Summary

The Data, Analytics & Platforms Manager leads the country data, analytics and platforms agenda within Execution Excellence by translating international strategy into localized, fit-for-purpose data foundations, reporting solutions and customer-facing technology platforms. The role designs, operates and continuously improves a single, trusted view of business-critical data across Commercial, Value & Access and Medical, while also ensuring that core plat-forms and digital solutions are reliable, compliant, integrated and sustainably adopted.

Working closely with CLS DAP, BSI DAP Operations, I-MA IMACE, DDIT, Value & Access, Medical Affairs and local business stakeholders, the role enables data-driven decision-making, platform innovation, analytics readiness and operational excellence in line with enter-prise governance, data privacy and international DAP standards.

About the Role

Major accountabilities:

1. Data Management and Infrastructure

• Design and maintain the country DAP data foundation, ensuring a federated, single, trusted view of business-critical data across Commercial, Value & Access and Medical, aligned with international strategy and governance frameworks.
• Define and document business rules for data ingestion, transformation, aggregation and master data management, ensuring that key datasets are timely, accurate and fit to support reporting, analytics and business execution.
• Coordinate data integration and data flows from key platforms and sources, ensuring consistency between operational systems, reporting layers and analytics use cases.
• Collaborate with DDIT, CLS DAP and BSI DAP Operations on solution design, architecture, standards and sustainable operations.

2. Platform Ownership and Roadmap Execution

• Lead the country roadmap for core business and customer-facing platforms, localizing international solutions and sequencing deployments to support Commercial, Value & Access and Medical priorities.
• Ensure day-to-day platform availability, configuration, performance and incident resolution in partnership with DDIT and external vendors, safeguarding business continuity and compliant usage.
• Coordinate platform enhancements based on validated business requirements, ensuring alignment with international templates, governance standards and local operating needs.
• Support vendor and service management by providing requirements, quality criteria and performance feedback for data and platform services.

3. Data Quality, Governance and Compliance Enablement

• Implement and monitor data quality controls for DAP-owned datasets and critical platform data, identifying issues and coordinating remediation with data owners, technical teams and business stakeholders.
• Support adherence to data privacy, promotional and non-promotional standards by ensuring appropriate access models, controls, documentation and governance processes.
• Contribute to data policies, data dictionaries, lineage documentation and usage guidelines to improve trust, consistency and compliant use of data and platforms.
• Collaborate with legal, compliance and governance stakeholders to support risk minimization, appropriate use and ethical adoption of data and AI-enabled capabilities.

4. Reporting and Analytics Enablement

• Maintain and enhance the data layer powering key dashboards and analytics products, ensuring consistency of metric definitions, dimensional structures and refresh cycles across business use cases.
• Perform data validation and root-cause analysis for anomalies in reports, dashboards or platform outputs, coordinating fixes across DAP, DDIT and business stakeholders.
• Enable new analytics and AI or GenAI use cases by ensuring data readiness, platform connectivity and clear business requirements for pilots and scaled solutions.

Key Performance Indicators (Suggested priority KPIs )

• Marketing platform deployment and stability – share of brands/TAs, MA and V&A processes running on core platforms; uptime and incident metrics.
• Platform and feature adoption – active user rates, usage of key features and reduction in manual workarounds.
• Stakeholder satisfaction – qualitative and survey feedback from Commercial, V&A and Medical Affairs leaders on platform availability, usability and innovation support.
• Data quality and governance compliance – accuracy, completeness, timeliness, adherence to governance frameworks and release processes.
• Analytics readiness and delivery – timely refreshes, incident resolution time, and enablement of priority analytics or AI use cases.

Ideal Background

Education: