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Technical Delivery Manager – Data & AI

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Onsite

Technical Delivery Manager – Data & AI

Impelsys

Technical Delivery Manager – Data & AI

Skills

SQL QueriesData AnalysisAIAWSChange ManagementContract Management

13 days ago

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Important information


Contract type:

Permanent, Freelance / Contract

Location:

Karnataka, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Work Location: Bangalore

About Us

We are growing our Data & AI practice, which delivers cloud data platforms, data modernisation and migration, analytics and AI-enabled engineering for global enterprise clients. You will work in cross-functional teams on long-term engagements, using modern cloud technologies and AI-assisted engineering practices. Location: Offshore (India) · Full-time.

Role Summary

Runs data and AI engagements day to day – plan, people, risks, stakeholders and scope – and bridges business needs and the engineering team.

Experience

Level

Total experience

Relevant experience (must)

Delivery Manager

12+ years

5+ years delivering data platform, migration or analytics projects; 2+ years in business analysis / product ownership

Roles & Responsibilities

  • Own plan, milestones, budget, risks and status reporting
  • Run agile ceremonies, steering meetings and phase gates
  • Capture requirements and acceptance criteria; manage the backlog
  • Manage client dependencies, change requests and scope
  • Coordinate UAT, change management and knowledge transfer
  • Track delivery metrics, including AI-assisted productivity

Mandatory Skills

  • Delivery of data / cloud projects
  • Agile and stage-gate delivery; RAID and change control
  • Requirements analysis and backlog management
  • Stakeholder management across multiple teams
  • Working knowledge of SQL and cloud data concepts

Nice to Have

  • Marketing technology / customer data domain
  • AWS data services awareness
  • Commercial and contract management

Also Expected

Clear communication with remote client stakeholders across time zones; Comfortable using AI coding and productivity tools, and reviewing AI-generated work critically; Agile ways of working; ownership and accountability. Certifications: PMP / PRINCE2 / SAFe; CSPO or CBAP (plus).

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