you will: Design and execute the digital procurement roadmap by conducting maturity assessments of manual workflows, establishing robust data governance for L

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