Data, Analytics & Platforms Manager

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:

·       University degree in business, life sciences, Mathematics, Statistics, Computer Science, Engineering, Analytics, Business or another technical degree.

·       Master’s degree preferred

Languages:

·       English

·       Country language required

Experience/Professional Requirement:

·       5+ years of relevant experience across pharma data, analytics enablement, digital platforms and/or stakeholder management driving optimization, efficiencies, change management and automation across data and digital ecosystems.

·       Strong experience gathering business requirements and translating them into platform product features, data integration needs, user stories and scalable operating solutions.

·       Deep pharma data knowledge across commercial, patient services, market access, digital and medical use cases, including connected omnichannel data sets and reporting requirements.

·       Strong understanding of regulatory environments, industry codes, promotional and non-promotional separation, and data privacy requirements.

·       Experience as a Product Owner or Data and AI Product Owner responsible for business requirements, features, user stories, acceptance criteria and cross-functional delivery with business and enabling partners.

·       Good knowledge of core business and marketing technology platforms, CRM, data integration and analytics tooling; ability to connect platform capabilities to business value.

·       Experience with master data management, data quality, data governance and reporting enablement in a healthcare or similarly regulated environment.

·       Expertise in SQL and data management; knowledge of Python or R and data engineering concepts is a strong advantage.

·       Highly developed analytical, problem-solving, consulting, communication and stakeholder influence skills, with the ability to synthesize information into clear recommendations.

·       Demonstrated ability to enable new launches, evolve data strategies and drive adoption of digital innovation that improves business outcomes and customer value.

·       Demonstrates Novartis leadership behaviors, including ethical mindset.