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Technical Project Manager

Weekday AI

Responsibilities

  • Manage end-to-end project delivery, including scope, timelines, risks, and quality.
  • Handle Fixed Price Delivery, effort estimations, forecasting, and project metrics tracking.
  • Oversee L3 support operations, shift scheduling, SLA adherence, and escalations.
  • Lead and mentor technical teams; handle performance, productivity, and workload planning.
  • Drive Agile ceremonies, backlog grooming, reporting, and coaching teams on Agile best practices.
  • Manage client communications, stakeholder expectations, and business alignment.
  • Create user stories, requirements documentation, and ensure alignment with outcomes.
  • Support change management, process improvements, and delivery governance.

Preferred

  • Agile, SQL, Ibm datastage

Technical Project Manager

Weekday AI · Pune, India · Full-time · Posted 2026-10-07

Description

  • This role is for one of the Weekday's clients
  • Experience: 10+ yrs
  • Location: Pune, Bengaluru
  • Job Type: full-time
  • Shift: Should be open to shift/roster management

Role Summary

We are hiring an experienced Project Manager with strong expertise in data engineering technologies (Datastage, Netezza, SQL, Snowflake, Informatica) and a proven track record managing L3 support projects in the Banking domain. The role requires excellence in delivery management, client communication, agile execution, and team leadership.

Required Skills

  • Strong understanding of Datastage, Netezza, SQL, Snowflake, Informatica.
  • Experience in Banking/BFSI projects (must‑have).
  • Expertise in Project Delivery Management, Fixed Price Delivery, estimation & metrics.
  • Strong in Client Management, Communications Management, stakeholder handling.
  • Proficiency in Agile, Agile Metrics & Reporting, Backlog Grooming, Requirements/User Stories.
  • Ability to Manage Outcome-Based Delivery and high-quality project execution.
  • Knowledge of Digital Acumen and modern data/engineering ecosystems.
  • Certifications preferred: CSM / PSM I.
  • data engineering technologies (Datastage, Netezza, SQL, Snowflake, Informatica) -

ETL Datawarehouse Technology and MDM Knowledge

Hands-on Knowledge of one of the technologies is a huge plus

Must-have skills

Project Management, Banking Domain, Data Engineering

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