Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Accounting, Finance, Business, or equivalent practical experience.

• 5 years of experience architecting and building Financial data and reporting platforms in SQL, Python, and SAP business intelligence platforms.

• Experience in developing financial models and reports within the SAP environment leveraging SAC or SAP Business Planning and Consolidation (BPC).

• Experience planning AI/ML initiatives and with Finance processes and impacts.

Preferred qualifications:

• Master's degree in Finance, Business Analytics, Data Science, or equivalent practical experience.

• Experience designing and implementing data extractors and pipelines, data models and calculations, intuitive front-end business intelligence reports, and dashboards.

• Experience influencing executive leadership and driving change/decisions.

• Ability to shift between business-focused conversations with a financial leader to a technology-focused conversation with a technology/engineering team.

The Finance Business Process Re-Engineering (FinBPR) team is responsible for providing thought leadership, best practices, and expertise for business-led transformation initiatives supporting process improvement and automation. The team of architects is responsible for envisioning better processes, building them, reliably operating them, and then continually improving upon them.

As a FinBPR team member, you will be responsible for supporting programs that impact the Finance teams. You will be responsible for identifying opportunities for process improvement, establishing and reporting AI/ML strategies to solve business problems across Finance function. You will also be responsible to support business teams to build business transformation roadmaps leveraging Reporting and AI solutions.

• Develop relationships with Finance, Engineering, and other cross-functional partners to develop the AI enabled process transformation roadmap.

• Drive key process, and systems design decisions among both business and functional stakeholders by partnering with business leaders, as well as functional and technology leaders.

• Identify areas of improvements and automation leveraging various third-party business intelligence, data, reporting, AI/ML, and SAP solutions.

• Translate, communicate, and work in partnership with Engineering organizations on how to deliver on requirements, in terms of process, data, and technology.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.