Technical Project Manager

Weekday AI

Pune District

Vor Ort

INR 1.500.000 - 2.100.000

Vollzeit

Vor 2 Tagen
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Zusammenfassung

Weekday AI in India seeks an experienced Project Manager with data engineering expertise (Datastage, Netezza, SQL, Snowflake, Informatica) to lead L3 support projects in Banking. You will drive delivery management, client communication, agile execution and team leadership across Pune and Bengaluru.

The role requires strong coordination of end-to-end delivery, fixed-price projects, and rigorous metrics. Shift/roster management may be involved to ensure delivery success.

Qualifikationen

  • Must have strong delivery management, client communication, and agile execution skills.
  • Experience leading L3 support projects in Banking/BFSI is essential.
  • Ability to create user stories, requirements docs, and ensure outcome alignment.
  • Knowledge of modern data engineering ecosystems and digital acumen beneficial.
  • Certifications preferred: CSM or PSM I.

Aufgaben

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

Kenntnisse

Datastage
Netezza
SQL
Snowflake
Informatica
Banking/BFSI
Project Delivery Management
Client Management
Agile
Backlog Grooming
Requirements/User Stories
CSM/PSM I
Data Engineering
ETL Datawarehouse

Ausbildung

Tools

Datastage
Netezza
SQL
Snowflake
Informatica

Jobbeschreibung

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 Managerwith strong expertise in data engineering technologies(Datastage, Netezza, SQL, Snowflake, Informatica) and a proven track record managing L3 support projectsin the Banking domain. The role requires excellence in delivery management, client communication, agile execution, and team leadership.

Key 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.

Required Skills

  • Strong understanding of Datastage, Netezza, SQL, Snowflake, Informatica.
  • Experience in Banking/BFSIprojects (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 Deliveryand high-quality project execution.
  • Knowledge of Digital Acumenand 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

Good-to-have skills

Agile, SQL, Ibm datastage

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