Head of Data Product

We are looking for an experienced Product Lead to own the end-to-end development of Datos’ data products: from idea validation to market delivery. You’ll define what data products we build, work with datasets that process billions of lines, ensure their quality and compliance, and lead a cross-functional team to deliver them reliably and at scale.

This role requires deep product ownership, strong technical fluency, and the ability to translate data capabilities into clear business value for enterprise clients.

• Define product strategy and roadmap for aggregated and derivative data products.

• Lead a cross-functional team of data analysts, scientists, and engineers through discovery, build, and delivery stages.

• Validate product-market fit through targeted use cases and lightweight experiments before full development.

• Establish and monitor data & data products quality metrics.

• Partner with Marketing and Sales to position products, test demand, and support client adoption.

• Provide clear, concise documentation for internal and external audiences: schemas, dictionaries, guardrails, and release notes.

• Support commercial teams with playbooks and client Q&A guidance.

• Track operational efficiency and data processing costs to optimize product ROI.

Requirements

Experience & Ownership

• 5+ years in product management or product development, with a focus on Big Data, analytics, or ML-driven products in B2B.

• Proven ability to define product vision and strategy, translating it into clear roadmaps and measurable outcomes.

• Experience owning the full product lifecycle: from discovery and validation to delivery, iteration, and scaling.

• Demonstrated leadership of multidisciplinary teams (Product, Data Science, Data Engineering, QA) to deliver complex data products end-to-end.

Data & Technical Fluency

• Technical background

• Ability to read and interpret raw data samples, logs, and data schemas to identify issues and opportunities.

• Deep understanding of machine learning principles and how they apply to data classification, validation, and enrichment.

• Familiarity with LLM concepts

Product Discovery & Market Validation

• Skilled in hypothesis-driven discovery and rapid validation through prototypes or narrow use cases.

• Ability to connect raw data capabilities to specific customer problems and commercial outcomes.

• Experience working closely with marketing or sales to test demand and refine positioning.

Communication & Leadership

• Strong ability to communicate complex data concepts to both technical and business audiences.

• Excellent English communication skills (written and spoken), comfortable in client-facing discussions.

• Confident leading discussions with engineers, analysts, and external clients.

• Excellent documentation and storytelling skills for internal alignment and external presentations.

Conditions

• Flexible working hours

• Unlimited PTO

• Flexi Benefit for your hobby

• Employee Support Program

• Loss of family member financial aid

• Employee Resource Groups 

• Meals, snacks, and drinks at the office

• Corporate events

• Teambuilding

• Training, courses, conferences