Cloud Amaze - Data Technical Project Manager

Hexaware Technologies; Chennai District; Hybrid; INR 3,500,000 - 5,500,000; Full time

Job summary

Hexaware Technologies in Chennai seeks a Senior Technical Project Manager to drive data transformation programs, including data engineering, warehousing, and cloud migrations. You will partner with architects, engineers, analysts and stakeholders to deliver complex data initiatives end-to-end.

The role requires proven leadership, strong communication, and experience guiding Agile/Hybrid delivery with governance metrics and customer success focus.

Qualifications

• 12-15 years IT experience with 5+ years in Project/Program Management for data initiatives.
• Strong knowledge of Data Engineering, Analytics, Warehousing, Governance and AI/ML concepts.
• Experience leading cross-functional teams across data, cloud, BI, QA, DevOps and analysts.
• Excellent communication and stakeholder management; PMP/PRINCE2 or PMI-ACP preferred.

Responsibilities

• Lead large-scale Data Transformation, Data Modernization, Data Migration, and Cloud Data Platform initiatives.
• Define solution architecture, data pipelines, integrations, and dependencies.
• Manage cross-functional teams across multiple technologies and roles.
• Build trust with executives; manage budget, governance, and delivery dashboards.
• Drive Agile/Hybrid delivery, risk management, and escalation handling.
• Track KPIs, velocity, schedule adherence, and forecast accuracy.

Skills

Technical Delivery Management

Data Engineering

Cloud Technologies

Project Lifecycle Management

AI-Driven Solutions

Solution Architecture

Agile Delivery

Customer & Stakeholder Management

Delivery Operations

Team Leadership

Tools

AWS

Azure

Snowflake

Databricks

AI/GenAI

DevOps

Kubernetes

Data Governance

Job description

Role & responsibilities

Primary Skill Set:

Technical Delivery Management, Data Engineering, Cloud Technologies, Project Lifecycle Management (Pre-sales to Delivery), AI-Driven Solutions, Solution Architecture, Agile Delivery, Customer & Stakeholder Management, Delivery Operations

Secondary Skill Set:

P&L Management, Resource & Utilization Management, Risk & Dependency Management, Design Thinking, DevOps, SDLC Governance, Product Engineering, Team Leadership

Tech Stack should have exposure in some of the below :

Cloud Platforms (AWS, Azure), Data Platforms (Big Data), Snowflake, Databricks, AI/GenAI, DevOps, Agile Frameworks, Solution Architecture, Data Engineering

Job Description for Technical Project Manager (Data Projects) -

• 12-15 years of overall IT experience with 5+ years in Project/Program Management, including successful delivery of large-scale Data Transformation, Data Modernization, Data Migration, and Cloud Data Platform initiatives.
• Strong understanding of Data Engineering, Data Analytics, Data Warehousing, Business Intelligence, Data Governance, Data Quality, and AI/ML concepts, with the ability to understand solution architecture, data pipelines, integrations, and technical dependencies.
• Proven experience managing cross-functional teams across multiple technologies, including Data Engineers, Architects, BI Developers, Analysts, Cloud Engineers, QA, DevOps, and Business Analysts.
• Strong customer-facing and stakeholder management skills with the ability to build trust, establish credibility, manage executive relationships, and maintain high customer confidence throughout the project lifecycle.
• Expertise in project planning, estimation, budgeting, forecasting, resource allocation, capacity planning, vendor coordination, and translating business requirements into executable delivery plans.
• Hands-on experience driving Agile, Scrum, Kanban, Waterfall, or Hybrid delivery models, while proactively managing risks, issues, assumptions, dependencies, and escalations.
• Strong experience in defining, tracking, and presenting project governance metrics, KPIs, executive dashboards, and delivery health indicators, including schedule adherence, milestone tracking, velocity, productivity, effort variance, and forecast accuracy.
• Proven ability to manage resource utilization, team performance, workload balancing, onboarding, and operational efficiency while ensuring delivery excellence and predictable outcomes.
• Experience measuring and improving customer success metrics such as CSAT, SLA adherence, stakeholder satisfaction, escalation trends, quality metrics, and overall project health through data-driven decision‑making.
• Excellent communication, leadership, presentation, negotiation, and conflict‑resolution skills, with PMP, PRINCE2, PMI-ACP, Scrum Master, or equivalent certifications preferred.