Senior Business Architecture Manager, Data Analytics

Autodesk - San Francisco, CA

Full-time - Senior

San Francisco, CA

Publishing Industries

About the position

The Senior Business Architecture Manager will lead the transformation of business insights, forecasting, planning, and performance management processes within the Go-to-Market Finance organization at Autodesk. This role focuses on simplifying workflows, leveraging advanced technologies, and delivering high-quality data products to enhance decision-making and strategic planning. The manager will own the business logic and key metrics for finance data, influencing policies and processes that impact management reporting and overall business strategy.

Responsibilities

• Serve as the subject matter expert for COO Finance upstream systems, policies, and processes
• Partner with GTM finance teams to understand their planning, forecasting, reporting, and performance management needs
• Reimagine processes, data structures, and dashboards for simplicity, agility, and adaptability to keep up with GTM innovation
• Own the delivery of end-to-end data products (pipelines, tables, and dashboards) to enable reporting and analytics that are automated, flexible, scalable, and action-oriented
• Build and test prototype data products while partnering with corporate data engineering teams to build long-term solutions
• Identify actionable insights that can target and improve Autodesk's go-to-market efforts and inform the development of new products, key metrics, and business models
• Integrate efforts into company-wide forecasting and planning processes and into the broader Business Architecture-led buildout of GTM Finance data
• Adapt state-of-the-art analytical and predictive tools for use in forecasting and planning processes.

Requirements

• Bachelor's degree or higher in a quantitative field
• Minimum of 8 years' experience in analytical fields such as consulting, strategic finance, BizOps, data science, business intelligence, data engineering, and/or IB/VC/PE
• Experience with SQL and large datasets
• Experience with data visualization tools such as Power BI, Tableau, Looker, etc.
• Experience with product management frameworks and process design
• Strong abilities in project management, change management, and cross-functional influence
• Excellent written, verbal, and interpersonal skills.

Nice-to-haves

• Experience with scripting languages such as Python or Javascript
• Experience building and deploying predictive models to forecast key metrics
• Experience designing an optimal decision support process, defining a product strategy to enable it, translating into a roadmap, and enabling it through technology
• Domain experience in FP&A and/or sales, marketing, and customer success operations.

Benefits

• Diversity and inclusion initiatives
• Equal opportunity employment policies