Data Project Manager – Databricks & Agile Delivery

ValueMomentum, Inc.

Hyderabad City Taluka

On-site

PKR 1,800,000 - 2,400,000

Full time

2 days ago

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Job summary

ValueMomentum, Inc. is actively seeking an experienced Data Technical Project Manager to lead end-to-end data initiatives, coordinating Databricks engineers and data professionals, and ensuring governance and successful delivery across teams.

You will manage Azure DevOps boards, define scope, milestones, and dependencies, and drive Scrum ceremonies while collaborating with product owners and stakeholders to achieve timely, high-quality outcomes.

Qualifications

12–15 years of experience in project management within P&C Insurance.
Strong experience in data project handling and end-to-end delivery.
Deep knowledge of Data Engineering, Data Architecture, Data Modelling, and Databricks.
Experience with Agile/Scrum methodologies and ceremonies.
Proven ability to coordinate cross-functional data teams.
Experience using Azure DevOps boards for project tracking.
Excellent stakeholder management, communication, leadership, and organization skills.

Responsibilities

Lead and manage end-to-end data projects from planning to closure.
Run and facilitate daily Scrum calls, sprint planning, reviews and retrospectives.
Coordinate Databricks Engineers, Data Analysts, Data Modelers and other data professionals.
Maintain and manage Azure DevOps boards with up-to-date work items, stories, tasks, priorities and dependencies.
Define scope, timelines, milestones, dependencies, and deliverables with technical teams.
Drive Agile delivery ensuring on-time completion within scope and quality.
Provide technical direction on data engineering, architecture, modelling, and Databricks solutions.
Track progress, risks, issues and blockers, driving them to closure.
Coordinate with Product Owners, Business Analysts, Architects, Engineers and stakeholders for alignment.
Monitor sprint commitments, capacity, velocity and delivery metrics.
Communicate status, risks and decisions to leadership.
Support teams in resolving challenges and enable cross-workstream collaboration.
Enforce governance, processes, documentation and quality standards.