AI & Self-Service Analytics - Lifescience / Pharmaceuticals

Company Description

WNS (Holdings) Limited (NYSE : WNS) is a digital-led business transformation and services company that co-creates smarter businesses with more than 700 clients across 10 industries. We blend deep domain excellence, WNS' core differentiation, with AI-powered platforms and analytics to help businesses innovate continuously, scale effortlessly, adapt swiftly, and lead resiliently in a world defined by disruption.

Our purpose : Enabling lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and differentiated impact.

| Global Headquarters | Continents | Countries |

| | | |

| 700+ | 66,000+ | 65 |

| Clients | Employees | Delivery Centers |

Job Overview

Experience : 5-9 Years

Analytics Function Overview

The Analytics function focuses on enabling next-generation Business Intelligence through AI-driven insights, self-service analytics, and conversational reporting capabilities for leading global pharmaceutical organizations. The function partners closely with Commercial, Medical, Market Access, and Executive stakeholders to scale insight delivery while reducing manual reporting effort.

The AI & Self-Service Analytics team plays a critical role in operationalizing AI-assisted analytics, natural language interaction with data, and persona-aligned self-service datasets within enterprise BI platforms such as Tableau, Power BI, and cloud data platforms.

Roles and Responsibilities Summary

• Design and deliver AI-enabled reporting and self-service analytics solutions aligned to pharma commercial and medical use cases.
• Support implementation of conversational BI capabilities using tools such as Power BI Copilot, Tableau Pulse, and in-house LLM frameworks.
• Translate business questions into AI-assisted insight workflows (e.g., variance explanation, trend detection, anomaly identification).
• Build and curate persona-specific self-service datasets for Analysts, Data Scientists, and Advanced Business Users.
• Collaborate with BI Architects and Semantic Layer teams to ensure AI readiness of data products (grain, metadata, KPI logic).
• Configure and validate natural language query patterns mapped to governed KPIs and dimensions.
• Develop automated KPI narratives and explanations to support faster decision-making.
• Partner with business stakeholders to identify high-value AI use cases for reporting and analytics (e.g., field performance insights, payer mix shifts, launch signals).
• Support UX design for AI interactions, including prompt design, guided queries, and explainability views.
• Ensure AI outputs are transparent, explainable, auditable, and compliant with governance guidelines.
• Contribute to training materials and enablement content for AI-driven and self-service analytics adoption.
• Take ownership of assigned deliverables and support program milestones under the guidance of Group Managers / Leads.

Core Competencies Technical Skills

Domain & Functional Knowledge

Behavioral & Professional Skills

Must-Have Skills

Good-to-Have Skills

Qualifications

Locations