Job Description

Summary The Novartis BSI team is seeking an accomplished data management professional with expertise in Data Governance, Enterprise Data Management, data compliance, and data quality across international markets. This role requires close collaboration with the Enterprise Data Management group, Global Data Strategy, and Country Data Leads to oversee data and analytics solutions within Novartis International's Commercial division. The ideal candidate will work alongside IT teams to establish and maintain rigorous data controls for all enterprise data management functions.

Key Responsibilities:
Formulate and implement strategies, execution plans, and governance frameworks for data initiatives across the commercial domain, ensuring alignment with business objectives.
Act as a primary liaison among cross-functional teams, promoting data integrity, accessibility, and scalability to facilitate superior customer experiences.
Uphold compliance with established data governance policies and security protocols to safeguard sensitive information; conduct periodic audits to verify adherence to these standards.
Establish and enforce data quality standards to ensure reliable data is available for reporting and data science applications.
Define and manage data dictionaries and metadata repositories to enhance data discoverability and usability.
Support the development of reusable data assets and frameworks that accelerate time-to-insight for commercial teams
Remain informed on industry developments, regulatory requirements, and best practices related to data governance, recommending necessary updates to existing procedures.
Education (Minimum/Desirable):
Bachelor's or master's degree in computer science, Engineering, Information Systems, or a related discipline.
Experience / Skills:
Minimum of 10 years' experience as a data strategy/quality lead or data governance manager in a global organization, with proven success in leading large-scale enterprise programs.
Comprehensive knowledge of the pharmaceutical industry and data standards, with domain expertise in at least one of the following areas: Pharma R&D, Manufacturing, Procurement and Supply Chain, or Marketing and Sales. Experience in Pharma/Life Sciences is highly preferred.
Experience with data modeling, ETL design, and data integration from multiple sources.
Working knowledge of implementing / governing data engineering pipelines for downstream commercial analytics consumption.
Proficient understanding of DAMA-DMBOK and DCAM frameworks; relevant certifications are advantageous.
Stitching business and technical metadata information on Collibra or related tools to democratize data usability across the enterprise.
Good understanding of establishing the definitive framework for implementing AI governance
Exceptional leadership abilities and the aptitude to influence key stakeholders in international markets.
Superior communication and collaboration skills, particularly with senior leadership.
Skills Desired Building Construction, Business Networking, Business Partners, Business Planning, Business Process Transformation, Business Strategy, Curiosity, Decision Tree (Forecasting Model), Diversity & Inclusion, Finance, Go-To-Market Strategy, Key Account Management, Leadership, Lean Six Sigma, Management Consulting, Scrum (Programming Methodology), Strategic Planning

Skills Required