Head of Corporate Products Engineering Services
Jobgether
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What engineering roles keep asking for: Python (22%), AWS (21%), Observability (14%), System design (13%), CI/CD (12%) — counted across their open postings here.
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- Why do you want to join Jobgether?
- What is your experience with CI/CD? Tell me one thing you learned the hard way.
- How do you decide what to test, and what does good code review look like to you?
- Describe a time a deadline forced a trade-off in quality. What did you choose and why?
- How would you design an API for a feature you have worked on?
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Practise the Head of Corporate Products Engineering Services at Jobgether interview free →Accountabilities: You will lead engineering strategy and execution across the Corporate Products portfolio, ensuring that architecture, delivery practices, technology investments, and operational standards support the organization's evolving needs. You will manage engineering teams and external partners while maintaining a strong focus on security, reliability, and business alignment. Define and execute the engineering strategy and roadmap for the Corporate Products portfolio, aligning technology priorities with business objectives. Lead engineering teams and Solution Architects, overseeing talent development, workforce planning, and organizational capability building. Own end-to-end solution architecture, design decisions, implementation planning, and production readiness. Lead Oracle Fusion as a foundational enterprise platform, alongside broader enterprise SaaS, cloud, and custom-application engineering initiatives. Direct integration architecture and engineering, including APIs, event-driven architectures, identity management, and enterprise data-flow patterns. Establish and maintain engineering standards covering the software development lifecycle (SDLC), DevSecOps, CI/CD, automated testing, observability, and reliability. Oversee application environments and ensure solutions meet operational, security, and production-readiness requirements before release. Manage technical risks, technical debt, application lifecycle decisions, and ongoing platform improvements. Drive the adoption of AI-assisted engineering, generative AI, and agentic AI solutions across the engineering organization. Establish governance frameworks for AI security, privacy, monitoring, evaluation, and responsible use. Manage relationships and performance across technology vendors, systems integrators, and strategic partners. Develop engineering roadmaps, investment recommendations, and budget plans, ensuring effective stewardship of technology resources. Advise senior business stakeholders on technical risks, architectural decisions, investment priorities, and implementation trade-offs. Communicate complex technical topics clearly to leaders across HR, Finance, Legal, and Communications / Corporate Affairs. Requirements The ideal candidate brings extensive experience in enterprise technology and software engineering leadership, with a strong background in architecture, enterprise platforms, and complex solution delivery. You should combine strategic business judgment with sufficient technical depth to guide engineering teams, evaluate technology investments, and deliver secure, reliable solutions at scale. Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline, or equivalent professional experience. At least 12 years of progressive experience in technology and software engineering. Demonstrated leadership of enterprise engineering, platform, or Solution Architecture teams, including experience managing global teams. Proven ability to deliver complex enterprise technology solutions, with accountability spanning initial design through production operations. Strong experience with Oracle Fusion, ideally across HCM, ERP / Financials, or both, alongside broader enterprise platform expertise. Experience advising senior business leaders and translating technical risks, trade-offs, and investment requirements into clear business recommendations. Strong knowledge of enterprise SaaS platforms, cloud technologies, enterprise application engineering, and systems integration. Experience with APIs, event-driven architectures, identity and access management, and enterprise integration patterns. Practical knowledge of secure software development, DevSecOps, CI/CD, automated testing, environment management, observability, and reliability engineering. Experience implementing or overseeing generative AI, agentic AI, and AI-assisted engineering solutions. Understanding of AI security, privacy, governance, evaluation, and monitoring practices. Experience supporting corporate functions such as HR, Finance, Legal, and Communications. Proven ability to manage systems integrators, technology vendors, and external service providers. Experience developing technology roadmaps, evaluating investment priorities, and managing engineering budgets. Strong communication, stakeholder management, and decision-making skills, with the ability to influence technical and non-technical audiences. Preferred Qualifications Professional certifications in Oracle, cloud technologies, enterprise architecture, cybersecurity, AI/ML, or software engineering are advantageous. Demonstrated results and sound technical judgment are valued more highly than certifications. Experience with Six Sigma, Lean, or other process-improvement methodologies is beneficial but not required. Benefits and Work Location Remote work arrangement within the United States.
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Listed on lever · posted 2026-11-12. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.