Data Intelligence Manager

Work Schedule Standard (Mon-Fri)

Environmental Conditions Office

Key Responsibilities

• Data Intelligence Enablement & Framework
• Optimize and continuously enhance the commercial data intelligence framework and roadmap in line with business priorities.
• Standardize data definitions, business logic, KPIs, reporting standards, and dashboard architecture to ensure consistency and reliability.
• Build scalable reporting structures and reusable data products by leveraging enterprise systems and data capabilities, reducing duplication and manual effort.
• Partner with Commercial teams and Commercial Excellence Business Partners to translate priority business needs into data models, dashboards, metrics, and actionable insights.
• System, Data and Reporting Integration
• Integrate data across DB and SFDC to streamline data logic and reporting workflows, improving system efficiency and data accessibility.
• Enhance data accuracy, consistency, and usability across reports and dashboards.
• Document data logic, reporting methodologies, refresh processes, and governance standards to support scalability and long-term sustainability.
• Dashboard, BI and Tech-report Development
• Design, develop, and maintain Power BI dashboards and commercial analytics and intelligence solutions.
• Build customer-, product-, channel-, and sales-team-level dashboards to support data-driven decision-making.
• Enhance dashboard usability, automation, and self-service capabilities to improve adoption and efficiency.
• AI-enabled Analytics and Automation
• Explore and apply AI-enabled analytics to improve reporting efficiency, business insight generation, and risk/opportunity identification
• Support automation of recurring reports, data cleansing, data tracking, and insight generation
• Partner with IT, digital, and DSC teams where needed to evaluate scalable AI/data solutions
• Improve the efficiency of data preparation, reporting, and analytical workflows

Key Success Measures

• Improved consistency, accuracy, and reliability of commercial data and reporting.
• Reduced manual reporting effort and duplicated analysis.
• Increased adoption of standardized dashboards and reporting frameworks.
• Stronger analytical support for Commercial leaders and CE Business Partners.
• Improved data-driven decision-making in commercial planning and execution.

Required Experience And Capabilities

• 5-10 years of relevant experience in SAP ERP, data analytics, commercial analytics, business intelligence, or life sciences business environments
• Solid working knowledge of Power BI, Excel, SQL, data visualization, and automation/data transformation tools such as Python, Databricks, Power Query, or Power Automate
• Good understanding of data governance, data quality management, and reporting standardization
• Familiarity with AI-enabled analytics, predictive analytics, or automated insight generation is a plus
• Experience collaborating with cross-functional teams such as Operations, Finance, Supply Chain, and Commercial
• Effective communication skills, with the ability to explain data logic and insights to both technical and business stakeholders
• Proactive and with a problem-solving mindset and the ability to manage multiple priorities