Data, Analytics & Platforms Manager

Job Description Summary

Job Description

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.

Masters 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.

Skills Desired