• Support DM Leads and Data Quality Teams (DQT) in deriving and articulating both planned and ad-hoc clinical and operational data insights.
• Drive cross-functional collaboration to enhance data strategy, quality, site experience, and patient safety using disease area, protocol, and data standards expertise.
• Partner with Central Monitoring (CM) and Risk-based Quality Management (RbQM) leads to promote risk-based data review approaches.
• Act as a data review solution advisor, translating complex insights into clear, actionable recommendations for stakeholders.
• Contribute to exploratory data quality management plans in collaboration with DQT.
• Enable detection of data discrepancies and anomalies by supporting deployment of user-friendly analytical tools.
• Promote responsible AI adoption, develop proof-of-concepts (PoCs), and support product ionization of approved use cases.
• Identify opportunities to optimize analytics processes and improve solution performance.
• Stay current with emerging technologies, trends, and best practices in data analytics, automation, and AI.
• Develop and maintain technical documentation while fostering a culture of innovation and continuous learning.

Minimum Requirements