This role pays less than
83%
of similar roles. Most pay
$158,475–$241,750
— the shaded band above.
At the midpoint, this role pays about
$147k
versus about
$200k
for comparable roles.
Based on 240 similar postings.
Employer
About Medtronic
Medtronic plc is the world's largest medical technology company by revenue, specializing in device-based therapies for over 70 health conditions.
Medtronic currently has
25 open roles
on FindRole.
Listed pay typically runs
$122,400–$183,600
across 25 roles with salary data.
The Prin AI & Digital Finance Transformation Engineer joins the AI & Digital Finance Transformation team to modernize financial processes through advanced analytics, artificial intelligence, and intelligent automation. This role involves leading the architecture, development, and deployment of AI-driven reporting and automation solutions while designing scalable data platforms for enterprise-wide use. The successful candidate will build tools to improve financial insights and optimize operations by leveraging machine learning, predictive analytics, and generative AI. Key technologies include Databricks, Snowflake, Microsoft Power BI, Python, SQL, Streamlit, and React. The role addresses the technical challenge of transforming complex finance workflows into automated systems while ensuring data governance and security. By integrating tools like Snowflake Cortex Agents and RAG frameworks, the engineer solves critical problems in financial forecasting, anomaly detection, and reporting efficiency across various corporate functions.
Lead the architecture, development, and deployment of AI-driven analytics and automation solutions for Finance.
Design scalable data platforms using machine learning, predictive analytics, and intelligent automation technologies.
Identify opportunities to transform finance processes through Generative AI, AI agents, and workflow automation.
Develop and influence technical solutions utilizing Databricks, Snowflake, and Microsoft Power BI.
Establish standards for data governance, security, and solution architecture across finance data environments.
Mentor technical and business teams on AI capabilities to drive organizational adoption.
Evaluate emerging technologies and resolve complex data and reporting issues for strategic initiatives.
What we're looking for
A Bachelor's degree with 10+ years of experience or an advanced degree with 8+ years of experience in Finance Systems, Data Analytics, IT, Finance, Accounting, or related fields is required.
Experience leading enterprise-scale AI, analytics, automation, or digital transformation initiatives is required.
Experience with cloud-based data platforms, analytics technologies, and modern data architectures is required.
Advanced SQL and Python development experience supporting data pipelines, analytics solutions, and automation workflows is required.
Experience supporting financial reporting, planning, forecasting, and finance operations processes is required.
Experience applying AI and machine learning to financial forecasting, anomaly detection, predictive analytics, or intelligent automation is preferred.
Experience with Snowflake Cortex Agents, AI agent frameworks, RAG, prompt engineering, and API integrations is preferred.
Work authorization at the time of hire and for the duration of employment.