Head of Data Platform

Henkel AG & Co. KGaA

Düsseldorf, Germany

5 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Languages

English, German

Job source

www.adzuna.de

Tech stack

Agile Methodology Computing Platforms Microsoft Azure Cloud Database Cyber Security Data Architecture Information Engineering Data Infrastructure DevOps DataOps Data Strategy Information Technology

+1 more

Databricks

Job description

Translate Henkel’s data strategy into scalable platform architecture, data products, and operating models, driving measurable business value.
Lead the Data Platform organization across platform engineering, data engineering, DataOps, and product teams in a BizDevOps model with end-to-end ownership.
Own the development, operations, and evolution of the global data & analytics platform ensuring reliability, scalability, and cost efficiency.
Drive adoption of advanced capabilities, including agentic frameworks, AI-driven automation, and intelligent orchestration, to scale innovation and productivity.
Act as a strategic partner to business stakeholders, supporting high-impact use cases and translating them into platform capabilities and data products.
Ensure secure, compliant, and resilient platform operations, embedding cybersecurity, data protection, and governance by design.
Manage a significant investment portfolio and foster a data-driven culture across Henkel., * Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
Diverse national and international growth opportunities
Global wellbeing standards with health and preventive care programs
Gender-neutral parental leave for a minimum of 8 weeks
Employee Share Plan with voluntary investment and Henkel matching shares
Company Pension Plan 100% financed by Henkel
MEGA Preventive Health Insurance
CareFlex Supplementary Care Insurance
Mobility offer: My Henkel Bike and Jobticket

Requirements

Master’s degree in a computer science or related field.
Minimum 10 years of experience in platform or data engineering and proven track record of leading large teams.
Strong business acumen and ability to collaborate closely with technical and non-technical teams.
Eagerness to consult and drive data literacy within the enterprise.
Capacity to develop a clear understanding of business challenges, derive a solution concept and translate it into relevant tasks for your teams.
Expert knowledge of DevOps, DataOps and agile practices.
Excellent skills and experience in building and operating a business-critical platform.
Advanced knowledge in data architecture, data engineering, and cloud-based data services preferably on Azure, Databricks, Google.
Fluent in English; German language is a plus