AI-Driven Finance Analytics Leader

Autodesk; Georgia; On-site; USD 140,000 - 230,000; Full time

Job summary

Autodesk is seeking a Business Analytics Manager to drive data-informed strategy across Go-to-Market Finance, building scalable analytics solutions and AI-enabled workflows for planning, forecasting and reporting.

You will own analytics workstreams across Finance, Sales, Data Engineering and business operations, translating problems into data products and practical AI solutions that improve decision quality and efficiency.

Qualifications

• Bachelor’s degree or higher in a quantitative field.
• 5-7+ years of experience in analytical fields such as consulting, strategic finance, BizOps, data science, business intelligence, data engineering.
• Advanced SQL skills with the ability to work with large, complex datasets and multiple data sources.
• Strong experience with BI and visualization tools such as Power BI, or similar platforms.
• Experience partnering with Finance, GTM, or business leadership teams to support planning, forecasting, reporting, and performance management.
• Demonstrated ability to structure ambiguous problems, perform deep analysis, and translate findings into clear business impact.
• Experience designing scalable dashboards, reporting solutions, data models, or analytics products that improve self‑service and reduce manual work.
• Strong stakeholder management skills, with experience partnering across cross‑functional teams.
• Excellent communication skills, with the ability to distill complex analysis, technical concepts, and business tradeoffs into clear, actionable recommendations.
• Proven ability to own workstreams within cross‑functional initiatives and deliver results in a matrixed environment.

Responsibilities

• Own analytics and AI-enabled workflow workstreams, from problem framing and stakeholder alignment to solution design, insight generation, adoption, and measurable business impact.
• Partner closely with Finance stakeholders to understand planning, forecasting and reporting workflows, and identify opportunities to improve them through data, automation, and AI.
• Translate Finance and business challenges into structured analytical frameworks, including data modeling, KPI design, forecasting, experimentation, and decision‑support workflows.
• Design and build scalable data products, including pipelines, tables, dashboards, reporting layers, and AI‑ready datasets that enable automated, flexible, and action‑oriented Finance analytics.
• Build and test prototypes for AI-enabled Finance workflows, such as automated business review narratives, anomaly detection, variance explanation, forecast drivers, natural‑language insight discovery, and self‑service reporting.
• Partner with Data Engineering, Finance Systems and central data teams to move prototypes into reliable, governed, production‑ready solutions.
• Contribute to defining and standardizing KPI frameworks for financial metrics ensuring alignment across Finance and business teams.
• Design dashboards, reporting solutions, and self‑service analytics experiences that improve adoption, reduce manual reporting, and help business partners make faster, more consistent decisions.
• Analyze business and financial metrics to uncover key drivers of growth, retention, churn, productivity, and efficiency, and recommend clear data‑backed actions.
• Contribute to scalable, repeatable analytics frameworks and best practices that improve Finance decision‑making and create consistency across planning, forecasting, reporting, and business reviews.
• Apply strong governance, quality control, and documentation practices to ensure AI-enabled workflows are accurate, explainable, secure, and appropriate for Finance decision support.
• Communicate insights, recommendations, and roadmap tradeoffs to stakeholders and leadership through clear storytelling, executive‑ready presentations, and concise written narratives.

Skills

SQL

Analytical thinking

Communication

Stakeholder management

Cross-functional collaboration

Dashboard design

Education

Bachelor’s degree in a quantitative field

Tools

Power BI

SQL

Python

Job description

Autodesk is seeking a Business Analytics Manager to drive data-informed strategy across Go-to-Market Finance, building scalable analytics solutions and AI-enabled workflows for planning, forecasting and reporting.

You will own analytics workstreams across Finance, Sales, Data Engineering and business operations, translating problems into data products and practical AI solutions that improve decision quality and efficiency.