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IT AI & Analytics Manager - Engineering

Job in Anderson, Anderson County, South Carolina, 29622, USA
Listing for: TTI Group
Full Time position
Listed on 2026-08-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 95000 - 135000 USD Yearly USD 95000.00 135000.00 YEAR
Job Description & How to Apply Below

Job Description:

Information Technology: AI & Analytics Manager
- Engineering ABOUT TTI

Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY), professional and industrial users in the home improvement, repair, maintenance, construction, and infrastructure industries. The Company is committed to accelerating the transformation of these industries through superior environmentally friendly cordless technology. At TTI Anderson, our brands RYOBI and Ridgid are recognized worldwide for their deep heritage and cordless product platforms of superior quality, outstanding performance, safety, productivity, and compelling innovation.

JOB

SUMMARY

The IT AI & Analytics Manager
- Engineering 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, as well as functional stakeholders across all subfunctions within Engineering departments. The position combines engineering domain knowledge, technical curiosity, analytical problem solving, portfolio discipline, and strong communication skills to improve engineering productivity, product-development processes, testing, technical knowledge access, decision making, and operational performance.

Solutions may leverage Git Hub Copilot, Microsoft Copilot, AI agents, engineering software, automation and analytics tools, machine learning, or other appropriate technologies based on business needs, technical feasibility, and expected value.

RESPONSIBILITIES / SKILLS

Partners directly with Engineering leaders and functional stakeholders to identify, evaluate, prioritize, and execute AI and analytics opportunities that align to functional goals and measurable business outcomes. Please note that this is a business facing role. 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 the tools most appropriate for the business problem, including but not limited to Git Hub Copilot, Microsoft Copilot, Copilot Studio, generative AI, machine learning, function specific engineering software, analytics platforms, automation, 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.

Partners 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. Creates 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. Develops the documentation and enablement…

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