Technical Project Manager

Job Summary

Senior Technical Data Project Manager - Data & Analytics (Azure/GCP) | 15+ years’ experience

Seeking an experienced Senior Technical Data Project Manager to lead enterprise Data & Analytics transformation programs on Azure and/or GCP, with strong delivery, stakeholder management, presales, RFP, and proposal support capabilities.

Collaborate with business, architecture, engineering, delivery, and sales teams to deliver cloud-based data modernization initiatives.

Key Responsibilities

Key Responsibilities

Program & Project Delivery

• Manage end-to-end Data & Analytics program delivery.
• Lead planning, estimation, budgeting, staffing, execution, and reporting.
• Drive Agile, Scrum, or hybrid delivery across distributed teams.
• Track risks, issues, dependencies, governance, quality, and financials.
• Ensure smooth transition from initiation to deployment and support.

Technical Leadership

• Partner with architects and engineering teams on delivery strategy.
• Oversee Data Lake, Warehouse, Lakehouse, BI, AI, and modernization solutions.
• Review solution designs, risks, and roadmaps.

Stakeholder & Client Management

• Serve as the primary client and executive stakeholder contact.
• Manage expectations, escalations, communications, workshops, and reviews.
• Build strong relationships with customer leadership and sponsors.

Presales, RFP &Proposals

• Lead RFP/RFI/RFQ responses, proposals, SOWs, and delivery commercials.
• Define delivery strategy, estimates, timelines, staffing, risks, assumptions, and migration approach.
• Partner with Sales, Presales, Architects, and SMEs for solutions, presentations, and proposal defense.

Skill Requirements

Required Skills Project & Program Management Large-scale program/project management. Agile, Scrum, Kanban, and Waterfall delivery. RAID, resource, vendor, budget, forecasting, and stakeholder management. Data & Analytics Expertise Data Warehousing, Data Lakes, Lakehouse, ETL/ELT, integration, and migration. Data Governance, Data Quality, BI, reporting, AI/ML, and analytics platforms. Azure Technology Experience Exposure to: ADF, Databricks, Synapse, ADLS, Microsoft Fabric, Azure SQL, Power BI, Azure DevOps, and Purview. GCP Technology Experience Exposure to: BigQuery, Dataflow, Dataproc, Cloud Data Fusion, Pub/Sub, Cloud S

Other Requirements

Preferred Qualifications

• Cloud migration/modernization and global delivery management experience.
• Strong proposal writing, client presentation, and CXO engagement skills.
• Managed services and transformation delivery experience.

Preferred Certifications

• PMP/PRINCE2, CSM/SAFe.
• Must have : Basic level Azure or Google services Fundamental certification
• Good to have: Azure Solutions Architect, Azure Data Engineer, Google Professional Data Engineer, or Google Cloud Architect.

Key Success Metrics

• On-time, on-budget delivery with customer satisfaction.
• Revenue, margin, utilization, and delivery excellence.
• Successful modernization outcomes and high-quality RFP/proposal responses.