Technical Project Manager (Data & Analytics)

Job highlights

• Bachelor s Degree in Computer Science,Information Technology,Engineering,MCA,or a related field. . 12 15 years of overall IT experience with significant experience in Technical Project Management.
• Preferred Qualifications . PMP Certification. . Scrum Master Certification. . Databricks Certification. . Azure,AWS,or Snowflake Certifications.
• Experience: 12 15 Years

Technical Project Manager (Data Analytics)

Job Category: IT

Job Type: Full Time

Job Location: Pune

Position: Technical Project Manager Data Analytics
Experience: 12 15 Years
Location: Pune (Baner) Hybrid
Notice Period: Immediate to 45 Days
Employment Type: Full-Time

Mandatory Skills:Databricks Implementation/Delivery,Fixed Price Project Delivery,ETL Tools(Informatica, DataStage, Ab Initio, SSIS),Stakeholder Management,Cloud Platform

About the Role

We are seeking an experienced Technical Project Manager to lead large-scale Data Analytics engagements for enterprise clients. The ideal candidate will possess strong project delivery expertise, hands-on understanding of Databricks and ETL technologies, and proven experience in managing fixed-price projects from initiation through successful completion.

This role requires excellent stakeholder management, leadership capabilities, and the ability to oversee cross-functional teams while ensuring projects are delivered on time, within budget, and with the highest quality standards.

Key Responsibilities

• Own end-to-end project delivery for Data Analytics programs from initiation to closure.
• Manage fixed-price projects while ensuring adherence to scope, budget, timelines, and quality standards.
• Develop detailed project plans, schedules, resource plans, and delivery roadmaps.
• Lead and manage large cross-functional teams comprising Data Engineers, ETL Developers, Architects, Business Analysts, QA Engineers, and other stakeholders.
• Coordinate project activities across multiple workstreams and ensure seamless collaboration among teams.
• Act as the primary point of contact for clients and business stakeholders.
• Provide regular project status updates, risk assessments, and executive-level reporting.
• Ensure successful execution of Databricks-based data engineering and analytics initiatives.
• Collaborate with technical architects and delivery leads to define scalable and efficient solutions.
• Drive project governance, change management, issue resolution, and escalation management.
• Monitor project KPIs, milestones, deliverables, and resource utilization.
• Identify project risks proactively and implement mitigation plans.
• Ensure compliance with organizational delivery processes, quality standards, and best practices.
• Manage project financials, budgets, margins, and overall project profitability.

Mandatory Skills Experience

• Bachelor s Degree in Computer Science, Information Technology, Engineering, MCA, or a related field.
• 12 15 years of overall IT experience with significant experience in Technical Project Management.
• Proven experience in executing and delivering Fixed Price projects for enterprise clients.
• Strong experience in project planning, estimation, tracking, and reporting using Microsoft Project or similar project management tools.
• Hands-on understanding of Databricks implementation and execution projects.
• Experience managing Data Engineering, Data Warehouse, and Analytics programs.
• Strong knowledge of cloud-based data platforms such as Azure, AWS, Snowflake, and Databricks.
• Experience working with ETL technologies such as:
  • Informatica
  • DataStage
  • Ab Initio
  • SSISExperience with at least two ETL tools is highly preferred.
• Strong stakeholder management and client-facing experience.
• Proven experience leading teams of 35 50 members.
• Excellent communication, presentation, and documentation skills.
• Strong analytical and problem-solving abilities.

Preferred Qualifications

• PMP Certification.
• Scrum Master Certification.
• Databricks Certification.
• Azure, AWS, or Snowflake Certifications.
• Experience in large-scale cloud data modernization programs.
• Exposure to Agile and Hybrid delivery methodologies.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.