Technical Project Manager-Data Engineering

7 days ago

Kottayam, Kerala, India Reflections Info Systems Full time

We are looking for 13+years experienced candidates for this role.

Mode: Hybrid

Preferred Location: Cochin/Trivandrum/Chennai

Primary Skills :

  • Overall 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

Responsibilities include:

  • Own the end-to-end delivery of data platform, AI, BI, and analytics 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.
  • 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.
  • Define, prioritize, and manage product and project backlogs covering data pipelines, data quality, governance, AI services, and BI dashboards or reporting tools.
  • Collaborate closely with business units to capture and translate 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.
  • Ensure data quality, lineage, security, and compliance requirements are integrated throughout the project lifecycle, in collaboration with governance and security teams.
  • Coordinate UAT, performance testing, and user training to ensure adoption and successful rollout of data and analytics products.
  • Act as the primary point of contact for all project stakeholders, providing regular status updates, managing risks and issues, and escalating as necessary.
  • Facilitate agile ceremonies such as sprint planning, backlog grooming, demos, and retrospectives, fostering a culture of continuous improvement.
  • Drive post-deployment monitoring and optimization of data and BI solutions to meet evolving business needs and performance standards.

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