Data Engineering Project Manager

1 day ago

Davangere, Karnataka, India beBeeTechnical Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Lead Data Platform Delivery

We are seeking an experienced Technical Project Manager to lead the end-to-end delivery of our data platform, AI, BI, and analytics projects. This includes ownership of data platform projects ensuring alignment with business objectives and stakeholder expectations.

The ideal candidate will have a solid understanding of modern data architecture: data lakes, warehouses, pipelines, ETL/ELT, governance, and AI tooling. They should also be familiar with cloud platforms (e.g., Azure, AWS, GCP) and DataOps/MLOps practices.

This role involves developing comprehensive project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables. You will lead cross-functional teams including data engineers, data scientists, BI analysts, architects, and business stakeholders to deliver high-quality solutions on time and within budget.

The successful candidate will have hands-on experience in data engineering, including data pipelines, ETL processes, and data integration workflows. They should also have a proven track record managing data engineering, analytics, or AI/ML projects end to end.

Main Responsibilities:

  • Own the delivery of data platform projects ensuring alignment with business objectives and stakeholder expectations.
  • Develop comprehensive project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables.
  • Lead cross-functional teams including data engineers, data scientists, BI analysts, architects, and business stakeholders to deliver high-quality solutions on time and within budget.
  • Capture and translate business requirements into actionable user stories and acceptance criteria for data and analytics solutions.
  • Oversee BI and analytics area including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities.

Requirements:

  • 13+ years of experience in IT with 6+ years as a Technical Product Manager, Technical Program Manager, or Delivery Lead.
  • Hands-on experience in data engineering, including data pipelines, ETL processes, and data integration workflows.
  • Proven track record managing data engineering, analytics, or AI/ML projects end to end.
  • Solid understanding of modern data architecture: data lakes, warehouses, pipelines, ETL/ELT, governance, and AI tooling.
  • Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and DataOps/MLOps practices.
  • Strong knowledge of Agile methodologies, sprint planning, and backlog grooming.
  • Excellent communication and stakeholder management skills.

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