Senior Analytics Lead for GTM Finance & AI

Autodesk; United States; On-site; USD 132,000 - 236,000; Full time

Job summary

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

You will lead cross-functional initiatives across Finance, Sales, Data Engineering, and business operations, turning ambiguous problems into structured data products and practical AI solutions that enhance decision quality and efficiency.

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 8-10+ 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 influencing senior business partners and driving alignment 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 lead cross-functional initiatives and deliver results in a matrixed environment.

Responsibilities

• Lead end-to-end analytics and AI-enabled workflow initiatives, 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 ambiguous 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.
• Define and standardize KPI frameworks for financial metrics ensuring alignment across Finance and business teams.
• Design and scale 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.
• Establish 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 senior leadership through clear storytelling, executive-ready presentations, and concise written narratives.
• Mentor junior analysts and contribute to raising the overall analytical, technical, and AI-readiness capabilities of the Business Analytics team

Skills

Advanced SQL

BI & visualization

Stakeholder management

Executive communication

Cross-functional leadership

Education

Bachelor's degree in quantitative field

Tools

Power BI

Python

Job description

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

You will lead cross-functional initiatives across Finance, Sales, Data Engineering, and business operations, turning ambiguous problems into structured data products and practical AI solutions that enhance decision quality and efficiency.