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Salary
≈ $83k – $156k per year (Estimated)
Location
In office (Trumbull)
Seniority
Senior

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Oct 16, 2026. Henkel scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Henkel is a German multinational chemical and consumer goods company headquartered in Düsseldorf, organised into two business areas, Adhesive Technologies and Consumer Brands, with brands such as Loctite, Persil and Schwarzkopf. Founded in 1876 and listed in the DAX, it operates worldwide, with its North American headquarters in Rocky Hill, Connecticut, and large teams in Stamford, Boulogne-Billancourt, Shanghai, Brussels and Bratislava. Its vacancies include field sales and sector managers, production planners, quality engineers, engineering project managers, R&D and packaging interns, enterprise architects, logistics managers and legal counsel.

About this Position At Henkel, you’ll be part of an organization that’s shaping the future through innovation, sustainability and collaboration. With our trusted brands like Persil®, ‘all®, Loctite®, Snuggle®, and Schwarzkopf® and our cutting-edge technologies, you’ll have countless opportunities to explore new paths and grow. This position is with our Consumer Brands business unit - where we empower our employees to bring the best Laundry Home Care and Hair products to people around the world.

Dare to learn new skills, advance in your career and make an impact at Henkel. What you´ll do Lead best-in-class pilot plant operations and produce diverse product forms for technical and consumer testing. Translate pilot learning into production equipment requirements, partnering with plant technical teams to support investment planning, project timelines, and robust process design.

Support innovation and new product launches by partnering with cross-functional leaders to confirm technical capability and readiness. Lead production scale-up, on-site process validation, and technology transfer to sustain process performance. Communicate clear, data-based recommendations to management to support timely decisions.

Identify continuous improvement and optimization opportunities, develop models to explain and predict process performance, and interpret data to guide actions.

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