OW DNA Overview

The Oliver Wyman DNA is a distinguished centre of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wyman’s clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results.

Role Summary:

The Lead will own and manage end-to-end analytical delivery across multiple workstreams in a project, working closely with global clients and internal stakeholders. This role requires deep supply chain expertise, business understanding, exceptional analytical thinking, and expert proficiency in SQL and Excel. The Lead will work with consulting teams on analytics driven supply chain transformation projects, solve complex operational problems, and guide a team of Analysts and Senior Analysts through structured execution. They will also ensure high-quality delivery, strong governance, and clear communication to senior stakeholders. This is a highly client-facing and leadership-oriented role suited for someone with an entrepreneurial mindset and the ability to work independently

Key Responsibilities

Team & Delivery Leadership

• Lead and oversee multiple analytical workstreams in a project, ensuring clear planning, timely execution, and high-quality outputs

• Guide Analysts and Senior Analysts through requirement breakdown, task planning, execution reviews, and capability development

• Allocate and prioritize tasks effectively to ensure seamless delivery across competing timelines

• Review SQL pipelines, Excel models, and analytical frameworks to ensure accuracy, consistency, and adherence to best practices

• Maintain structured governance, documentation, and information flow across all deliverables

Business & Financial Problem Solving

• Interpret full financial statements and review supply chain datasets to uncover insights across revenue, cost, margin, and cash flow performance

• Identify cost leakages, working capital inefficiencies, or supply chain optimization opportunities using data-driven analysis

• Estimate effort for workstreams, define analytical approaches, and link outputs to measurable business value

• Build analytical frameworks, templates, and reusable assets to drive long-term efficiency and consistency

• Translate ambiguous business questions into clear, structured analytical pathways and problem statements

Client & Stakeholder Management

• Serve as the primary point of contact for global or senior-level clients or internal stakeholders, ensuring clarity of expectations and solution alignment

• Facilitate discussions with diverse stakeholders to gather requirements, refine problem statements, and align on business outcomes

• Communicate insights in a clear, actionable, and business-oriented manner that supports leadership-level decision-making

• Build strong relationships through transparent communication, consistent updates, and proactive problem resolution

Technical & Process Excellence

• Ensure all SQL queries, Excel models, and data transformations follow best practices for scalability, performance, and accuracy

• Identify analytical risks, dependencies, data gaps, and potential bottlenecks—designing appropriate mitigation strategies.

• Drive continuous improvements in analytical processes, reporting standards, and efficiency across all projects

• Support the creation of knowledge assets, documentation, and standardized KPI frameworks for use across teams

Experience & Skills Requirements:

• Strong leadership capabilities with the ability to guide a team through structured problem-solving and high-quality project execution

• Proven track record in leading analytics driven supply chain transformation projects including areas such as demand forecasting, inventory optimization, logistics optimization, network design, procurement analytics and logistics performance improvement – preferably in manufacturing industries

• Strong understanding of core supply chain processes and related KPIs – planning, sourcing, manufacturing and distribution

• 6+ years of hands-on SQL and Excel experience (non-negotiable), including advanced query optimization, data modelling logic, and complex calculations

• Familiarity with ERP and supply chain systems such as SAP, Oracle or Kinaxis and their data integration aspects

• Exposure to digital supply chain, AI/ML applications and advanced optimization techniques is a plus

• Excellent communication and stakeholder management skills, with the ability to engage directly with senior and global clients

• Ability to lead teams, allocate tasks, manage workloads, and ensure timely and flawless delivery

• Entrepreneurial mindset with a proactive approach to identifying improvement opportunities, risks, and new solution pathways

• High ownership, discipline, and the ability to work independently while driving continuous improvement across analytical processes