Senior Analytics Leader - AI-Driven Finance & GTM Insights

Autodesk; New York (NY); On-site; USD 132,000 - 236,000; Full time

Job summary

Autodesk seeks a Senior Business Analytics Manager to steer data-informed Go-to-Market finance strategy, build scalable analytics and AI-enabled workflows for planning, forecasting, and reporting in the United States. You will lead cross-functional initiatives across Finance, Sales, and Data Engineering, translating complex problems into scalable data products and practical AI-powered solutions.

The role blends strategic and hands-on work: partnering with senior stakeholders, querying data,

Qualifications

• Bachelor's degree or higher in a quantitative field.
• 8–10+ years in analytics (consulting, strategic finance, BizOps, data science, BI, 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.
• 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

Power BI

Stakeholder management

Communication skills

Cross-functional collaboration

Problem structuring

Education

Bachelor's degree or higher in quantitative field

Tools

Python

Job description

Autodesk seeks a Senior Business Analytics Manager to steer data-informed Go-to-Market finance strategy, build scalable analytics and AI-enabled workflows for planning, forecasting, and reporting in the United States. You will lead cross-functional initiatives across Finance, Sales, and Data Engineering, translating complex problems into scalable data products and practical AI-powered solutions.

The role blends strategic and hands-on work: partnering with senior stakeholders, querying data,