> Markdown version of [/jobs/ext/3579266-prin-ai-digital-finance-transformation-engineer-on-site-minneapolis-mn](https://www.wearedevelopers.com/jobs/ext/3579266-prin-ai-digital-finance-transformation-engineer-on-site-minneapolis-mn). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Prin AI & Digital Finance Transformation Engineer - (On-site) - Minneapolis, MN - **Company:** Medtronic Inc. - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Salary:** $117,600.0 - $176,400.0 - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, ARM Architecture, Business Software, Data Architecture, Information Engineering, Data Governance, Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, SAP (Applications), Systems Integration, Enterprise Data Management, Cloud Platform System, Sql Optimization, ReactJS, Snowflake, Prompt Engineering, Generative AI, Agentic-AI, Information Technology, Data Analytics, Virtual Agents, Streamlit Framework, Data Pipelines, Databricks - **Published:** October 4, 2026 - **Apply:** https://www.minneapoliscareersite.com/job.asp?id=3418309051&tx=JP3731FFP&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree with 10+ years of experience OR advanced degree with 8+ years of experience in Finance Systems, Data Analytics, Information Technology, Finance, Accounting, or related digital transformation environments. * Experience leading enterprise-scale AI, analytics, automation, or digital transformation initiatives. * Experience with cloud-based data platforms, analytics technologies, and modern data architectures. * Advanced SQL and Python development experience supporting data pipelines, analytics solutions, and automation workflows. * Experience supporting financial reporting, planning, forecasting, and finance operations processes. Preferred Qualifications * Experience applying AI and machine learning to financial forecasting, anomaly detection, predictive analytics, natural language processing, or intelligent automation use cases. * Experience with Snowflake Cortex Agents, AI agent frameworks, Retrieval-Augmented Generation (RAG), prompt engineering, and application programming interface (API) integrations. * Experience with Microsoft Power BI, Streamlit, or enterprise reporting and visualization platforms. * Experience developing modern business applications using React and integrating enterprise data, APIs, and automation workflows. * Experience with enterprise resource planning (ERP) platforms including SAP, BlackLine, Redwood, or similar finance technologies, and experience supporting data governance or compliance programs. For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. ยง 214.2(h)(4)(iii)(A) is required. ## Description * Lead the architecture, development, and deployment of AI-driven analytics, reporting, and automation solutions for Finance. * Design scalable data and analytics platforms leveraging machine learning, predictive analytics, and intelligent automation technologies. * Identify opportunities to transform finance processes through Generative AI, AI agents, machine learning, and workflow automation. * Partner with Finance, Information Technology, Data Engineering, and business stakeholders to deliver integrated enterprise solutions. * Develop and influence solutions utilizing Databricks, Snowflake, Microsoft Power BI, and related cloud analytics technologies. * Establish standards for data governance, security, controls, and solution architecture across finance data environments. * Mentor technical and business teams on AI, analytics, and automation capabilities to drive adoption and capability development. * Evaluate emerging technologies, resolve complex data and reporting issues, and lead strategic digital finance initiatives.