AI and Reporting Process Architect, Business Process Re-Engineering
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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.
About the job
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.
Responsibilities
- 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.
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