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

Medtronic•Fridley, MN

4d•$117,600 - $176,400•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 Principal AI & Digital Finance Transformation Engineer leads the design and delivery of AI-enabled analytics, reporting, and automation solutions that advance Finance transformation initiatives. This role combines technical leadership, data engineering, and finance domain expertise to develop scalable solutions that improve financial insights, optimize processes, and accelerate adoption of emerging digital technologies across the enterprise.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.