Associate Director – Reporting Transformation & AI Enablement

Job Description Summary

The Associate Director will lead the modernization of commercial performance analytics, transforming traditional reporting into AI-enabled, insight-driven decision support. The role is responsible for architecting and delivering enterprise-grade BI and analytics solutions using modern data platforms such as Databricks and cloud data warehouses, while driving advanced KPI harmonization and scalable semantic models.

This leader will spearhead GenAI-powered conversational analytics, intelligent automation, and agent-based insight generation to shift from reactive dashboards to proactive performance management. The role partners closely with commercial stakeholders to embed analytics into strategic decision-making and ensure executive-ready storytelling.

Additionally, the Associate Director will build and mentor high-performing analytics teams, champion data governance and compliance, and foster innovation across modern analytics, AI, and automation capabilities.

Job Description

**Location: Hyderabad #LI-Hybrid**

Key Accountabilities:

1. Commercial Performance Analytics Strategy

• Define and execute the future-state vision for commercial performance analytics, evolving from static dashboards to AI-augmented, conversational, and proactive insights.
• Partner with senior commercial leaders to embed analytics into performance reviews, planning cycles, and execution tracking.
• Act as a thought leader for modern analytics platforms, advanced BI, and GenAI adoption within Commercial Reporting Analytics.

2. Advanced BI & Reporting Products

• Lead the design and delivery of enterprise-grade reporting and analytics products, leveraging:

  • Power BI/Angular (enterprise semantic models, optimized DAX, deployment pipelines)
  • Standardized KPI frameworks and reusable metrics layers
• Drive adoption of self-service analytics while maintaining strong governance, consistency, and performance.
• Transition reporting from dashboard-centric delivery to insight-centric experiences, including narrative and AI-generated explanations.

3. Modern Analytics & Data Platform (Core Focus)

• Architect and oversee analytics solutions built on modern platforms such as:

  • Databricks (Lakehouse architecture, Spark, Delta Lake)
  • Cloud data warehouses (Snowflake, BigQuery, Azure Synapse)

• Lead analytics engineering best practices, including:

  • Advanced SQL and dimensional / semantic data modeling
  • Good to have experience of building data ingestion pipelines using Databricks, Dataiku, Airflow, and cloud-native orchestration tools

• Partner with Data Engineering and IT to ensure:

  • Scalable, performant, and compliant data pipelines
  • Strong data quality, lineage, and governance controls

4. Advanced Performance Analytics & Insight Generation

• Drive advanced analytical approaches focused on commercial performance, including:

  • Sales performance tracking and trend analysis
  • Forecast versus actual performance monitoring
  • Promotional and campaign performance measurement
• Design scalable analytical frameworks that enable root-cause analysis, performance narratives, and actionable recommendations.
• Translate complex analytical outputs into clear, executive-ready insights.

5. Generative AI & Conversational Analytics

• Lead the design and deployment of GenAI-powered conversational analytics solutions, including:

  • Chatbots enabling natural-language interaction with commercial performance data
  • AI assistants delivering on-demand insights, explanations, and performance summaries

• Implement enterprise-ready GenAI architectures using:

  • Azure OpenAI / OpenAI / Vertex AI
  • Retrieval-Augmented Generation (RAG)
  • Secure prompt engineering, evaluation, and monitoring frameworks

• Ensure AI solutions adhere to pharma compliance, data privacy, and responsible AI standards.

6. Agent-Based Analytics & Intelligent Automation (Advanced / Emerging)

• Design and pilot agent-driven analytics capabilities that:

  • Monitor KPIs and detect performance anomalies
  • Proactively generate insight narratives and alerts
  • Automate recurring reporting and analytical workflows
• Collaborate with platform teams to evolve from reactive reporting to proactive, agent-enabled insight delivery.
• Evaluate emerging **agent orchestration and workflow automation framewor…