Business Intelligence, AI Lead

Role Overview

• Own and deliver a portfolio of AI and analytics initiatives that measurably improve sales, operations, and customer experience.
• Translate business problems into actionable data products (dashboards, models, automations, and self-service insights).
• Partner with stakeholders to define success metrics, prioritize use cases, and drive adoption through change management and enablement.
• Establish scalable, governed data pipelines that improve data quality, availability, and trust across WPB.
• Lead the identification, evaluation, and implementation of AI capabilities to optimize business processes, improve forecast accuracy, increase targeted sales, and enhance supply chain and operational performance.
• Build and maintain executive-ready analytics and reporting (e.g., Power BI) that translate complex data into clear, actionable insights.
• Design, implement, and operate scalable data pipelines and data products using Databricks and related tooling; ensure data quality, lineage, and reliability.
• Partner with business leaders and SMEs to discover high-value use cases, define requirements, establish success metrics, and drive adoption.
• Evaluate vendor and internal AI solutions (including GenAI) for fit, risk, scalability, and ROI; recommend a path forward and lead pilots/proof-of-value efforts.
• Establish lightweight AI governance practices (data privacy, responsible use, model performance monitoring) aligned to company standards and a regulated environment.
• Deliver and improve internal and external digital experiences (websites and B2B marketplace platforms) that support customer needs, compliance, and brand quality.
• Apply agile project management practices to plan work, manage dependencies, and deliver incremental value on a predictable cadence.
• Create documentation, plans, and training that enable self-service analytics and improve data literacy across the organization.
• Provide quality assurance and testing support for new analytics, automation, and AI-related tools to ensure stability and positive user experience.

Requirements

• Bachelor's degree in a quantitative/technical field (e.g., Computer Science, Data Science, Engineering, Information Systems, Statistics/Math) or equivalent experience
• 8+ years of experience in project execution and data analytics, preferably in a regulated industry
• Experience translating business goals into analytics and AI roadmaps.
• Experience leading AI/analytics initiatives end-to-end (use case discovery, requirements, delivery, adoption, and measurement).
• Data storytelling skills—able to turn complex analyses into clear executive-ready insights and recommendations.
• Experience building and operating governed data pipelines and data products (e.g., Databricks) with strong data quality mindset.
• Strong reporting and visualization skills (Power BI, DataBricks); familiarity with KPI design and dashboard best practices.
• Experience evaluating AI solutions (including GenAI) for value, scalability, and risk a plus; experience running pilots/proof-of-value

Benefits

• Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
• Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
• 401(k) with Company Match Contributions to support employees' retirement
• Paid Vacations and Company Holidays
• Opportunities for Flexible Work Arrangements to promote work-life balance
• Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
• Global Recognition and Service Programs to celebrate employee accomplishments and service
• Employee Referral Program