Nezda Global
Head of Delivery Engineering
Skills
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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