AI-Powered Project Manager

AI AI-Powered Project Manager

The Software Engineering team delivers next-generation application enhancements and new products for a changing world.

Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.

Join us to do the best work of your career and make a profound social impact as an AI-Powered Project Manager on our Software Engineering Team in Singapore.

What you'll achieve

As an AI-Powered Project Manager, you will redefine the delivery paradigm for AI-native engineering.

This is not a traditional coordination role; you will design and operationalize the management systems themselves.

You will combine deep Dell Private Cloud (HCI) expertise with agentic development governance to lead high-stakes delivery.

The ideal candidate translates complex infrastructure domain knowledge into delivery strategies that AI can reason about-building replicable AI PM systems, governing agentic lifecycles, and moving the organization toward a "Status-as-Code" reality.

You will:

1.

Systemic Design & Automation (The "PM Architect")


* Architect "Status-as-Code" Governance: Shift all project artifacts into version-controlled, machine-parseable formats (Markdown/YAML) to enable AI reasoning and automation.


* Build AI-Native Workflows: Design end-to-end PM systems with integrated CI/CD pipelines and automated quality gates.


* Define AI Skills: Architect autonomous "task executors" for automated risk scanning, milestone tracking, and real-time report generation.

2.

Strategic Execution & AI-Augmented Delivery


* Signal-Based Monitoring: Move beyond manual status updates to continuous, signal-based monitoring (velocity changes, incident patterns, and slippage).


* Operationalize Quality Gates: Enforce rigorous Definition of Ready (DoR) and Definition of Done (DoD) through AI-assisted validation.


* Orchestration: Drive alignment across engineering, product, and architecture teams, acting as the systematic owner of delivery outcomes.

3.

Risk & Dependency Management


* Predictive Analytics: Use AI-driven scenario simulations to forecast schedule or scope impacts from change requests before they manifest.


* Spec-Driven Development (SDD): Define and enforce SDD for AI Agent governance (Spec $ightarrow$ Plan $ightarrow$ Implementation $ightarrow$ Human-in-the-loop Review).


* Hybrid Cloud Navigation: Proactively manage complex dependencies across multi-cloud and edge environments.

4.

Communication & Executive Insights


* Instantaneous Reporting: Leverage AI to produce executive-level insights in minutes, translating raw delivery data into actionable strategy for leadership.


* Ad-hoc Querying: Build and maintain the data interfaces that allow leadership to "ask" the project state questions and receive data-backed ...