yoinka

Mgr, Supply Chain Mgmt

Carrier Global

Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, IndiaMid
Sign in to applyVerified 2h ago
Location
Building No: 12C, Floor 9,10,11, Building No: 12B -Stilt floor, Raheja Mindspace, Cyberabad, Madhapur, Hyderabad - 500081, Telangana, India
Work model
On-Site
Level
Mid
Posted
12h ago

Skills

Power BISnowflake

About this role

Manager – AI-Led Digital Transformation, Supply Chain & Procurement Function Global Supply Chain & Procurement Centre of Excellence / Digital Transformation Location Gurgaon / Hyderabad, India Reports To Procurement Data & AI Lead / Supply Chain Digital Transformation Leadership Experience 8–12 years; flexible by seniority and depth of AI / transformation experience Employment Type Full-time Role Focus AI agents, intelligent automation, data integration, analytics products, and AI-led process transformation Role Summary This role leads AI-led digital transformation across global supply chain and procurement, combining digital product ownership, data integration, analytics, automation, and agentic AI delivery. The mandate is to move from manual reporting and reactive dashboards to intelligent workflows and production-grade AI agents that support spend analytics, logistics visibility, source-to-pay execution, commodity and supplier intelligence, RFQ/RFP automation, and executive decision-making.

Role

Purpose We are looking for a builder and transformation leader who can translate business problems into AI-enabled products and workflows. The role will partner with procurement, supply chain, category, plant, finance, and IT stakeholders to design, deploy, govern, and scale AI agents and automation solutions that deliver measurable business impact.

Key Responsibilities

AI strategy & agent delivery ·       Define and lead an AI-first transformation roadmap across supply chain and procurement, moving beyond dashboards into autonomous and semi-autonomous AI agents that execute business processes. ·       Design, build, and scale AI agents for category spend analytics, source-to-pay intelligence, RFQ/RFP automation, supplier and commodity intelligence, exception management, and executive decision support. ·       Translate procurement and supply chain domain rules—including category taxonomies, hedging thresholds, compliance checks, exclusion logic, and approval triggers—into agent workflows and decision logic. Digital product & workflow transformation ·       Lead end-to-end digital product development for supply chain visibility, Logistics Control Tower capabilities, P2P automation, and cross-functional workflow digitization. ·       Map current-state processes across source-to-pay, logistics, category management, supplier onboarding, and planning; identify automation opportunities and redesign workflows for AI-augmented execution. ·       Build business agents, Copilot experiences, Power Platform solutions, and workflow automations that reduce manual analysis, improve cycle time, and increase decision quality. Data, platforms & integration ·       Establish scalable data and reporting ecosystems across ERP, TMS, source-to-pay, market data, Snowflake, SharePoint, Power BI, and Power Platform environments. ·       Integrate enterprise-wide spend and operational data across business units to create reusable data products and sustainable analytics workflows. ·       Partner with IT and data engineering teams to ensure data pipelines, governance, access controls, and AI-ready datasets support production-grade agent deployment. Analytics and decision intelligence ·       Design executive-ready Power BI and decision intelligence solutions that enhance visibility across supply chain, procurement, spend, logistics, and source-to-pay performance. ·       Enable automated insights, trend detection, savings analysis, risk sensing, should-cost comparison, bid analysis, and leadership-ready recommendations. ·       Measure business value through productivity gains, adoption, savings impact, risk reduction, cycle-time improvement, and decision accuracy. Change management, adoption & governance ·       Partner with category teams, plants, finance, procurement, supply chain, and IT to pilot, deploy, and scale AI solutions into production.