Location: Hyderabad | #LI-Hybrid
Key Accountabilities:
1. Commercial Performance Analytics Strategy
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Define and execute the future-state vision for commercial performance analytics, evolving from static dashboards to AI-augmented, conversational, and proactive insights.
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Partner with senior commercial leaders to embed analytics into performance reviews, planning cycles, and execution tracking.
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Act as a thought leader for modern analytics platforms, advanced BI, and GenAI adoption within Commercial Reporting Analytics.
2. Advanced BI & Reporting Products
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Lead the design and delivery of enterprise-grade reporting and analytics products, leveraging:
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Power BI/Angular (enterprise semantic models, optimized DAX, deployment pipelines)
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Standardized KPI frameworks and reusable metrics layers
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Drive adoption of self-service analytics while maintaining strong governance, consistency, and performance.
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Transition reporting from dashboard-centric delivery to insight-centric experiences, including narrative and AI-generated explanations.
3. Modern Analytics & Data Platform (Core Focus)
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Architect and oversee analytics solutions built on modern platforms such as:
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Databricks (Lakehouse architecture, Spark, Delta Lake)
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Cloud data warehouses (Snowflake, BigQuery, Azure Synapse)
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Lead analytics engineering best practices, including:
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Advanced SQL and dimensional / semantic data modeling
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Good to have experience of building data ingestion pipelines using Databricks, Dataiku, Airflow, and cloud-native orchestration tools
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Partner with Data Engineering and IT to ensure:
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Scalable, performant, and compliant data pipelines
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Strong data quality, lineage, and governance controls
4. Advanced Performance Analytics & Insight Generation
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Drive advanced analytical approaches focused on commercial performance, including:
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Sales performance tracking and trend analysis
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Forecast versus actual performance monitoring
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Promotional and campaign performance measurement
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Design scalable analytical frameworks that enable root-cause analysis, performance narratives, and actionable recommendations.
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Translate complex analytical outputs into clear, executive-ready insights.
5. Generative AI & Conversational Analytics
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Lead the design and deployment of GenAI-powered conversational analytics solutions, including:
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Chatbots enabling natural-language interaction with commercial performance data
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AI assistants delivering on-demand insights, explanations, and performance summaries
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Implement enterprise-ready GenAI architectures using:
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Azure OpenAI / OpenAI / Vertex AI
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Retrieval-Augmented Generation (RAG)
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Secure prompt engineering, evaluation, and monitoring frameworks
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Ensure AI solutions adhere to pharma compliance, data privacy, and responsible AI standards.
6. Agent-Based Analytics & Intelligent Automation (Advanced / Emerging)
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Design and pilot agent-driven analytics capabilities that:
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Monitor KPIs and detect performance anomalies
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Proactively generate insight narratives and alerts
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Automate recurring reporting and analytical workflows
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Collaborate with platform teams to evolve from reactive reporting to proactive, agent-enabled insight delivery.
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Evaluate emerging agent orchestration and workflow automation frameworks.
7. Stakeholder Engagement & Insight Storytelling
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Deliver compelling, executive-level storytelling through:
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Interactive BI experiences
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AI-generated narratives
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Strategic presentations and leadership reviews
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Act as a trusted analytics advisor to senior commercial stakeholders.
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Influence decisions by clearly communicating what happened, why it happened, and what actions to take.
8. Team Leadership & Capability Building
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Lead, mentor, and develop analytics professionals across:
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BI and analytics engineering
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AI-enabled reporting and insight delivery
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Build team capability in modern analytics platforms, GenAI usage, and insight storytelling.
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Foster a culture of innovation, automation, and continuous improvement.
Qualifications & Experience
Education
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Bachelor’s degree in Engineering, Computer Science, Information Systems, Statistics, Economics, or related field
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Master’s degree or MBA preferred
Experience
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12+ years of experience in commercial performance and advanced analytics, reporting, GenAI
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Strong preference for pharmaceutical or life sciences commercial experience
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Proven experience leading enterprise analytics modernization initiatives
Technical Skills (Modern Stack)
Required
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Advanced expertise in Power BI/Angular (enterprise semantic models, DAX optimization, capacity management)
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Strong hands-on experience with SQL and analytics engineering
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Deep experience with Databricks/Dataiku (Lakehouse architecture, Spark, Delta Lake)
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Experience with orchestration tools (dbt, Airflow, cloud-native pipelines)
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Strong understanding of commercial performance data domains (sales, marketing, field activity)
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Solid data governance, security, and compliance mindset
Highly Desired
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Experience building GenAI-powered chatbots or conversational analytics solutions
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Hands-on exposure to LLMs, RAG architectures, prompt engineering, and AI evaluation
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Familiarity with agent-based or autonomous analytics concepts
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Python experience for analytics automation and AI integration
Leadership & Behavioral Competencies
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Strong executive presence and stakeholder management skills
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Ability to balance strategic vision with hands-on execution
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Comfortable driving innovation in complex, regulated environments
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Excellent communication and storytelling abilities
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together. https://www.novartis.com/about/roadmap/people-and-culture
Commitment to Diversity & Inclusion:
Novartis is committed to building an outstanding, inclusive work environment and diverse team’s representative of the patients and communities we serve.
Values and Behaviors: Demonstrates and upholds Novartis values and behaviors in all aspects of work and collaboration.
Location: Hyderabad NKC. Hybrid | 3 days a week in office is mandatory.
