IT AI & Analytics Manager - Engineering

About the role

TTI Anderson, which carries the RYOBI and Ridgid brands, is hiring an IT AI & Analytics Manager for its Engineering organization. The manager identifies, prioritizes and executes AI, analytics and technology-enabled initiatives across North American Outdoor and CPT Engineering to create measurable business value, working directly with Engineering leaders, IT leadership and functional stakeholders. The role combines engineering domain knowledge, technical curiosity, analytical problem solving and strong communication.

Key responsibilities

• Partner with Engineering leaders to identify, evaluate and execute AI and analytics opportunities aligned to functional goals and business outcomes.
• Manage the Engineering AI and analytics portfolio, including intake, prioritization, roadmaps, milestones, dependencies, status and expected value.
• Design, prototype, test, deploy or coordinate solutions using tools such as GitHub Copilot, Microsoft Copilot, Copilot Studio, generative AI, machine learning, engineering software, analytics platforms and automation.
• Apply AI, machine learning and analytics to use cases such as predictive testing, anomaly detection, technical knowledge retrieval, design and test data analysis, process automation and decision support.
• Translate business problems into technical requirements, define success criteria and communicate status, risks and demos to technical and non-technical audiences.
• Work with software owners and subject-matter experts to choose between configuration, integration, automation, AI augmentation or new development, and identify opportunities to reuse and scale solutions.
• Collaborate with IT, data engineering, cybersecurity, governance and other stakeholders so solutions are scalable, secure and aligned to enterprise standards.
• Track adoption, performance and costs, create business cases, and develop documentation and enablement resources.

Required profile

• Bachelor's degree in engineering, computer science, data science, information systems, analytics or a related technical discipline.
• Experience applying engineering, analytical, technical or process-improvement methods to complex business or operational challenges.
• Preferred: experience supporting product engineering, advanced engineering, laboratories, product testing, document control, software development or R&D.
• Preferred: experience applying AI, analytics, automation or software-development tools to improve engineering or technical processes.

Required skills

• Python and SQL via data platforms and analytics tools
• Familiarity with GitHub Copilot, Microsoft Copilot, Copilot Studio, generative AI, AI agents, machine learning, predictive analytics and prompt engineering