• Design, develop, and deploy advanced AI/ML models and algorithms that improve operational efficiency, forecasting accuracy, and decision intelligence across the Hunter Douglas supply chain. • Conduct data exploration, feature engineering, and model tuning to ensure accuracy, robustness, and business applicability. • Collaborate with business stakeholders to translate complex challenges into data-driven solutions aligned with organizational goals. • Monitor, retrain, and optimize models post-deployment to maintain high performance as data and business conditions evolve. • Apply state-of-the-art methods such as neural networks, reinforcement learning, natural language processing (NLP), and generative AI to tackle diverse business challenges. • Contribute to the AI strategy roadmap, ensuring alignment with Hunter Douglas’s digital transformation initiatives. • Work with data engineers and IT to ensure efficient data pipelines, scalable infrastructure, and model deployment. • Partner with internal and external technical teams, vendors, and consultants to implement and scale AI solutions. • Communicate findings and insights clearly to both technical and non-technical stakeholders through visualizations, presentations, and storytelling. • Stay at the forefront of AI and analytics innovation, evaluating new tools, methodologies, and technologies for potential adoption. • Collaborate with digital product and IT teams to develop and integrate AI-assisted tools and automations within Hunter Douglas’s VIBE platform and data ecosystem. • Experiment with AI coding assistants (e.g., Cursor, GitHub Copilot, OpenAI Codex) to accelerate analytics and model development and improve reproducibility. • Support the creation of custom AI copilots and prompt libraries for use in digital supply chain tools, analytics dashboards, and planning applications. • Partner with the Digital Supply Chain Leader to prototype intelligent process automation for recurring planning, logistics, quality, or operational workflows.