Head of Software Engineering - The Fedcap Group

Position Summary

The Head of Software Engineering serves as the enterprise leader for application engineering strategy, systems integration architecture, DevOps execution, automation, and AI-enabled solution development across The Fedcap Group .

This role advances and scales an established engineering function to ensure enterprise-developed applications, integrations, and intelligent automation capabilities are secure, scalable, innovative, compliant, and aligned with enterprise architecture and governance standards across a geographically distributed organization.

As the organization continues to expand across regions and service lines, the Head of Software Engineering will accelerate modernization, reduce technical fragmentation, embed AI-driven capabilities into enterprise workflows, and position engineering as a strategic driver of operational excellence and innovation.

Reporting to the SVP, Enterprise Systems & Digital Platforms, this leader partners closely with IT Infrastructure & Operations, Security, Data & Analytics, and operating leadership to ensure engineering practices are standardized, performance-driven, resilient, financially disciplined, and aligned with enterprise governance requirements.

Mission

To deliver secure, scalable, intelligent, and cost-effective enterprise applications that strengthen mission delivery, enable automation and data-driven decision-making, reduce system fragmentation, and support sustainable organizational growth.

Scope of Accountability

The Head of Software Engineering is accountable for:

• Enterprise software development standards and advanced SDLC governance • Application architecture patterns and approved engineering frameworks • API and enterprise integration architecture standards • DevOps pipelines, release automation, and engineering productivity optimization • Application performance monitoring and operational observability standards • Technical debt prioritization and modernization acceleration • Automation platforms (RPA, workflow engines, low-code governance) • AI-enabled application capabilities embedded within enterprise systems • Intelligent workflow and decision-support integration in collaboration with Data & Analytics • Engineering documentation and configuration discipline • Secure coding practices and vulnerability remediation coordination • Application lifecycle management and decommissioning governance • Engineering vendor lifecycle management • Engineering budget management and cost discipline • Build-versus-buy analysis and financial justification of custom development initiatives • Engineering capacity planning, delivery forecasting, and productivity optimization • Application components of acquisition integration and enterprise platform consolidation • Implementation of security control requirements • Leadership of distributed onshore, nearshore, and offshore engineerin