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Project Manager

Entrada AIGlobalnieGlobalnie

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano16 sierpnia 2026
Wykryte przez nas
Wykryte przez nas17 sierpnia 2026
Zarobki
ZarobkiDo uzgodnienia

Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures, recognized for excellence in deploying data solutions at enterprise scale. We are seeking an experienced Project Manager to lead high-impact Data and AI initiatives, acting as the vital bridge between client business ambitions and our engineering team's technical execution.

Key responsibilities

  • Lead technology projects from initial analytical workshops and architecture planning through to implementation and production deployment.
  • Manage cross-functional teams of data engineers, analysts, and backend developers to ensure efficient workflows and high technical standards.
  • Coordinate the implementation of Databricks-centric data platforms, ETL/ELT pipelines, and sophisticated analytical systems.
  • Act as the primary point of contact and technical advisor for Fortune 500 stakeholders, building trust through transparent communication.
  • Proactively identify technical bottlenecks and project risks while managing scope and project economics.

Requirements

  • 3–5 years of IT project management experience within professional services or consulting, specifically in Data Engineering or BI.
  • Successful management of at least 3 full project lifecycles from scoping through to production deployment.
  • Excellent knowledge and practical application of Agile (Scrum) in a technical environment.
  • Ability to lead meaningful discussions regarding system architecture, data processing, and integrations.
  • Fluent English (C1 level or higher) with exceptional stakeholder management skills.

What we offer

  • 100% remote work environment with full flexibility.
  • Support for professional growth, including coverage for all Databricks technical certifications.
  • Opportunities to present at global industry conferences and contribute to technical thought leadership.
  • Direct collaboration with Databricks MVPs and core product teams.

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