
Tredence is a global data science solutions provider focused on bridging the gap between insights delivery and value realization, helping clients address the 'last mile' problem in AI. They achieve this by enabling the adoption of data science solutions, powered by industry-specific expertise and AI/ML accelerators through their Tredence Studio. The company emphasizes a vertical-first approach and an outcome-driven mindset to help clients accelerate value realization from their analytics investments. Tredence has been recognized as a 'Leader' in the Forrester Wave: Customer Analytics Services and is a Great Place to Work-Certified company. With over 3500 employees, Tredence serves major companies across retail, CPG, hi-tech, telecom, healthcare, travel, and industrials, recently expanding its capabilities in financial services through the acquisition of Further Advisory.

Tredence is a global data science solutions provider focused on bridging the gap between insights delivery and value realization, helping clients address the 'last mile' problem in AI. They achieve this by enabling the adoption of data science solutions, powered by industry-specific expertise and AI/ML accelerators through their Tredence Studio. The company emphasizes a vertical-first approach and an outcome-driven mindset to help clients accelerate value realization from their analytics investments. Tredence has been recognized as a 'Leader' in the Forrester Wave: Customer Analytics Services and is a Great Place to Work-Certified company. With over 3500 employees, Tredence serves major companies across retail, CPG, hi-tech, telecom, healthcare, travel, and industrials, recently expanding its capabilities in financial services through the acquisition of Further Advisory.
What they do: Data science and AI solutions provider focused on turning analytics/AI insights into business value ('last-mile' problem)
Headquarters: San Jose, California
Employees: ~3,337
Total funding: USD 205,000,000
Recent major investor: Advent International (Series B, Dec 2022)
Founded: 2013
Last-mile adoption of analytics and AI — turning insights into operational business value
2013
Data science / AI services
USD 175,000,000
USD 30,000,000
“Private equity and venture investors (Advent International acquired a minority stake and joined the board; Chicago Pacific Founders is a meaningful investor)”
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. * with years of relevant experience in Supply Chain Analytics/Data Science, with years of experience overall, OR * with years of relevant experience in Supply Chain Analytics/Data Science, with years of experience overall * Bangalore, India * Chennai, Pune, NCR & Kolkata offices (flexible based on candidate preference) * 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 * 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 * 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 * 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 * in 1+ supply chain functions (procurement, transportation, manufacturing, etc.) * 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 * Advanced proficiency in Python/R for statistical modeling and machine learning * Strong SQL skills for complex data querying and manipulation * Experience with Excel, SQL, Alteryx or similar platforms * Hands-on experience with supervised/unsupervised learning, time series forecasting, optimization algorithms * Proficiency in Tableau, PowerBI or similar platforms for executive-level reporting * Strong foundation in applied mathematics, statistics, and operations research * Experience with cloud platforms (AWS, Azure, GCP) and big data technologies * Ability to understand root causes and design complex analytical solutions * Experience managing end-to-end solution delivery and adoption * Capability to design repeatable solution assets and frameworks * Proven track record of training and developing analytical talent * 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 * 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 Multiple career paths available based on your inclination and expertise: * Focus on large-scale implementation and client success * Specialize in business transformation and process optimization * Lead technical architecture and product development * Tremendously impactful role with opportunity to join Supply Chain Practice Leadership team * Independence in design, execution, and P&L responsibility for projects and accounts * Unique role that develops both thought leadership and operational leadership capabilities * Work with industry-best talent in an organization with high standards for excellence * Opportunity to exceed targets with substantial performance-based compensation * Access to cutting-edge analytics tools and methodologies * Interface with supply chain leaders from various large organizations worldwide You should demonstrate expertise across multiple dimensions: * Leverage data to build relevant, impactful solutions * Design sustainable, scalable, and client-friendly solutions * Understand problem complexity and solution requirements * Enable smooth solution delivery and adoption * Develop repeatable solution assets and frameworks * Train, develop, and grow high-performing teams