Purpose & Overall Relevance for the Organization: 

Drive the application of artificial intelligence and advanced analytics to generate actionable business insights across markets and functions. Lead the development of predictive and prescriptive models that support strategic decision-making and operational efficiency. Act as a strategic enabler between data science capabilities and business stakeholders, ensuring that AI-driven solutions are aligned with business goals and deliver measurable impact.

 

Key Responsibilities: 

AI-Driven Analytics & Business Insights

Design and implement machine learning models for forecasting, segmentation, anomaly detection, and optimization. Translate business challenges into analytical frameworks and AI solutions. Develop and maintain advanced dashboards and tools that integrate AI outputs with business KPIs. Ensure explainability and usability of AI models for non-technical stakeholders.

Data Strategy & Integration

Collaborate with data engineering teams to ensure access to clean, structured, and relevant data for modeling. Integrate internal and external data sources to enrich analytical capabilities. Promote data governance and ethical AI practices in model development and deployment.

Stakeholder Engagement & Enablement

Partner with commercial, operations, finance, and digital teams to identify opportunities for AI application. Facilitate workshops and training sessions to increase data literacy and adoption of AI tools. Communicate insights and model results effectively to senior leadership and cross-functional teams.

Innovation & Continuous Improvement

Stay current with emerging AI technologies, tools, and methodologies. Evaluate and improve model performance, automation, and scalability. Foster a culture of experimentation and innovation within the analytics team.

 

Requisite Education and Experience / Minimum Qualifications:

Bachelor’s degree in Business, Finance, Economics, Mathematics, Data Science, or a related field 2+ years of experience in AI, Data Science, or Business Analytics Proficiency in Python and ML libraries (e.g., scikit-learn, TensorFlow) Experience with Power BI and data storytelling Familiarity with cloud platforms (Azure, AWS, GCP)

 

Knowledge & Soft Skills:

Strong understanding of machine learning techniques and statistical modeling Ability to distill complex data into actionable insights and communicate them effectively to diverse stakeholders Strong data storytelling skills, with a clear focus on connecting analytics to business impact Comfortable communicating technical concepts in simple, business-relevant terms Strategic thinker and collaborative mindset, capable of working with both technical and commercial teams Ability to manage multiple priorities and projects simultaneously Attention to detail, accuracy, and rigor in analysis Experience implementing analytics projects or processes People management experience is a plus Fluent in English; Spanish and/or Portuguese is a plus Passionate about leveraging AI to drive business impact