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Head of Delivery Engineering

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Hybrid

Head of Delivery Engineering

Nezda Global

Head of Delivery Engineering

Skills

Data EngineeringData ScienceSales OpsCybersecurityAICompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Metro Manila, Philippines

Work mode:

Hybrid

Published on:

10 August 2026

What they need


About the Role As the Associate VP, Head of Delivery Engineering , you will own the engineering strategy supporting live client delivery across multiple concurrent programs. You will lead cross-functional engineering teams, build reusable tools and automation, and act as the senior technical counterpart to client engineering leadership.

Key Responsibilities

  • Define and execute the engineering strategy and roadmaps for the AI/LLM Practice.
  • Build reusable platforms, internal tools, and automation frameworks to optimize delivery efficiency.
  • Lead engineering workstreams consisting of software engineers, data engineers, automation engineers, and technical leads.
  • Manage a flexible workforce model combining permanent staff, contractors, and specialized consultants.
  • Serve as the main engineering counterpart to client engineering, product, and platform leadership.
  • Partner with commercial and delivery teams on technical solutioning, architecture, and pre-sales engineering estimation.
  • Own the engineering budget, driving measurable cost-avoidance and revenue-enabling initiatives.
  • Ensure strict compliance with enterprise security requirements, data handling standards, and development controls.

Must-Have Qualifications

  • Proven background in shipping production systems and leading client-facing delivery engineering organizations.
  • Demonstrated expertise across software engineering, data science, data engineering, and applied AI.
  • Deep experience organizing cross-functional technical teams (software, data, testing, leads) for concurrent client programs.
  • Background managing blended workforce models involving permanent staff, contractors, and consultants.
  • Strong track record in pre-sales support, technical architecture design, and client-facing stakeholder management.
  • Experience managing engineering budgets, financial stewardship, and ROI tracking for tech initiatives.

Good-to-Have

  • Experience with large language model (LLM) workflows and specialized AI practice delivery.
  • Familiarity with enterprise software development controls and Information Security Management Systems (ISMS).

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