Your responsibilities
Analytics Delivery & Value Realization
- Partner with Commercial teams and IT to design and implement AI-enabled initiatives that enhance performance and accelerate growth across markets
- Define business data requirements and validate datasets with Digital for commercial AI applications
- Create and maintain data quality monitoring dashboards and reports
- Support data validation processes within the AI scope and identify data anomalies or gaps
- Design business test scenarios and validate AI outputs from commercial perspective (not technical testing)
- Create automated test scripts and validation frameworks for AI outputs
- Define quality metrics and acceptance criteria for all commercial AI projects
- Establish continuous monitoring processes for deployed Commercial AI solutions
- Lead user acceptance testing coordination with regional sales and service teams
- Document testing procedures and maintain quality assurance standards
- Investigate and resolve AI model performance issues and anomalies
- Support business process integration and workflow optimization for AI implementations
- Analyze internal and external data to quantify opportunities, anticipate risks, and measure success.
- Research emerging AI tools and best practices
Stakeholder Partnership
- Collaborate closely with Digital/IT on data collection and preparation for AI model development
- Partner closely with Sales leadership and cross-functional teams to understand key challenges in order to identify new AI use cases
- Serve as the bridge between business needs and analytical solutions.
Training & Capability Building
- Promote AI analytics and application literacy across the Sales organization.
- Coach business users to leverage AI solutions, applications