Head Of Delivery - Data, Analytics & AI Services

remotestar-team; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

remotestar-team in Hyderabad, India, seeks an experienced Delivery Head to lead end-to-end delivery across data engineering, analytics, BI, AI/ML, and data science programs for enterprise clients.

You will own delivery governance, customer success, and profitability, manage offshore/onsite teams, coordinate with stakeholders, and guide pre-sales discussions to shape data & analytics opportunities.

Qualifications

• 15+ years total experience with at least 8+ years in Delivery Leadership, Program Management, or Account Management roles.

Responsibilities

• Own end-to-end delivery of Data, Analytics, AI programs.

Skills

Delivery leadership

Program management

Data engineering

BI analytics

AI/ML delivery

Stakeholder management

Executive communication

Delivery governance

Agile/Hybrid delivery

Pre-sales support

Tools

Jira

Confluence

Azure DevOps

Job description

Job Summary

We are seeking an experienced Delivery Head to lead end-to-end delivery of Data

Engineering, Analytics, Business Intelligence, AI/ML, and Data Science programs across

enterprise clients. The role owns end-to-end delivery, customer success, operational

governance, commercial performance, profitability and delivery excellence while ensuring

successful execution of large-scale technology initiatives.

Mandatory Skills

• 15+ years of overall experience with at least 8+ years in Delivery Leadership, Program Management, or Account Management roles
• Proven experience delivering Data Engineering, Business Intelligence, Analytics, AI/ML, and Data Science programs
• Strong experience managing large cross-functional and distributed delivery teams
• Expertise in stakeholder management, customer engagement, and executive-level communication
• Experience managing delivery governance, resource planning, risk management, and operational excellence
• Strong understanding of Agile, Scrum, Waterfall, and Hybrid delivery methodologies
• Experience with Jira, Confluence, Azure DevOps, and project governance tools
• Strong exposure to Cloud, Data Platforms, Analytics, AI, and Data Science ecosystems
• Experience managing offshore, onsite, and global delivery models
• Ability to support pre-sales activities, solution discussions, delivery estimations, and proposal inputs for Data & Analytics opportunities
• Banking & Financial Services domain experience is highly preferred

Key Responsibilities

a) Delivery Strategy & Program Governance

• Own end-to-end delivery of Data, Analytics, AI, programs
• Establish delivery governance frameworks, reporting standards, and operational controls
• Lead Portfolio Governance, PMO Standards, executive dashboards, delivery health reviews and steering committees working closely with the Project Manager.
• Ensure successful delivery within scope, budget, timeline, and quality expectations
• Drive portfolio-level planning, prioritization, and execution across multiple engagements
• Monitor project health, risks, dependencies, escalations, and mitigation plans

b) Client & Stakeholder Management

• Build and maintain strong relationships with business and technology stakeholders
• Provide executive-level status reporting, governance updates, and delivery insights
• Manage customer expectations and ensure high levels of satisfaction and trust

c) Team Leadership & Resource Management

• Lead Delivery Managers, Project Managers, Architects, Data Engineers, Analysts, QA teams, and cross-functional delivery teams
• Drive resource planning, workforce utilization, and capacity management
• Foster a culture of accountability, collaboration, innovation, and continuous improvement
• Mentor and develop future leaders within the delivery organization
• Support hiring, onboarding, and capability-building initiatives

d) Operational Excellence & Continuous Improvement

• Drive standardization, automation, and delivery process improvements
• Establish best practices for quality management, project governance, and customer engagement
• Promote Agile delivery principles and continuous improvement across teams
• Ensure compliance with organizational standards, security policies, and governance requirements
• Support pre-sales activities by contributing to solution discussions, estimations, capability presentations, and delivery planning for prospective engagements

Technical Skills

• Delivery Platforms: Jira, Azure, DevOps, Confluence
• Cloud – Azure, AWS, GCP
• Data Platforms – DataBricks or SnowFlake or Informatica