Director - AI & Advanced Analytics

Position Summary

The Director of AI and Advanced Analytics is responsible for driving enterprise-wide analytics and AI-powered insights strategy. This individual will lead a multidisciplinary team spanning commercial insights, operations insights, and applied AI — transforming data into a strategic asset that fuels proactive decision-making across a global organization.

Reporting to the Senior Director of AI and Data Strategy, this role combines hands-on technical expertise with strategic vision, leveraging Power BI, Microsoft Fabric, AI, and automation to deliver high-impact analysis and scalable, AI-enhanced data solutions.

Essential Duties & ResponsibilitiesStrategic Leadership & Team Management

• Lead and develop a cross-functional team encompassing commercial insights, operations insights, and applied AI and analytics professionals

• Define and execute the BI and data strategy roadmap aligned with enterprise business objectives

• Foster a culture of data-driven decision-making, analytical rigor, and continuous improvement across the organization

• Serve as a trusted advisor to executive leadership and business stakeholders on data strategy, analytics capabilities, and emerging opportunities

• Be responsive and manage stakeholder expectations with clear timelines, levels of effort and prioritization

Analytics & Reporting

• Build and sustain model performance reporting frameworks to measure business impact, track KPIs, and surface actionable insights

• Determine the optimal analytic approach and data architecture to deliver high-impact analysis to business stakeholders across a global enterprise

• Design and oversee the development of interactive dashboards, self-service reporting, forecasting, and advanced analytics solutions in Power BI

• Integrate AI and automation capabilities into reporting workflows to increase speed, accuracy, and scalability of insights delivery

AI-Driven Business Insights

• Lead the integration of AI and machine learning capabilities into the BI ecosystem to enhance forecasting, anomaly detection, and predictive analytics

• Identify and prioritize high-impact AI use cases across commercial, operations, and financial analytics to accelerate business outcomes

• Partner with business stakeholders to translate complex AI/ML outputs into clear, actionable insights that drive strategic decision-making

• Evaluate and implement emerging AI technologies (e.g., generative AI, NLP, intelligent automation) to continuously evolve the organization’s analytics capabilities

• Establish model performance monitoring, validation frameworks, and feedback loops to ensure AI outputs remain accurate, reliable, and aligned with business objectives

Project & Agile Management

• Leverage Jira to prioritize, plan, and track the team’s work using Agile methodologies when required

• Manage the team’s backlog, sprint planning, and capacity allocation to ensure timely delivery of high-priority initiatives

• Collaborate cross-functionally with IT, sales, digital, operations, and finance teams to scope, prioritize, and deliver analytics projects

• Communicate project status, risks, and outcomes to senior leadership with clarity and precision