Job Description

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Manager - Supply Chain Data Science
Position Overview
We are seeking an experienced Associate Manager to join our Supply Chain and Manufacturing Practice, combining deep data science expertise with supply chain domain knowledge. This role involves engaging with Supply Chain Leaders globally to define analytical solutions that drive process optimization, predictive insights, and strategic decision-making across the supply chain ecosystem.
Experience Requirements

• Master's degree with 6+ years of relevant experience in Supply Chain Analytics/Data Science, with 7+ years of experience overall, OR
• Graduate degree with 7+ years of relevant experience in Supply Chain Analytics/Data Science, with 9+ years of experience overall

Job Location

• Primary Location: Bangalore, India
• Additional Locations: Chennai, Pune, NCR & Kolkata offices (flexible based on candidate preference)

Key Responsibilities
Client Engagement & Leadership

• Lead 1-3 client engagements simultaneously, ranging from 4-6 week high-intensity pilots to 3-6 month full-scale solution implementations
• Interface with global Supply Chain Leaders to identify analytical needs and solution requirements
• Build and maintain strong client relationships while ensuring high-quality deliverable standards
• Translate complex supply chain challenges into data-driven analytical frameworks

Team Leadership & Project Management

• Lead and mentor teams of highly motivated Analysts, Senior Analysts, and Engineers
• Maintain complete command over project status and deliverables
• Demonstrate hands-on leadership by actively contributing to technical solutions when needed
• Drive last-mile adoption through effective change management strategies

Data Science & Analytics

• Design and implement advanced analytics solutions for supply chain optimization
• Build predictive models for demand forecasting, inventory optimization, and supply planning
• Develop machine learning algorithms for procurement analytics, transportation optimization, and production planning
• Create repeatable analytical tools and data models to solve specific business problems
• Apply statistical methods and operations research techniques to complex supply chain challenges

Technical Solution Architecture

• Design sustainable, scalable, and self-serve analytical solutions for clients
• Oversee development of data pipelines and ETL processes for supply chain data
• Ensure integration of analytical solutions with existing supply chain software and modules
• Drive adoption of cloud-based analytics platforms and modern data architectures

Required Qualifications
Supply Chain Domain Expertise

• Deep expertise in 1+ supply chain functions (procurement, transportation, manufacturing, etc.)
• Broad exposure across the SC value chain: Procurement, Inbound Logistics, Production, Inventory & Demand Planning, Outbound Logistics, Retailing
• Ability to hold independent conversations with clients and drive discussions through clear communication
• Working knowledge of various supply chain solutions and software modules

Data Science & Analytical Skills

• Programming Languages: Advanced proficiency in Python/R for statistical modeling and machine learning
• Database Management: Strong SQL skills for complex data querying and manipulation
• Data Processing: Experience with Excel, SQL, Alteryx or similar platforms
• Machine Learning: Hands-on experience with supervised/unsupervised learning, time series forecasting, optimization algorithms
• Visualization: Proficiency in Tableau, PowerBI or similar platforms for executive-level reporting
• Statistics: Strong foundation in applied mathematics, statistics, and operations research
• Big Data: Experience with cloud platforms (AWS, Azure, GCP) and big data technologies

Leadership & Consulting Skills

• Process Consulting: Ability to understand root causes and design complex analytical solutions
• Program Management: Experience managing end-to-end solution delivery and adoption
• Product Management: Capability to design repeatable solution assets and frameworks
• Growth Mindset: Proven track record of training and developing analytical talent

Technical Competencies

• Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch)
• Knowledge of optimization techniques (linear programming, network optimization)
• Familiarity with supply chain planning systems (SAP, Oracle, Blue Yonder, etc.)
• Understanding of IoT and real-time analytics for supply chain monitoring
• Version control systems (Git) and collaborative development practices

Preferred Qualifications

• Advanced degree in Data Science, Operations Research, Industrial Engineering, or related field
• Certification in supply chain management (APICS, CSCMP)
• Experience with advanced analytics in manufacturing and logistics
• Knowledge of supply chain digital transformation initiatives
• Publications or thought leadership in supply chain analytics
• Consulting experience with Fortune 500 companies

Career Growth Opportunities
Multiple career paths available based on your inclination and expertise:

• Supply Chain Delivery Manager: Focus on large-scale implementation and client success
• Supply Chain Process Consultant: Specialize in business transformation and process optimization
• Supply Chain Solution Architect: Lead technical architecture and product development

What We Offer

• Impact: Tremendously impactful role with opportunity to join Supply Chain Practice Leadership team
• Ownership: Independence in design, execution, and P&L responsibility for projects and accounts
• Growth: Unique role that develops both thought leadership and operational leadership capabilities
• Environment: Work with industry-best talent in an organization with high standards for excellence
• Rewards: Opportunity to exceed targets with substantial performance-based compensation
• Innovation: Access to cutting-edge analytics tools and methodologies
• Global Exposure: Interface with supply chain leaders from various large organizations worldwide

Core Competencies Expected
You should demonstrate expertise across multiple dimensions:

• Analytical Mindset: Leverage data to build relevant, impactful solutions
• Technical Mindset: Design sustainable, scalable, and client-friendly solutions
• Process Consulting: Understand problem complexity and solution requirements
• Program Management: Enable smooth solution delivery and adoption
• Product Management: Develop repeatable solution assets and frameworks
• Growth Leadership: Train, develop, and grow high-performing teams

About Company:
Welcome to Tredence! Since our founding in 2013, we have been dedicated to transforming data into actionable insights, helping over 50 Fortune 500 clients win in their respective industries. With our headquarters in San Jose and a presence in 5 countries, our mission is to be the world's most indispensable analytics partner. At Tredence, we blend deep domain expertise with advanced AI and data science to drive unparalleled business value. We are excited to have you join us on this innovative journey.