Technical Project Manager

• *Job Summary**
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• *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**
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• *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**
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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

• *Must Have Skill**
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Azure Cloud Services,Data Analytics,Google Cloud Platform (GCP),Project Management

• *Good to Have Skill**
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• *Other Requirements**
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• *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.