14 ott - Bardi
Experteer Italy
Data Management & Infrastructure ManagerAs Data Management & Infrastructure Manager, you will own the country data foundation and deliver a single, trusted view of critical data across sources.
You will govern ingestion, transformation, and master data management in line with enterprise standards, coordinating data flows to support analytics readiness.
You will partner with stakeholders to ensure alignment with global data governance, privacy, and AI ethics requirements while promoting sustainable data solutions.
Your role drives data quality, reporting readiness, and cross-functional collaboration across the product lifecycle, enabling country-priority analytics and AI use cases.
This is a mission-driven opportunity to shape data
Own and optimize the country Data, Analytics and Platforms data foundation to provide a single, trusted data view
Define and govern rules for data ingestion, transformation, aggregation, and master data management
Coordinate data integration across key platforms to ensure timely, analytics-ready data
Ensure alignment with global governance, architecture, privacy, compliance, and AI ethics requirements
Implement and improve data quality controls and resolve data issues
Support data privacy and access models in line with standards
Maintain data layer for reporting, dashboards, analytics, and AI/GenAI use cases
Perform data validation and root-cause analysis for anomalies
Enable analytics and AI use cases by ensuring data readiness for pilots and scale
University degree in Business, Life Sciences, Mathematics, Statistics, Computer Science, Engineering, Analytics, or related field
5+ years of experience in data architecture, MDM, or enterprise data strategy
Experience as a Data xysqume Product Owner with requirements, user stories, acceptance criteria, and cross-functional delivery
Strong knowledge of pharma data domains and regulatory environment
Ability to drive data strategy, enable new datasets, and deliver automation and change management
Expertise in SQL and data management; knowledge of Python or R; knowledge of data governance/quality tools
Strong analytical, problem-solving, communication, consulting, and stakeholder-influencing skills
English required, Italian preferred; strong ethical and leadership mindset
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