Director, IT

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

We're looking for a forward-thinking Director of AAD Engineering to lead and scale our efforts across AI, Data, and Automation. This is a strategic leadership role passionate about building impactful AI solutions, growing our enterprise data capabilities, and driving automation-while elevating engineering standards and innovation across the board.

How will you make an impact:

• Serve as a leader with a point of view in crafting the AAD engineering strategy and lead its execution through the design and delivery of scalable, high-impact solutions across AI, Data, and Automation.
• Lead the development of AI solutions-from experimentation to deployment-that enhance automation, improve decision-making, and align with business priorities to deliver tangible value.
• Enhance and scale existing data engineering capabilities to power robust, reliable, and well-governed pipelines and solutions- enabling advanced analytics, AI applications, operational intelligence, and enterprise-wide data utilization
• Drive automation efforts by identifying and implementing solutions that optimize workflows, reduce manual effort, and improve reliability across engineering and business operations.
• Engage effectively with internal customers, translating complex business needs into scalable, practical engineering solutions-and making it easier for teams to collaborate and drive shared outcomes.
• Provide end-to-end ownership of engineering delivery, from architectural design through development and deployment, ensuring alignment with business priorities and technical standards.
• Champion strong multi-functional collaboration across product, architecture, operations, and business teams to shape cohesive solutions, align on priorities, and deliver measurable impact.
• Act as a forward-looking technology leader, introducing the latest engineering practices, evaluating emerging tools and platforms, and helping shape long-term technical direction.
• Set the standard for engineering excellence by promoting clean architecture, performance optimization, system scalability, and operational reliability as core practices.
• Build and lead a strong engineering team with a focus on innovation, collaboration, and continuous learning. Encourage cross-skilling across AI, Automation, and Data Engineering to deliver end-to-end solutions as one unified AAD team

How will you get here:

Education

Bachelors' degree in computer science or related field preferred

Experience:

• Proven experience in leading IT engineering teams with a focus on AI, Data, and Automation.
• Demonstrated ability to develop and implement high-impact AI solutions.
• Strong expertise in data engineering and building reliable data pipelines.
• Experience in driving automation initiatives to optimize workflows.
• Ability to translate complex business needs into practical engineering solutions.
• Strong leadership skills with the ability to foster cross-functional collaboration.
• Experience in driving engineering best practices, including clean architecture, performance tuning, scalability, and operational excellence.
• Passion for team development, with a track record of mentoring, coaching, and building diverse, high-performing, and cross-skilled teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

We're looking for a forward-thinking Director of AAD Engineering to lead and scale our efforts across AI, Data, and Automation. This is a strategic leadership role passionate about building impactful AI solutions, growing our enterprise data capabilities, and driving automation-while elevating engineering standards and innovation across the board.

How will you make an impact:

• Serve as a leader with a point of view in crafting the AAD engineering strategy and lead its execution through the design and delivery of scalable, high-impact solutions across AI, Data, and Automation.
• Lead the development of AI solutions-from experimentation to deployment-that enhance automation, improve decision-making, and align with business priorities to deliver tangible value.
• Enhance and scale existing data engineering capabilities to power robust, reliable, and well-governed pipelines and solutions- enabling advanced analytics, AI applications, operational intelligence, and enterprise-wide data utilization
• Drive automation efforts by identifying and implementing solutions that optimize workflows, reduce manual effort, and improve reliability across engineering and business operations.
• Engage effectively with internal customers, translating complex business needs into scalable, practical engineering solutions-and making it easier for teams to collaborate and drive shared outcomes.
• Provide end-to-end ownership of engineering delivery, from architectural design through development and deployment, ensuring alignment with business priorities and technical standards.
• Champion strong multi-functional collaboration across product, architecture, operations, and business teams to shape cohesive solutions, align on priorities, and deliver measurable impact.
• Act as a forward-looking technology leader, introducing the latest engineering practices, evaluating emerging tools and platforms, and helping shape long-term technical direction.
• Set the standard for engineering excellence by promoting clean architecture, performance optimization, system scalability, and operational reliability as core practices.
• Build and lead a strong engineering team with a focus on innovation, collaboration, and continuous learning. Encourage cross-skilling across AI, Automation, and Data Engineering to deliver end-to-end solutions as one unified AAD team

How will you get here:

Education

Bachelors' degree in computer science or related field preferred

Experience:

• Proven experience in leading IT engineering teams with a focus on AI, Data, and Automation.
• Demonstrated ability to develop and implement high-impact AI solutions.
• Strong expertise in data engineering and building reliable data pipelines.
• Experience in driving automation initiatives to optimize workflows.
• Ability to translate complex business needs into practical engineering solutions.
• Strong leadership skills with the ability to foster cross-functional collaboration.
• Experience in driving engineering best practices, including clean architecture, performance tuning, scalability, and operational excellence.
• Passion for team development, with a track record of mentoring, coaching, and building diverse, high-performing, and cross-skilled teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.