IA Collaborative

Engineering Manager

• As an Engineering Manager at IA Collaborative, you’ll help shape and scale the technology platform that drives transformative digital experiences for clients.
• Turn complex challenges into platform-level solutions, collaborating with vendor partners to build systems and tools that improve efficiency and deliver client success.
• Architect solutions, build pipelines, manage vendor relationships, and establish best practices.
• Apply the latest technologies to evolve our architecture, enhance products, and invent new ways to deliver client solutions that are fast, flexible, and grounded in user experience.
• Define and drive the technical vision and engineering strategy aligned with business objectives.
• Establish and enforce engineering standards, governance processes, and quality metrics.
• Manage development platform capabilities and initiate research spikes/platform level improvement efforts.
• Support platform architectural decisions and technical design reviews across product lines.
• Prioritize technical debt reduction and platform modernization initiatives.
• Manage and coordinate vendor engineering partners, ensuring technical cohesion and delivery excellence.
• Collaborate with vendor engineering teams in managing resource prioritization across projects and product support needs.
• Coordinate and assign incoming support tasks and tickets.
• Ensure the reliability and scalability of software delivery pipelines and disaster recovery systems.
• Manage product delivery infrastructure via CI/CD pipelines.
• Own team velocity, delivery metrics, and engineering productivity KPIs.
• Define engineering standards and practices for vendor integration and collaboration.
• Lead technical reviews and architecture discussions with vendor engineering leads.
• Establish and maintain technical documentation standards across all projects.
• Support the architecting of complex system components when deep expertise is needed.
• Develop monitoring architecture and implement monitoring agents, dashboards, escalations and alerts.
• Lead and empower engineering teams to drive 0-1 product development and AI experimentation.
• Collaborating across project teams and internal initiatives to define technical requirements and delivery timelines.