Data Intelligence Manager

Work Schedule

Environmental Conditions

Job Description

Key Responsibilities

1. 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.

2. 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.

3. 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.

4. 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