RA Analytics, Dashboard and Reporting Capability Lead

Key Responsibilities

• Lead a team to ensure alignment with organizational goals and business priorities related to Data Analytics, Dashboards and Reporting
• Define, prioritize, and deploy an integrated Capability roadmap working in close collaboration with relevant stakeholders and DDIT partners, ensuring alignment with the Data Strategy and Management Platform, Development and Enterprise data and technology strategy roadmaps
• Represent the Capability in digital governance boards and leadership meetings across the organization
• Build and maintain collaborative and productive partnerships within the Capability and the Platform, and with relevant stakeholders to achieve business priorities.
• Oversee vendors at the capability level, across product(s), in collaboration with IT and the External Partnerships Teams
• Ensure on-time, compliant, secure, and quality delivery of portfolio for the assigned capability/product(s), aligned with the NVS Quality Manual
• Responsible for configuration, decision making and outcome, impacting the capability, with involvement of relevant Business Process Owner(s), business SMEs and stakeholders
• Accountable for all data analysis, dashboard and reporting capabilities and processes for RA to uncover trends, patterns, opportunities and business benefits for RA

Qualification & Requirements

• Bachelor’s degree, master’s; Advanced degree in life science, pharmaceutical, technology or data science preferred.
• Relevant industry experience
• Strong understanding and direct relevant experience with the data and technology landscape of pharmaceutical regulatory affairs
• Strong strategic problem-solving skills and ability to navigate un-charted territory without clear precedent
• Experience presenting/speaking at a senior management level with a proven track record of effectively communicating complex initiatives
• Demonstrated leadership in driving risk assessment and mitigation, clear strategic thinking, prioritization, and maintaining awareness of business impact.
• Strong negotiation skills
• Excellent verbal and written communications
• Experience with processes, systems & tools used for data analytics and reporting activities
• Advanced proficiency in data analysis and visualization tools (e.g., SQL, Python, R, Power BI)
• Strong understanding of statistical concepts and data modelling techniques

Benefits

No information available.