Senior IT Manager - AI Innovation & Engineering

Accountabilities: Lead and develop multiple AI engineering and innovation teams, fostering collaboration, accountability, technical excellence, and continuous improvement.

Translate enterprise AI strategies into actionable technology roadmaps, delivery plans, and engineering priorities aligned with business objectives.

Oversee the design, development, deployment, and scaling of AI-powered products and solutions using modern cloud technologies.

Provide technical leadership across software architecture, engineering practices, security, testing, performance optimization, and operational reliability.

Partner with product, data science, platform engineering, architecture, and business stakeholders to deliver innovative AI solutions that address real-world needs.

Build, mentor, and retain high-performing engineering teams through effective hiring, coaching, career development, and leadership practices.

Manage delivery execution from concept through production, ensuring initiatives meet quality standards, timelines, scalability requirements, and business goals.

Drive improvements in Agile delivery practices, engineering standards, DevSecOps processes, and software development workflows.

Manage budgets, vendor relationships, project priorities, and team capacity to support successful execution of strategic initiatives.

Monitor solution performance, risks, dependencies, and operational health while ensuring long-term sustainability of AI capabilities.

Communicate progress, outcomes, recommendations, and strategic opportunities to senior leaders and business partners.

Stay current with emerging AI technologies and industry trends to influence future innovation strategies.

Requirements:

Bachelor’s degree in Information Technology, Computer Science, or a related field, or equivalent professional experience.

8–10+ years of experience delivering AI, software engineering, or technology innovation initiatives, including significant experience leading technical teams.

Proven experience managing engineering organizations, including managers or squad leads, with responsibility for performance management, mentoring, and team development.

Strong hands-on technical background in software engineering, including Java and/or Python development, service architecture, integrations, and modern application design patterns.

Experience designing and building scalable software solutions using cloud platforms, particularly Google Cloud Platform (GCP).

Strong understanding of DevSecOps practices, CI/CD pipelines, automation, and modern software delivery methodologies.

Experience leading cross-functional teams involving software engineers, architects, data scientists, and quality engineering professionals.

Knowledge of operational monitoring, telemetry, dashboards, alerting systems, and application performance management tools.

Experience applying process improvement methodologies, data-driven measurement, and workflow optimization practices.

Strong leadership, communication, presentation, and relationship-building skills with the ability to influence across technical and business stakeholders.

Ability to balance strategic thinking with hands-on technical guidance in a fast-moving innovation environment.

Benefits:

Competitive compensation with an estimated monthly salary range of $9,458.97 – $16,551.03 , depending on location, experience, and qualifications.

Bonus or incentive plan eligibility.

Remote work flexibility within the United States, with hybrid options available in select locations.

Comprehensive medical, dental, and vision coverage.

401(k) retirement plan with company matching contributions.

Paid time off and life insurance benefits.

Paid parental leave and family-building support programs.

Mental health resources and wellness benefits.

Associate discounts and community involvement opportunities.

Inclusive benefits designed to support diverse personal, family, and financial needs.

Opportunities to lead impactful AI initiatives and grow within a technology-focused organization.

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!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1