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