Head of Data Intelligence Products
GermanyFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 10+ years of experience in Product Management, including at least 4+ years in a leadership role managing Product Managers.
- Required Skills
- Artificial IntelligenceMachine LearningProduct ManagementStakeholder managementStrategic thinking
Requirements
- 10+ years of experience in Product Management, including at least 4+ years in a leadership role managing Product Managers.
- Deep expertise in the modern data ecosystem, including data governance, data cataloging, data quality, and data mesh principles.
- Strong understanding of AI/ML concepts, including LLMs and AI agents, with the ability to apply them to real-world data problems.
- Proven ability to translate strategic vision into detailed product roadmaps and technical execution plans.
- Experience working in both fast-paced startup environments and large enterprise or corporate structures.
- Strong technical fluency with cloud-native architectures and data platform ecosystems.
- Experience leading globally distributed teams across multiple regions and time zones.
- Excellent communication skills with the ability to simplify complex technical concepts for executive-level stakeholders.
- Strong stakeholder management skills, particularly with enterprise customers such as Chief Data Officers.
- Strategic thinker with strong execution capabilities and a track record of delivering impactful product outcomes.
Responsibilities
- Define and drive the product vision and roadmap for Data Intelligence solutions, aligning closely with executive leadership and long-term company strategy.
- Lead and mentor a distributed team of Product Managers across Europe and the US, fostering high performance, innovation, and execution excellence.
- Oversee the development of AI-native capabilities, including AI agents for data discovery, governance, and intelligent automation of data workflows.
- Translate strategic product vision into clear technical roadmaps and execution plans in collaboration with engineering leadership.
- Act as a key liaison with Chief Data Officers and enterprise clients to understand their needs and support digital transformation initiatives.
- Build and maintain strong relationships with industry analysts (e.g., Gartner, Forrester) to position the product as a category leader.
- Collaborate closely with engineering teams to ensure alignment on cloud-native architecture, AI/ML capabilities, and scalable system design.
- Drive the evolution of data intelligence from traditional metadata management toward AI-driven, automated, and self-service data platforms.
- Influence product strategy through market insights, customer feedback, and competitive analysis.
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