Manager, Supply Chain Analytics
11 hours ago
Ready to build the future with AI?
At Genpact, we don't just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment.
Genpact (NYSE\: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, X, YouTube, and Facebook.
We are inviting applications for the role of Manager, Supply Chain Analytics
We are looking for a Supply Chain Management Resource who would be responsible for supply chain delivery & domain expertise, and delivering analytics and reporting projects.
Responsibilities· Consulting w/ CPG/Life Science majors solving their Supply Chain business problems
· Design Supply Chain Analytical solutions – Define KPIs and metrics and develop BI solutions
· Handle large datasets – Identify, analyze and interpret trends or patterns in complex data sets using statistical techniques and generate actionable insights
· Work closely with global client's multiple cross-functional teams to identify business needs, requirements and prioritize needs
· Participate in client meetings, workshops and understand supply chain situation/issues
Qualifications we seek in youMinimum qualifications· MBA/M Tech Industrial Engineering or Management /PG in Engineering or Statistics/Ph.D. in Operations research/optimization domain
· Relevant Work experience in Supply Chain
· Exposure in ERPs – SAP, JDE, Oracle, etc.
· Hands-on experience in Supply Chain areas like Demand Planning, Forecasting, Supply Planning, Inventory Management, Logistics
· Good analytical skills with the ability to collect, organize and analyze significant amounts of data with attention to detail and accuracy
· Manage a team of 8-10 people
· Proficiency with Microsoft Applications - Excellent MS excel, PowerPoint skills is a must
· Good team player and ability to manage large teams
· Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations
· Flexibility to adapt to a variety of engagement types, working hours and work environments, and locations
· Good communication and negotiation skills
· Has worked in the Supply Chain – Life Sciences / CPG space with hands-on experience in the area of Demand Planning/Supply Planning/Inventory Management/Logistics
· Clearly understands the following areas with hands-on work on at least 2-3 areas, incl but not limited to, Forecasting, Demand Planning, Capacity Planning, Inventory management, Supply Planning, Logistics, Procurement
· Has conducted assessments / blueprinting/due diligence for prioritization problem statements, planning offshore ability, building solution architecture
· Is seen as an inspiring leader who can build PoVs, help structure POCs, is client front-ending, is a story-boarder, can respond to RFP/RFIs
· Worked on Digital Transformation (data strategy incl orchestration, Governance, Architecture, BI to build reporting/insights/analytics factory)
· Designed Analytical solution either around Demand Forecasting, Inventory Optimization, Network Planning, Capacity Planning
· Has a mix of modeling & programming experience & led analytics delivery
· Has done modeling work for solving core business issues using forecasting, predictive modeling, Machine learning/python / R
· Proficient in BI Tools\: Tableau/Power BI
· Ability to learn different analytical tools as per business requirement
· Good knowledge of various statistical forecasting and inventory optimization techniques
· Good written and oral communication skills
Preferred qualifications· Relevant work experience in the Life Science / CPG domain
Why join Genpact?
• Lead AI-first transformation – Build and scale AI solutions that redefine industries
• Make an impact – Drive change for global enterprises and solve business challenges that matter
• Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
• Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
• Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build
• Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters\: Up.
Let's build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
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