IT AI & Analytics Manager - Engineering

Job Summary

The IT AI & Analytics Manager - Engineering at TTI Techtronic Industries identifies, prioritizes, and executes AI, analytics, and technology-enabled initiatives across North American Outdoor and CPT Engineering to create measurable business value. This role partners directly with Engineering, IT leadership, and functional stakeholders.

Responsibilities

• Identifies, evaluates, and executes AI and analytics opportunities that align with functional goals and measurable business outcomes.
• Manages the Engineering AI and analytics portfolio, including intake, prioritization, roadmaps, delivery milestones, dependencies, execution status, and expected value.
• Designs, prototypes, tests, deploys, or coordinates solutions using appropriate tools, including GitHub Copilot, Microsoft Copilot, AI agents, engineering software, automation, analytics tools, machine learning, and custom development.
• Applies AI, machine learning, and analytics to engineering use cases such as predictive testing, anomaly detection, technical knowledge retrieval, design and test data analysis, process automation, and decision support.
• Translates business problems into clear technical requirements by gathering stakeholder input, documenting use cases, defining success criteria, and clarifying expected business value.
• Uses Python, SQL via various data platforms, analytics tools, or related technologies to access, transform, integrate, validate, and analyze data required for Engineering solutions.
• Pairs with Engineering software owners and subject-matter experts to understand existing platforms and determine whether opportunities should be addressed through current functionality, configuration, integration, automation, AI augmentation, or new development.
• Identifies opportunities to reuse and scale solutions across Outdoor and CPT Engineering, reducing duplicated effort and improving the return on technology investments.
• Collaborates with IT, data engineering, business optimization, Cybersecurity, governance, and functional stakeholders to ensure AI solutions are scalable, supportable, secure, and aligned to enterprise standards.
• Tracks solution adoption, performance, costs, and realized business value.
• Develops business cases that document expected benefits, implementation and ongoing costs, assumptions, affected users, success measures, risks, and ongoing support requirements.
• Communicates project status, risks, requirements, demos, adoption expectations, and business impact clearly to technical and non-technical audiences, including leadership when needed.
• Creates documentation and enablement resources needed to support solution adoption.
• Moves AI initiatives from idea generation through execution while balancing multiple priorities.
• Continuously evaluates developments in AI, analytics, software-development tools, and Engineering technologies and recommends practical applications based on organizational need and measurable value.

Skills

• Engineering & Technology Leadership
• Problem Solving & Prioritization
• Stakeholder Engagement & Communication
• Portfolio & Solution Delivery
• Technical Solution Development
• Business Value Creation
• Collaboration & Influence

Education and Experience

• Bachelor’s degree in engineering, computer science, data science, information systems, analytics, or a related technical discipline is required.
• Experience in applying engineering, analytical, technical, or process improvement methods to complex business or operational challenges is required.
• Experience supporting product engineering, advanced engineering, laboratories, product testing, document control, software development, research and development, or related technical functions is preferred.
• Experience applying AI, analytics, automation, software-development tools, or other technologies to improve engineering or technical processes is preferred.
• Familiarity with GitHub Copilot, Microsoft Copilot, Copilot Studio, generative AI, AI agents, machine learning, predictive analytics, prompt engineering, knowledge retrieval, optimization, or automation concepts is preferred.
• Familiarity with Power BI, including reports, dashboards, data models, measures, or related business intelligence concepts is preferred.
• Experience with Snowflake or comparable data platforms, semantic models, APIs, system integration, workflow automation, or modern software development practices is preferred.
• Experience taking technical initiatives from problem identification through requirements, prototype, testing, implementation, documentation, and adoption is preferred.
• Ability to partner directly with Engineering stakeholders, gather requirements, clarify needs, and convert business problems into practical technical solutions is preferred.
• Strong verbal and written communication skills with the ability to explain technical concepts and business value to Engineering, IT, and leadership audiences is preferred.
• Ability to work independently and as an integral part of a cross-functional team is preferred.