AI Finance Lead: Data-Driven Forecasting & Automation

Techtronic Industries - TTI

Town of Texas (WI)

On-site

USD 120,000 - 155,000

Full time

14 days+

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Job summary

Techtronic Industries (TTI) is seeking an Information Technology: AI Manager - Finance to identify, prioritize, and deliver AI initiatives across finance functions. You will partner with Finance leadership to define requirements, maintain a finance AI roadmap, and deliver AI agents, chatbots, and automation to improve month-end close and reporting.

The role requires Finance domain expertise, SQL proficiency, and strong communication to translate business needs into scalable AI-enabled solutions

Qualifications

Bachelor’s degree in finance, accounting, information systems, data analytics, or related discipline is required.
Experience supporting finance, accounting, FP&A, financial reporting, controllership, shared services, treasury, or related financial functions.
Strong understanding of month-end close, financial reporting, budgeting, forecasting, variance analysis, P&L concepts, balance sheet concepts, cash flow, and financial controls.
Experience performing financial analysis, reporting improvement, automation, digital transformation, AI, analytics, or business process improvement.
Familiarity with SQL and the ability to write, troubleshoot, or learn queries used for reporting, analytics, data validation, and data preparation.
Familiarity with AI reports, dashboards, data models, measures, or related BI concepts.
Ability to partner directly with Finance stakeholders, gather requirements, clarify needs, and convert business problems into practical technical solutions.

Responsibilities

Identify, evaluate, prioritize, and execute AI opportunities that align to finance goals and measurable outcomes.
Develop, maintain, and manage the Finance AI roadmap with milestones and value assumptions.
Design and deploy AI-enabled solutions such as AI agents, chatbots, reporting tools, automation, and dashboards.
Translate business problems into technical requirements and define success criteria.
Access and prepare data using SQL for AI analytics, reporting, and forecasting.
Build AI reports, dashboards, semantic models, and analytics outputs for performance monitoring.
Collaborate with IT, data engineering, governance, and stakeholders to ensure scalable, secure AI solutions.
Track intake and execution of AI opportunities and report on adoption and value realization.
Create training materials and user guides for AI-enabled tools and processes.
Work independently and in cross-functional teams to advance AI initiatives.