Senior Project Manager

Location: Bengaluru

Experience: 10–15 Years

Salary Range: ₹30–45 LPA 

Primary Skills

• Project Delivery Management
• Fixed Price Delivery Management
• Estimations & Metrics
• Client & Stakeholder Management
• Communications Management
• Agile / Scrum (CSM or PSM1 Required)
• Agile Metrics & Reporting

Specialization

Project Management – Senior Project Manager (Data & Analytics Projects)

Job Summary

We are seeking a Senior Project Manager with a strong background in consulting, analytics, and engineering leadership. This role requires hands-on experience in managing large-scale data engineering, BI, and AI/ML delivery teams, while ensuring seamless project execution, client satisfaction, and value-driven outcomes. The ideal candidate is a strategic leader who brings strong communication, cross-functional coordination, and the ability to oversee complex data programs in analytics-driven environments.

Key Responsibilities

• Lead end-to-end delivery of data engineering, analytics, and AI projects in an Agile environment.
• Manage fixed-price and outcome-based delivery, ensuring quality, timelines, and financial success.
• Oversee multi-disciplinary teams across engineering, BI, QA, and DevOps.
• Maintain strong client relationships and act as the key delivery partner and escalation point.
• Develop project plans, estimation models, delivery frameworks, and SLA adherence metrics.
• Drive creation of user stories, backlog prioritization, and sprint planning.
• Ensure efficient communication across business, engineering, product, and customer teams.
• Identify project risks, mitigation plans, and governance frameworks.
• Support continuous improvement, Agile coaching, and delivery excellence programs.
• Work closely with BI teams (preferably using Sigma) to review reporting outputs and analytics deliverables.
• Ensure technical depth across data warehousing, ETL/ELT pipelines, and cloud engineering workflows.

Must-Have Qualifications

• Consulting background with experience in project and client management.
• Strong communication skills with executive-level stakeholder handling.
• Proven experience leading data engineering, analytics, and AI/ML delivery teams.
• Hands-on knowledge of data warehousing concepts and engineering workflows.
• Experience with BI reporting tools (Sigma preferred).
• Strong understanding of Agile delivery & project governance.
• Experience in: Data Quality (DQ) DevOps processes QA & testing lifecycle
• Industry exposure in warehousing and logistics is a strong advantage.
• Knowledge of Text-to-SQL concepts.
• Basic understanding of Node.js.
• Must come from a data analytics background.

Preferred Qualifications

• Experience working directly with DQ, DevOps, and QA teams.
• Domain experience with supply chain, warehousing, or logistics companies.
• Familiarity with building or evaluating Text-to-SQL frameworks.
• Technical exposure to backend ecosystems including Node.js.