Delivery Manager

Minimum Required Experience

9 years

Full Time

Skills

Technical Architecture

Technical Delivery Management

SDLC

Description

Technical Project Manager

Distributed systems | High-volume data pipeline | Intelligence Platform

Function

Energy DU

Reports to

Delivery Manager

Employment type

Full-time

Location

Trivandrum

Team

NeST Digital

Key Responsibilities

Own end-to-end technical delivery across development, integration, testing, deployment and pilot phases, maintaining the integrated delivery plan, milestones and phase-gate sign-offs.

Coordinate cross-functional engineering workstreams across frontend, backend, data/AI, OT/IoT integration, DevOps, QA and on-site deployment, ensuring dependencies and interfaces are actively managed.

Drive execution and delivery cadence through sprint planning, stand-ups, technical reviews, milestone reviews and action tracking; proactively remove blockers and escalate critical risks.

Manage programme risks, dependencies and changes, maintaining the risk/issue register, mitigation ownership, resource risks and formal change-control process against the approved MVP scope.

Manage pilot and deployment readiness including site readiness, data audits, integration dependencies, hardware/software gaps, environment readiness and customer onboarding milestones.

Provide clear technical programme reporting to Product Owners, Product Managers and Leadership, covering progress, schedule, risks, dependencies, quality, resource status and key decisions.

Technical Skills

Mandatory

Technical Delivery Management

Strong experience managing complex software/technology delivery programmes involving multiple engineering teams and interdependent workstreams.

Understanding of software development lifecycle, Agile/Scrum delivery, CI/CD, testing, release management and production deployment.

Ability to understand technical dependencies across application, API, data, AI/ML, infrastructure and integration layers.

Experience managing delivery schedules, milestones, dependencies, risks, issues, resources and scope/change control.

Working understanding of cloud-based software development and modern software architectures.

Technical Architecture Awareness

Working understanding of distributed systems, microservices/service-oriented architecture and event-driven systems.

Understanding of data pipelines, APIs, databases and high-volume data processing sufficient to identify technical dependencies, delivery risks and integration issues.

Ability to engage effectively with architects and engineering leads and challenge/validate technical delivery assumptions.

Project & Programme Tools

Hands-on familiarity with project delivery and collaboration tools such as Jira, Azure DevOps, Confluence, MS Project, Smartsheet or equivalent.

Ability to maintain delivery plans, RAID logs, dependency trackers, resource plans, dashboards and executive status reports.

Preferred

Exposure to full-stack technologies such as React/Angular, Java/.NET/Node.js/Python and SQL/NoSQL databases.

Experience with high-volume data pipelines, telemetry/time-series systems or data platforms.

Familiarity with Kafka, MQTT or equivalent event/messaging technologies.

Experience with Docker, Kubernetes/container orchestration and cloud platforms such as AWS, Azure or equivalent.

Exposure to ThingsBoard, IoT, OT, SCADA or industrial data platforms.

Familiarity with ML/AI and GenAI delivery lifecycle, including model/data dependencies and AI solution integration.

Experience managing on-premise + cloud/hybrid deployments and site-level technical integration.

Experience in any of Energy, Industrial Power and Oil & Gas with leading a software team.

Qualifications

Mandatory

9+ years of experience in technical project/programme management or software delivery management.

Proven experience delivering complex software/platform programmes with multiple technical workstreams and fixed milestones.

Experience coordinating cross-functional engineering teams across development, QA, DevOps, data/integration and deployment.

Demonstrated ability to manage schedule, scope, risks, dependencies, resources and delivery governance.

Experience operating with formal milestone/phase-gate or equivalent delivery governance and measurable acceptance criteria.

Strong technical communication skills, with the ability to translate engineering progress, risks and dependencies into clear business-level reporting.

Bachelor’s degree in Engineering, Computer Science or a related technical discipline.

Preferred

Experience delivering IoT, SaaS, data platforms, telemetry platforms or distributed systems.

Experience with ThingsBoard, industrial IoT, SCADA or OT integration.

Experience managing programmes involving cloud + on-premise/hybrid infrastructure and container orchestration.

Experience working with lean, startup-speed engineering teams with dedicated project headcount and aggressive MVP timelines.

Exposure to customer-site deployments, pilot programmes, data audits and hardware/software integration.