Associate Director - Reporting Transformation & AI Enablement

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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 frameworks . 7. Stakeholder Engagement & Insight Storytelling Deliver compelling, executive-level storytelling through: Interactive BI experiences AI-generated narratives Strategic presentations and leadership reviews Act as a trusted analytics advisor to senior commercial stakeholders. Influence decisions by clearly communicating what happened, why it happened, and what actions to take . 8. Team Leadership & Capability Building Lead, mentor, and develop analytics professionals across: BI and analytics engineering AI-enabled reporting and insight delivery Build team capability in modern analytics platforms, GenAI usage, and insight storytelling . Foster a culture of innovation, automation, and continuous improvement . Qualifica

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