Chief Data Engineering Leadership Role

7 hours ago

Dombivli, Maharashtra, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

We are currently seeking an experienced professional for a key leadership role within our organization.

Job Description:

The successful candidate will oversee the delivery of data-driven projects, ensuring alignment with business objectives and stakeholder expectations.

  • Develop and maintain comprehensive project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables.
Requirements:

To be successful in this role, you will require:

  • 13+ years of experience in IT with 6+ years of experience as a Technical Product Manager, Technical Program Manager, or Delivery Lead.
  • Hands-on development 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.
  • Hands-on 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, including working with senior execs and technical leads.
Key Responsibilities:

The ideal candidate will be responsible for:

  • Leading cross-functional teams including data engineers, data scientists, BI analysts, architects, and business stakeholders to deliver high-quality, scalable solutions on time and within budget.
  • Defining, prioritizing, and managing product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools.
  • Collaborating closely with business units to capture and translate requirements into actionable user stories and acceptance criteria for data and analytics solutions.
  • Overseeing BI and analytics area including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities.
  • Ensuring data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle, in collaboration with governance and security teams.
  • Coordinating UAT, performance testing, and user training to ensure adoption and successful rollout of data and analytics products.
  • Facilitating agile ceremonies such as sprint planning, backlog grooming, demos, and retrospectives, fostering a culture of continuous improvement.
  • Driving post-deployment monitoring and optimization of data and BI solutions to meet evolving business needs and performance standards.

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