Artificial Intelligence Manager - F&B

Ecolab Digital is seeking a commercial solution focused AI and Analytics Manager to unlock the value in data assets while creating, maturing, and maintaining unique offerings for customers in the Institutional & Specialty segment. In this role, you will collaborate with the digital product innovation teams, marketing, and engineering counterparts to define, develop & deliver the advanced analytics pipeline for digital.

You will own the execution of revenue generating AI product developments and enhancements required for scaled, outcome-based solution success. This role is aligned with a dynamic team at the forefront of technological innovation creating cutting-edge AI for novel solutions that transform how our customers operate for enhanced efficiency and sustainability.

• Location:
  
  The desired location for this role is either St. Paul, MN or Naperville, IL with a hybrid schedule.
• Travel:
  Up to 10% of the time.

• Lead, manage, and mentor a high-performing team of data scientists, AI engineers, and data analysts ensuring excellence in technical execution and professional development.
• Partner to define, implement, and refine the AI and analytics strategy and roadmap, aligning with the organization's long-term goals, evolving business needs, and overall digital product vision.
• Utilize an extensive foundation of AI methodologies and latest advancements to bring creativity, quality and technical ownership to drive the team's development, implementation, and health of solutions.
• Provide clear, consistent communication and presentation to various product stakeholders driving strategic alignment, AI education, and impact-based decisions.
• Work within an agile global resource model, planning for and delivering against strategically aligned initiatives as a team.
• Ensure the scalability, reliability, and robustness of AI solutions through advanced model development, AI system design, deployment, and monitoring practices within the team.

• Bachelor's Degree in Data Science, Economics, Math, Statistics, Computer Science or related field with an emphasis on analytics and 10 years of experience in progressive data science / AI roles or Master’s degree with 7 years of experience in progressive data science / AI roles
• 3 years' experience of a proven track record leading and executing high-impact, technically complex projects and teams
• Experience with full lifecycle of data science product development
• 3 years experience of working with business stakeholders
• 4 years' experience with Python
• Experience managing teams with diverse skill sets and a portfolio of products / priorities to guide and ensure accountability within the team
• No immigration sponsorship is available for this role at this time.

• Demonstrated interconnected disciplinary knowledge of digital solution development
• Excellent communication & presentation skills, effectively partnering and delivering results to a broad spectrum of stakeholders
• Ability to thrive in an ambiguous environment, embracing change and utilizing proven reasoning in balancing practical business needs and analytics rigor
• Well-developed and proven leadership, strategic thinking, & business acumen
• Proficiency in the Microsoft Azure Suite, including Databricks and PowerBI
• Working knowledge of Dev Ops, git, Snowflake, and distributed compute platforms
• Proficiency with time series and advanced sensing data
• Experience in consulting and/or product management
• Expertise in building and scaling intelligent systems leveraging LLMs, embedding pipelines, and agent workflows
• Proficiency in Python 3.11+, LLM Apis, cloud-native engineering (Azure preferred), and scalable architecture principles

A trusted partner at nearly three million commercial customer locations, Ecolab (ECL) is the global leader in water, hygiene and infection prevention solutions and services. With annual sales of $13 billion and more than 45,000 associates, Ecolab delivers comprehensive solutions, data-driven insights and personalized service to advance food safety, maintain clean and safe environments, optimize water and energy use, and improve operational efficiencies and sustainability…