Automation Project Manager
Position Summary
Accountable for the end-to-end success of a chemical dispensing automation portfolio that integrates industrial process data to deliver trended insights and AI-driven recommendations. This role defines the product requirements for automated chemical dosing equipment, telemetry solutions, and software to deliver quantifiable optimizations to industrial customers.
This role will be responsible for ensuring that the combination of these automated solutions will yield measurable business value, 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.
Key Responsibilities
Own automation portfolio strategy, roadmap, and project delivery
Deliver scalable platforms that collect process data, translate this data into trended insights, and provide predictive and prescriptive analytics
Ensure high-quality, on-time delivery through Agile execution
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
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
Develop and maintain the product business case
Manage the project budget including costs for development and implementation
Continuously refine assumptions using actual performance data
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
Identify and mitigate: Technical risks (data integration, scalability, AI readiness), Operational risks (data quality, usability, field adoption), Commercial risks (pricing, value realization)
Drive roadmap toward machine learning–based insights and recommendations
Partner with IT to define use-cases, data requirements, and success metrics
Minimum Qualifications
Experience: 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
Education Qualifications: Bachelor’s degree in Engineering (Chemical, Mechanical, Environmental, or Industrial) or MBA with extensive business management experience