Data Intelligence Manager

Open 24d

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

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

See also