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Digital Product Owner – Automated Chemistry Control
SolenisProduct Owner for AI-directed chemistry control managing digital strategy and value realization at Solenis. Collaborating with data science and engineering teams to optimize operational efficiencies and sustainability outcomes.
Core Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in leading AI/ML-driven product strategy and value realization, with a strong focus on data science, operational efficiency, and customer engagement in asset-intensive industries. Proven ability to translate data science outcomes into actionable insights that drive measurable improvements in cost, quality, and sustainability.
ATS Keywords
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Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own the digital strategy, operating model, and value realization for autonomous, AI-directed chemistry control across the portfolio
- Ensure that data products and data science investments move beyond models and dashboards into trusted, scalable capabilities that drive measurable improvement in cost, quality, throughput, and sustainability outcomes
- Partner with data science, engineering, product, and commercial teams to identify the highest-value optimization opportunities, frame the right business questions, and lead the enablement of capabilities that improve: Chemistry optimization and reduced overspend in high-cost, high-variability applications, Process stability, target adherence, and reduced variation, Throughput, yield, and sustainability outcomes
- Accountable for ensuring autonomous chemistry control delivers measurable value through: A prioritized portfolio of transformational data use cases tied to defensible value cases, Decision-ready value narratives that translate data science outcomes into action leaders and customers can trust, Scalable productization and governance that extend proven optimization across verticals with consistency and trust, Quantifiable value from autonomous-control use cases—reduced chemistry usage, lower variation, and improved target adherence translated into cost and sustainability gains, Increased executive, commercial, and customer adoption of autonomous control; faster, clearer decisions; reduced conflicting value claims through governance and real-time value realization
Requirements
What you’ll need- 15+ years in a global corporate setting
- 10+ years as a data science product owner / data product leader in industrial, process, manufacturing, chemicals, energy, or comparable asset-intensive industries
- Experience with connected services product strategy and a focus on continuous customer engagement and operational efficiency
- Demonstrated trajectory owning AI/ML-driven product strategy and value realization
- Certifications in leading data/AI or cloud platforms (e.g., Databricks, Snowflake, AWS, Azure/MS Fabric) and/or product ownership (CSPO, SAFe) are highly valued
- Bachelor’s degree in a quantitative, engineering, data science, or chemical/process discipline; advanced degree or MBA preferred
Benefits
Comp & perks- Competitive health + wellness benefit plan
- Continuous professional development with many opportunities for growth!
- Recharge with 15 days of paid time off
- Competitive Salary and Bonuses
- 401k Plan
- Ability to work remotely