Manager, Supply Chain Analytics, PI - Global Capability Center

About Alvarez & Marsal

Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work—guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity - are why our people love working at A&M.

The Team

At A&M GCC, Supply Chain and Manufacturing professionals assist our clients in analyzing manufacturing operations, supply chain and distribution channels, procurement, SG&A operations and Operating model effectiveness for potential value creation opportunities and to help drive them during our client’s ownership. From our thorough fact-based analysis, we assess the state of current operations, identify performance improvement opportunities and quantify potential EBITDA improvement areas across plan, source, make and deliver functions

Our Supply Chain and Manufacturing team under Performance Improvement vertically is growing significantly and hence we are seeking a highly motivated Senior Associate who can support supply chain transformation engagements through data analytics, modelling, and operational analysis. The individual will work closely with senior leadership and client teams to deliver actionable insights and support performance improvement initiatives

How You Will Contribute

• Skills – Python, ML
• Develop and automate data pipelines using Python for ingestion, cleansing, and transformation of supply chain data
• Support development and enhancement of predictive analytics models in Python (e.g., demand forecasting, inventory optimization) using libraries such as pandas, scikit-learn, stats models, and Prophet
• Develop and maintain anomaly detection models to identify irregularities in procurement costs, delivery timelines, and inventory movements.
• Development of ETL workflows for integrating data from SAP, SQL databases, and Excel-based trackers.
• Use Python for simulation of what-if scenarios in logistics and capacity planning
• Hyper Parameter tuning to enhance the performance of models
• Demand & Supply Planning
• Strong Experience in demand planning and supply planning processes including forecasting, supply planning, production planning, scheduling, and data analysis.
• Performed demand pattern analysis and segmentation to develop the right forecasting strategy.
• Experience working with statistical forecasting, machine learning models, and supply planning optimization techniques.
• Support forecast aggregation/disaggregation activities and monitor forecast performance metrics.
• Logistics, Transportation planning
• Conduct as-is logistics network diagnostics including transport lanes, DC locations, lead times, and costs
• Develop and support optimization models for production scheduling, routing, and load planning using tools such as PuLP, Pyomo, Heuristics, and OR-Tools.
• Analyze opportunities for logistics network optimization and process improvement.
• Model future-state scenarios for network expansion, last-mile agility, and service level improvements
• Analyze the current transportation / logistics operations and identify gaps by doing various statistical approaches
• Logistics Analytics & Reporting
• Developed MIS dashboards on logistics cost, delivery performance, service level adherence, and transit lead times
• Implemented RCA frameworks to identify recurring fulfilment bottlenecks
• Assist in benchmarking logistics KPIs across regions/sites and identifying improvement opportunities.
• Manufacturing Analytics
• Analyse production planning, scheduling, and capacity data to identify inefficiencies in make operations across plan-to-produce cycles
• Develop models to track and improve key manufacturing KPIs — OEE, scrap rate, yield variance, and labour productivity — using plant-level ERP and MES data
• Support client engagements on downtime root cause investigation, line balancing, and production throughput optimisation

• Minimum of 6–11 years of experience in data science / modelling for functions across supply chain, i.e., logistics, transportation, distribution strategy, or downstream supply chain execution roles
• Previous advisory experience from a top-tier strategy firm, niche logistics consulting firm, or Big-4 consultancy preferred
• Bachelor’s degree in engineering, logistics, supply chain, or a related field
• MBA / Master’s degree in supply chain & Operations, Logistics, Business Administration, or similar discipline is preferred
• Hands-on experience in Python with focus on statistical analysis, machine learning, and data modelling
• Strong analytical and storyboarding skills to translate operational insights into client-ready presentations and recommendations
• Excellent communication and interpersonal skills with the ability to work effectively across global teams and client environment
• Ability to support multiple engagements simultaneously and deliver high-quality work within tight timelines
• Experience in KPI tracking and performance dashboards
• Strong analytical, quantitative, and root-cause problem-solving skills

We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career. We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.