AI & Analytics Manager - Pest

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 Pest 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. Position Details 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. What you will do 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. Minimum Qualifications Bachelors 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 Masters 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. Preferred Qualifications 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 acume Proficiency in the Microsoft Azure Suite, including Databricks and PowerBI Working knowledge of DevOps, 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 Annual or Hourly Compensation Range The base salary range for this position is $153,900.00 - $230,800.00. This position is eligible for annual bonus pay based on performance, per plan terms. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws. Benefits Ecolab strives to provide comprehensive and market‑competitive benefits to meet the needs of our associates and their families. To see our benefits visit the Ecolab Careers site. Potential Customer Requirements Notice To meet customer requirements and comply with local or state regulations, applicants for certain customer‑facing roles may need to: Undergo additional background screens and/or drug/alcohol testing for customer credentialing. Be fully vaccinated for COVID‑19, including a booster if eligible, unless a religious or medical accommodation is requested by the applicant and approved by Ecolab. Americans with Disabilities Act (ADA) Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website. Our Commitment to a Culture of Inclusion & Belonging At Ecolab, we believe the best teams are inclusive. We are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants and recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran. In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through affirmative action (AA). We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. #J-18808-Ljbffr ECOLAB