Senior Data Platform Leader

2 days ago

Vadodara, Gujarat, India beBeeDataEngineering Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Technical Project Manager Data Engineering Job Description

We are seeking an experienced Technical Project Manager to lead the delivery of data engineering projects.

  • Responsibilities include:
  1. End-to-end project delivery: Own the end-to-end delivery of data platform, AI, BI, and analytics projects, ensuring alignment with business objectives and stakeholder expectations.
  2. Project planning: Develop and maintain comprehensive project plans, roadmaps, and timelines for data ingestion, transformation, governance, AI/ML models, and analytics deliverables.
  3. Team leadership: Lead 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.
  4. Product backlog management: Define, prioritize, and manage product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools.
  5. Requirement gathering: Collaborate closely with business units to capture and translate requirements into actionable user stories and acceptance criteria for data and analytics solutions.
  6. BI and analytics oversight: Oversee BI and analytics area including dashboard development, embedded analytics, self-service BI enablement, and ad hoc reporting capabilities.
  7. Data quality and security: Ensure data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle, in collaboration with governance and security teams.
  8. UAT and training: Coordinate UAT, performance testing, and user training to ensure adoption and successful rollout of data and analytics products.
  9. Stakeholder management: Act as the primary point of contact for all project stakeholders, providing regular status updates, managing risks and issues, and escalating as necessary.
  10. Audit and optimization: Drive post-deployment monitoring and optimization of data and BI solutions to meet evolving business needs and performance standards.

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