Senior Manager Data Architecture (d/f/m)

Henkel AG & Co. KGaA; Berlin; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Henkel AG is seeking a trusted advisor for their Adhesives business, focusing on data architecture and analytics. This role involves designing scalable data solutions and leading the enterprise data strategy to enhance decision-making across the organization. As a senior strategist, you will collaborate with various teams, ensuring data products meet business needs and drive innovation.

Qualifikationen

• Experience in data architecture and analytics strategy.
• Proven ability to mentor and support teams.
• Strong collaborative skills across cross-functional teams.

Aufgaben

• Design and implement data mesh architectures.
• Oversee the development of high-quality data products.
• Mentor technical teams while fostering continuous improvement.

Kenntnisse

Data architecture

Data analytics

Strategic guidance

Collaboration

Jobbeschreibung

What you´ll do

• Act as a trusted advisor to Henkel Adhesives business and technical stakeholders, providing strategic guidance on data & analytics architecture, data products strategy and best practices for data-driven decision-making
• Design and implement scalable data mesh architecture, reusable data products, enabling decentralized data ownership and self-service data capabilities across the organization
• Solution architecture design of end-to-end data solutions, ensuring seamless integration, scalability, and high availability of data products across multiple business data domains
• Drive the development and execution of the Henkel Adhesives enterprise data strategy, ensuring alignment with business goals and enabling data interoperability across domains
• Oversee the development of reusable, high-quality data products and assets, ensuring they are discoverable, maintainable, and aligned with business needs
• Facilitate proof of concepts (PoCs) and rapid prototyping to validate solution designs, test new approaches, and accelerate delivery of data initiatives
• Collaborate with cross-functional teams, including business stakeholders, product owners, and data engineers, to ensure alignment on solution design, scalability, and quality
• Mentor and support technical product owners, data engineers, and analysts while fostering a culture of continuous improvement, knowledge sharing, and technical excellence