Head of Engineering & Delivery

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Engineering & Delivery based in the United States.

This is a senior executive leadership role combining technical strategy, professional services delivery, and commercial growth.
You will define the technology vision across cloud, data engineering, and agentic AI while scaling a global delivery organization.
The role spans teams across North America, LATAM, and EMEA, with responsibility for consistent execution, quality, and operational performance.
You will bring deep Google Cloud and enterprise AI expertise to complex transformation initiatives and strategic client engagements.
You will also partner with sales and cloud ecosystem leaders to shape major pursuits, develop solutions, and expand strategic accounts.
The position offers significant influence over technology standards, reusable intellectual property, delivery models, and market presence.
It is suited to an executive-level technology leader who can combine technical credibility with commercial and operational discipline.

Accountabilities

• Define the overall technology strategy, architectural standards, and innovation roadmap across cloud, data engineering, AI, and agentic AI initiatives.

• Lead the development and productization of proprietary technology assets, reusable frameworks, solution patterns, and delivery methodologies.

• Establish a strong technical presence in the market through industry events, thought leadership, whitepapers, and relationships across the cloud ecosystem.

• Scale and govern a multi-geographic professional services delivery organization spanning North America, LATAM, and EMEA.

• Establish delivery governance, quality gates, RAID management, project health reviews, and other mechanisms that support predictable, high-quality outcomes.

• Serve as an executive delivery sponsor for strategic enterprise accounts and help resolve complex technical or operational challenges.

• Partner with sales leadership on major enterprise opportunities, shaping architectures, scopes of work, technical proposals, and executive presentations.

• Develop strong relationships with cloud ecosystem leaders and field teams to support joint go-to-market and co-selling opportunities.

• Identify expansion opportunities within existing accounts, connecting delivery insights to additional cloud, AI, modernization, and managed-service engagements.

• Oversee professional services performance, including utilization, gross margin, rate-card management, delivery risk, and broader operational metrics.

• Translate complex technical decisions into clear business outcomes for C-suite stakeholders and act as a trusted executive advisor.

Requirements

• 15+ years of experience leading complex technology programs, including at least 7 years in an engineering leadership role within professional services, systems integration, cloud consulting, or a comparable environment.

• Deep hands-on experience and architectural expertise with Google Cloud Platform, modern data platforms, enterprise AI, and generative or agentic AI implementations.

• Demonstrated ownership of professional services operations and financial performance, including revenue, utilization, gross margin, rate cards, and delivery risk.

• Proven experience working within hyperscaler partner ecosystems, including co-selling with cloud field organizations and leveraging partner programs or incentives.

• Direct experience building and leading distributed delivery organizations across onshore, nearshore, and offshore locations.

• Strong executive presence with the ability to advise CTOs, CIOs, CDOs, and other senior stakeholders and connect technical trade-offs to business objectives.

• Strong strategic, operational, and commercial judgment, with the ability to balance innovation, delivery quality, client outcomes, and financial performance.

• Excellent communication, relationship-building, negotiation, and presentation skills.

• Preferred: Previous leadership experience with Google Cloud, a major Google Cloud Partner, or an enterprise systems integrator.

• Preferred: Active Google Cloud certifications such as Professional Cloud Architect, Professional Data Engineer, or AI/ML Specialist.

• Preferred: Experience working with private-equity-backed organizations, including governance, reporting, and value-creation initiatives.

Benefits

• Executive-level opportunity with broad ownership across engineering strategy, global delivery, and go-to-market activities.

• Remote work environment with collaboration across North America, LATAM, and EMEA.

• Opportunity to work on complex enterprise cloud, data, AI, and agentic AI initiatives.

• Exposure to senior enterprise stakeholders and strategic cloud ecosystem relationships.

• Opportunity to influence proprietary technology assets, reusable frameworks, delivery standards, and technical innovation.

• Culture emphasizing technical expertise, candid communication, client trust, empathy, and practical problem-solving.

• High-growth environment offering significant scope to shape organizational scale, delivery capabilities, and market impact.

• The source job description does not specify a salary range or detailed employee benefits package.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.