Director, Engineering, Data, and AI

Are you ready to shape the future of IT? Join Integris, where integrity meets innovation, and people come first.

At Integris, we don’t just offer jobs, we offer purpose. As a nationally recognized Best Places to Work and a leader in future-ready managed services, we’re redefining how businesses experience IT. Our mission is bold: to empower clients and employees alike through secure, strategic, and scalable technology solutions.

We’re looking for talent that thrives in a culture of clarity, trust, and relentless execution, individuals who believe that IT is not just support, but a strategic advantage. If you’re passionate about innovation, driven by impact, and ready to grow with a company that puts People First, you’ll find your place here.

Job Summary:

The Director, Engineering, Data, and AI leads the day-to-day management and execution of the companies Software Engineering, Business Intelligence, AI Solutions, and Research & Development functions. Working closely with the CTO and business stakeholders, this role translates strategic objectives into actionable plans, ensures successful project delivery, and drives operational excellence across the team.

The Director is responsible for managing priorities, developing team capabilities, improving processes, and ensuring high-quality outcomes for both internal initiatives and client-facing engagements. Success in this role is measured through effective delivery, team performance, customer satisfaction, and operational improvements.

Job Responsibilities:

Department Leadership & Delivery

• Translate organizational priorities into departmental plans, initiatives, and deliverables.
• Coordinate activities across engineering, BI, AI, and innovation teams to achieve business objectives.
• Identify and resolve operational challenges that impact delivery or team performance.
• Provide recommendations to the CTO regarding priorities, risks, resourcing, and process improvements.
• Support organizational change initiatives and drive adoption within assigned teams.

Portfolio Governance & Reporting

• Manage delivery across internal initiatives, client engagements, support activities, and R&D projects in alignment with CTO-approved priorities.
• Track milestones, costs, dependencies, risks, and outcomes through clear dashboards and regular delivery reviews.
• Support workforce planning and budget management by forecasting resource needs and monitoring expenditures against approved budgets.
• Ensure consistent quality, security, documentation, release practices, and operational handoffs across all four functions.
• Focus R&D on approved priorities and transition successful experiments into supported internal solutions or viable client offerings.

Internal Initiative Delivery

• Deliver internal improvements in productivity, service quality, data insight, and scalability against agreed scope, timing, and budget.
• Work with business sponsors to define acceptance criteria, drive adoption, and validate benefits after implementation.

Paid Client Delivery & Commercial Performance

• Partner with sales, consultants, and project managers to support accurate estimating, staffing, and delivery.
• Monitor utilization, project health, customer satisfaction, and operational metrics.
• Identify opportunities to improve efficiency, quality, and profitability.

People Leadership & Accountability

• Lead, develop, and coach managers, team leads, and technical professionals.
• Establish clear goals, performance expectations, and development plans.
• Partner with HR and senior leadership to address performance concerns and succession planning. Support hiring, workforce planning, and employee engagement initiatives.

Job Qualifications

Education/Certification Requirements:

• Bachelor’s degree in information technology, computer science, business, or a related field, or equivalent professional experience.

Experience Requirements:

• Leadership: experience leading technical teams, managers, and cross-functional initiatives within software engineering, data, analytics, or AI environments. Demonstrated success delivering projects, improving operational performance, and developing high-performing teams.
• Managed services: experience in managed IT or comparable technology services, including service delivery, support, customer expectations, escalations, and continual improvement.
• BI and data: experience overseeing re…