Product Manager - Data & Platform
Posted 27 days ago · 0 applicants
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The role in plain words
- 3-6 years as a PM working on data platforms, data engines, or data-intensive systems
- SQL/BI
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceProduct Manager - Data & Platform
Dun & Bradstreet Israel · Bnei Brak (Hybrid)
Dun & Bradstreet, the world's largest and leading company in the field of business information, is looking for an experienced Product Manager with a strong background in data and analytics.
As a global leader, we help companies, large and small, drive growth, manage risk, and strengthen the performance of their business.
If you thrive in data-rich ecosystems and want to shape the future of financial insights in one of the most recognized business-intelligence companies - this is your opportunity.
What you’ll do
• Lead critical, company-wide data-product initiatives from concept through delivery
• Build and continuously improve the data engines, pipelines, and processes behind our products
• Develop advanced, data-powered insights and features that go directly into our products and reach users
• Raise the quality, coverage, and freshness of our data - and turn it into real value for customers
• Streamline and automate manual data processes for speed, scale, and consistency
What we’re looking for
• 3-6 years as a PM working on data platforms, data engines, or data-intensive systems- a must
• Fintech, credit, risk, or B2B data background - strong advantage
• Strong grasp of pipelines/ETL, APIs, data quality and scoring/models; data fluency - SQL/BI a plus
• Comfortable partnering deeply with data engineering, data ops, and data science
• Proven specs, sprints, and Agile delivery; strong analytical & stakeholder skills; fluent English; relevant Bachelor’s
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 3-6 years as a PM working on data platforms, data engines, or data-intensive systems