Senior Business Architecture Manager, Data Analytics

Autodesk - Tallahassee, FL

Full-time

Tallahassee, FL

Publishing Industries

About the position

The Senior Business Architecture Manager for Data Analytics at Autodesk will lead the transformation of business insights, forecasting, planning, and performance management processes within the Go-to-Market Finance organization. This role focuses on simplifying workflows and leveraging the latest technologies to deliver high-quality data products that enhance decision-making and strategic planning. The manager will collaborate with various finance teams to ensure that data products meet their needs and will play a crucial role in influencing policies and processes that affect finance data and reporting.

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.