Technical Project Manager-Data Engineering
4 weeks ago
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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