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 reporting. The manager will own the business logic and key metrics for finance data, influencing policies and processes that impact management reporting, while also supporting various finance teams and adapting to changing business needs.

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 automated, flexible, scalable, and action-oriented reporting and analytics.
• Build and test prototype data products while collaborating with corporate data engineering teams to develop long-term solutions.
• Identify actionable insights to enhance 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 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 communication 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 and defining a product strategy to enable it.
• Domain experience in FP&A and/or sales, marketing, and customer success operations.

Benefits

• Diverse workplace and inclusive culture.
• Equal opportunity employer policies.