AI & Digital Finance Transformation Engineer - (On-site) - Minneapolis, MN

Medtronic•Fridley, MN

3d•$73,600 - $110,400•Onsite

About The Position

The AI & Digital Finance Transformation team partners with Finance, Information Technology (IT), Data Engineering, and business stakeholders to modernize financial processes through advanced analytics, artificial intelligence (AI), intelligent automation, and cloud-based data platforms. The team develops scalable reporting, forecasting, automation, and decision-support solutions that improve visibility, strengthen financial decision-making, and enhance operational efficiency across the enterprise. At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. This position is based in Fridley, Minnesota and follows an onsite work arrangement. Travel up to 10% may be required to support business initiatives, stakeholder collaboration, and project execution. The AI & Digital Finance Transformation Engineer supports the design, development, and deployment of digital finance solutions that leverage cloud data platforms, analytics, automation, and AI technologies. This role collaborates with Finance, IT, Data Engineering, and business stakeholders to build data products, reporting solutions, and intelligent workflows that improve financial operations, reporting accuracy, and business insights.

Requirements

Bachelor's degree and 2+ years of experience in finance systems, data analytics, information technology, accounting, or finance technology solutions.
Experience with AI, machine learning, advanced analytics, and automation.
Experience with cloud-based data and analytics platforms.
Proficiency in SQL and Python for data transformation, analytics, reporting, or automation development.
Experience supporting financial reporting, planning, forecasting, or finance operations in a corporate environment.
Experience translating business requirements into scalable technology solutions.

Nice To Haves

Experience applying AI or machine learning to finance use cases including forecasting, anomaly detection, predictive analytics, natural language processing, or intelligent automation.
Experience with Snowflake, Databricks, semantic modeling, data governance, and performance optimization.
Experience with Power BI, Streamlit, or enterprise reporting and visualization platforms.
Experience with Retrieval-Augmented Generation (RAG), prompt engineering, AI agents, APIs, or modern AI development frameworks.
Experience supporting enterprise resource planning (ERP) or finance platforms such as SAP, BlackLine, or Redwood.
Understanding of data governance, security, controls, and compliance in a regulated enterprise environment.

Responsibilities

Drive finance transformation by delivering AI-powered analytics, reporting, and automation solutions that improve decision-making and operational efficiency.
Identify and implement opportunities to streamline finance processes using Generative AI, machine learning, intelligent automation, and agent-based workflows.
Build and support data pipelines, semantic models, dashboards, and reporting solutions using Databricks, Snowflake, PowerBI, and related technologies.
Translate complex finance and business requirements into sustainable technology solutions that enable growth and scalability.
Ensure reliability of finance data and automation platforms through proactive monitoring, troubleshooting, and continuous optimization.
Strengthen data governance, security, and controls while promoting adoption of digital finance tools and best practices.