Analytics Product Owner

Responsibilities

• Product Strategy & Delivery
• Own product vision, roadmap, and backlog aligned to business priorities
• Deliver a scalable platform progressing from: Data capture → trended insights → predictive & prescriptive analytics
• Ensure high-quality, on-time delivery through Agile execution
• Field Validation & Deployment
• Lead pilot programs and field testing to validate usability, data quality, and value
• Drive adoption by aligning product capabilities with real-world workflows
• Scale from pilot to full deployment across target customers
• Commercialization & Adoption
• Partner with commercial teams to define value proposition and enable successful launch
• Support sales, field teams, and customer onboarding
• Remove adoption barriers and drive sustained usage
• Business Case Ownership
• Develop and maintain the product business case
• Establish and manage the project budget including costs for development and implementation
• Continuously refine assumptions using actual performance data
• Value Realization
• Define, track, and communicate key performance metrics: Customer retention / churn reduction
• Incremental chemical sales
• Profitable equipment sales
• Product adoption and engagement
• Ensure clear linkage between product capabilities and financial outcomes
• Risk Management
• Identify and mitigate: Technical risks (data integration, scalability, AI readiness)
• Operational risks (data quality, usability, field adoption)
• Commercial risks (pricing, value realization)
• Advanced Analytics Evolution
• Drive roadmap toward machine learning-based insights and recommendations
• Partner with IT to define use-cases, data requirements, and success metrics

Requirements

• 10 years of project/product management experience
• Proven track record of leading high-performing teams and delivering complex projects
• Sales and customer service experience is an asset
• Key Behaviors
• Ownership mindset: accountable for outcomes, not just delivery
• Customer-centric: grounded in field and customer reality
• Data-driven: uses metrics to prioritize and validate decisions
• Commercially focused: ties product work to revenue and profitability
• Cross-functional leader: aligns engineering, field, and commercial teams
• Education Qualifications:
• Bachelor's degree in engineering (Chemical, Mechanical, Environmental, or Industrial)
• MBA or extensive business management experience

Benefits

Additional Information

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. At this time, DuBois Chemicals does not sponsor employment-based visas for this position. Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship. POSITION SUMMARY Accountable for the end-to-end success of an analytics software platform that integrates customer data to deliver trended insights and AI-driven recommendations. This role ensures the product delivers measurable business value, including improved customer retention, increased chemical sales, and profitable equipment growth. This role will enable a digital transformation into a data-driven, insight-led service model, improving customer outcomes while unlocking new growth through analytics, digital differentiation, and smarter chemical program management. A successful candidate's performance will be measured by: Strong product adoption and sustained engagement Demonstrated impact on customer retention and revenue growth Delivery of roadmap milestones Achieved or exceeded business case targets Effective risk mitigation and cross-functional alignment

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