Full-Time

Associate Director

Business Transformation Analytics

Updated on 9/10/2026

Marsh & McLennan

Marsh & McLennan

Risk, insurance and business consulting

No salary listed

Gurugram, Haryana, India + 1 more

More locations: Hyderabad, Telangana, India

In Person

Category
Consulting (1)
Required Skills
Python
Supply Chain Management
Data Science
SQL
Machine Learning
SAP Products
Data Modeling
Data Analysis
Excel/Numbers/Sheets
Financial Modeling
Requirements
  • At least 9 years of relevant experience in analytics-led business transformation, consulting, or a comparable industry role, including leadership of complex client or enterprise initiatives.
  • Substantial depth in at least one of Pricing, Procurement, or Supply Chain, with a record of shaping transformation agendas and converting analysis into measurable, sustained business impact.
  • Experience leading large, complex transformation projects involving multiple workstreams, cross-functional teams, senior stakeholders, significant ambiguity, and demanding delivery timelines.
  • Strong people-leadership capability, including experience managing managers or workstream leads, developing high-performing teams, and ensuring rigorous project execution.
  • Advanced working knowledge of SQL, Python, and Excel, including the ability to review complex data transformations, query logic, models, calculations, and analytical outputs.
  • Strong command of financial and operational value drivers, business cases, transformation roadmaps, and key performance indicators relevant to the chosen functional area.
  • Experience working with large, complex datasets and enterprise systems.
  • Executive-level communication and stakeholder-management skills, including the ability to influence senior and global clients, facilitate difficult decisions, and build alignment across diverse groups.
  • Commercial acumen and project-management discipline, including scoping work, estimating effort, managing resources and risks, and maintaining delivery quality across a portfolio of work.
  • Entrepreneurial mindset, high ownership, sound judgement, and a proactive approach to identifying client opportunities, delivery improvements, risks, and new solution pathways.
Responsibilities
  • Lead large, complex analytics-enabled transformation engagements across multiple workstreams in partnership with global consulting teams, senior clients, and internal stakeholders.
  • Lead large, complex transformation projects or major project modules spanning multiple analytical and functional workstreams, geographies, and stakeholder groups.
  • Define the overall delivery strategy, operating rhythm, governance model, quality standards, and escalation mechanisms for engagements.
  • Mobilize and lead teams of Leads, Senior Analysts, and Analysts; clarify roles, allocate resources, manage capacity, and build capabilities through coaching and feedback.
  • Sponsor the development of knowledge assets, standardized key performance indicator frameworks, accelerators, and capability-building initiatives across teams and functional areas.
  • Apply deep functional expertise to diagnose complex performance issues and identify value opportunities across revenue, margin, cost, cash flow, working capital, and service outcomes.
  • Structure ambiguous, enterprise-level business questions into clear hypotheses, workstreams, analytical pathways, and implementation priorities.
  • Lead senior stakeholder discussions, workshops, and steering forums to refine problem statements, make trade-offs, resolve issues, and build commitment to change.
  • Synthesize complex analyses into executive narratives, recommendations, and decision materials tailored to leadership audiences.
  • Build durable client relationships through sound judgement, transparent communication, proactive issue resolution, and a focus on business impact.
  • Set and enforce standards for analytical quality, data governance, model documentation, reproducibility, scalability, and performance across projects.
  • Anticipate data gaps, delivery risks, interdependencies, organizational constraints, and adoption barriers, and establish mitigation and contingency plans.
  • Drive continuous improvement in delivery methods, reporting standards, project governance, and reusable analytical solutions across the practice.
Desired Qualifications
  • Experience across more than one of Pricing, Procurement, or Supply Chain.
  • Familiarity with platforms such as SAP or comparable pricing, procurement, and supply chain systems.
  • Hands-on proficiency with SQL, Python, and Excel.
  • Exposure to digital transformation and artificial intelligence or machine-learning applications, together with experience embedding new ways of working.

Marsh, formerly Marsh McLennan, is a global professional services firm focused on risk, insurance, reinsurance, talent and business strategy. Its operating businesses help organizations arrange coverage, model and transfer risk, design workforce programs and address complex management questions. Clients range from growing companies to governments and multinational enterprises. The group combines advisory expertise with insurance-market access and data, making it broader than an insurance broker alone while remaining primarily a business-to-business services organization.

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