Data, Analytics, AI & Platforms; DAP Manager

Overview

The Data, Analytics, AI & Platforms (DAP) Manager is the local technical anchor for data, analytics and AI within the Execution Excellence function at Novartis Pharma Switzerland. The role ensures Swiss commercial, Value & Access (V&A) and Medical Affairs teams get full value from the global Novartis analytics and AI ecosystem.

At its core, this is a Data & Analytics role with AI/GenAI and agentic AI as a strategic layer on top, supported by platform localisation and operational readiness. The role works across the core Novartis analytics stack, including Python, Azure, Snowflake and Power

BI, to deliver applied analytics, AI use cases and high‑quality data products for the Swiss organisation.

On the Data & Analytics side, the DAP Manager is hands‑on and technically deep. Day‑to‑day responsibilities include designing and maintaining local data models on Snowflake, building enterprise‑grade Power

BI dashboards, leveraging Azure data and AI services for pipelines, model deployment and integration, and writing production‑quality Python and SQL for applied data science, forecasting, segmentation, predictive modelling and automation. Local data flows into the global environment in close partnership with DDIT and CLS DAP, where the role’s technical reputation is built.

On the AI/GenAI and agentic AI side, the role drives the local adoption and impact of AI products aligned with the Novartis AI Strategy 2028, including AI‑driven recommendations, Next Best Action, content optimisation and emerging agentic AI workflows that autonomously plan and execute multi‑step analytical or operational tasks. The DAP Manager designs and prototypes applied AI use cases on Swiss data (often leveraging Azure OpenAI Service and the broader Azure AI stack) and contributes to the country AI roadmap, creating disproportionate strategic value.

On the platform side, the role coordinates the localisation and operational readiness of selected global marketing and customer‑facing platforms (e.g., SFMC, CRM, Novartis Pro and other global digital platforms) for the Swiss market. The platforms are designed, built and owned globally; the DAP Manager ensures they are correctly adapted, configured and operationally available locally, in partnership with the local Content Activation Managers, DDIT, BSI Hyderabad and external vendors.

Indicative time allocation: ~40% Data & Analytics (hands‑on technical core) / ~40% AI/GenAI and agentic AI (use cases, adoption, enablement) / ~10% Platforms (localisation and operational coordination) / ~10% Cross‑functional partnership and enablement.

• Data & Analytics
  • Serve as a hands‑on data and analytics practitioner in EE, writing production‑quality Python and SQL for data manipulation, statistical modelling, machine learning and automation, in collaboration with technically strong Integrated Insights Manager peers.
  • Design and maintain local data models, transformation logic and SQL pipelines on Snowflake, applying global data architecture standards to Swiss‑specific needs in close partnership with DDIT and International CLS DAP.
  • Leverage Azure data and AI services (e.g., Azure Data Factory, Azure ML, Azure Functions, Azure OpenAI Service) for data integration, model training and deployment, and AI workloads, in alignment with the global Novartis Azure environment.
  • Ensure local data sources (IQVIA panels, OFAC, CRM activity, digital engagement, financial data, competitive intelligence) flow correctly into the global Snowflake environment and are fit for analytical use, with appropriate data quality, lineage, governance and Swiss data privacy compliance.
  • Co‑Lead the design, development and maintenance of all local performance dashboards and reports in Power
    
    BI, covering commercial KPIs (HCP/product sales, market share, field metrics), V&A KPIs (access milestones, payer metrics), Medical sub‑national dashboards and omnichannel/digital engagement metrics, with appropriate separation between commercial and medical views.
  • Build robust, scalable Power
    
    BI semantic models on Snowflake, ensuring dashboards are performant, refresh reliably and reflect a single source of truth for…