Associate Vice President - Commodity Forecasting

TSC - Associate Vice President

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence - WNS’ core differentiator - with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Job Description

Role overview

Position: Senior Manager / AVP - Commodity Forecasting

This is a senior delivery, client advisory and practice leadership role responsible for leading commodity forecasting engagements, strengthening forecasting methodologies, managing senior client stakeholders and developing a high-performing forecasting team.

Roles and responsibilities

• Lead end-to-end commodity price forecasting engagements across multiple clients, with ownership of delivery quality, forecasting rigour, timelines, governance and business impact.
• Own solution design for forecasting assignments, including scoping, effort estimation, work planning, model approach, data strategy, validation methodology and final client narrative.
• Provide technical leadership on econometric and time-series forecasting, driver selection, scenario analysis, back-testing, forecast accuracy review, structural-break handling and triangulation with market intelligence.
• Act as the primary client lead / project lead for assigned accounts; manage senior stakeholder interactions, expectation setting, escalation management, feedback loops and periodic business reviews.
• Translate commodity market developments across supply-demand, feedstocks, macroeconomics, policy, trade, logistics and geopolitical factors into clear forecast assumptions and actionable client recommendations.
• Review and challenge team outputs to ensure client-ready quality, clear storyline, robust logic, strong data support, well-explained risks and consistent adherence to agreed methodologies.
• Lead, mentor and develop a team of 8-15+ analysts / consultants / managers, including staffing, prioritisation, capability building, performance feedback, coaching and career development.
• Drive practice-building initiatives such as reusable forecasting templates, model QA checklists, automation workflows, data-source mapping, knowledge repositories and standard operating procedures.
• Partner with sales, solutions and account teams on proposals, demos, POCs, scope discussions and identification of up-sell / cross-sell opportunities within commodity intelligence and forecasting.
• Contribute to hiring, training, onboarding and broader organisational initiatives while promoting a culture of ownership, analytical excellence, collaboration and continuous improvement.

Ideal Candidate

• 10-14+ years of relevant experience in commodity forecasting, commodity research, procurement intelligence, market intelligence, econometrics, data science or consulting-led analytics.
• Thorough knowledge of econometrics and forecasting methods, including regression, time-series modelling, leading indicators, ARIMA / VAR / ARDL or similar approaches, model diagnostics and out-of-sample validation.
• Strong hands-on or supervisory capability in Python / R, with the ability to guide data automation, model development, dashboarding, repeatable workflows and quality-control frameworks.
• Deep understanding of commodity market drivers and ability to connect macroeconomic indicators, supply-demand balances, input costs, policy changes, trade flows and geopolitical events to price outlooks.
• Proven experience managing multiple client accounts or large workstreams independently, including senior stakeholder communication, ambiguous problem solving, issue resolution and commercial judgement.
• Strong people leadership skills, with experience managing sizeable teams, developing future managers, giving structured feedback and maintaining team motivation in a high-delivery environment.
• Ability to act as a technical advisor across multiple projects without necessarily being hands-on in every analysis, while still ensuring methodological robustness and client relevance.
• Excellent written and verbal communication skills, with the ability to convert complex models and market signals into concise, senior-client-ready insights and recommendations.
• Commercial mindset, with the ability to identify solution improvements, new use cases, client expansion opportunities and productivity gains through tools, automation and process standardisation.
• Calm, composed and fair decision-maker with strong business acumen, sound judgement, high ownership, proactive communication and the ability to take tough decisions with reasoning and logic.
• Result-oriented, self-driven, collaborative and comfortable operating in a fast-paced environment with multiple priorities and senior stakeholder expectations.

 

Qualifications

MBA/ Post Graduate

Experience Level

Mid Level