Finance AI Analyst

• Ways of Working:
  Onsite - This job is fully onsite.
• Employee Type:
  Employee
• Min. Salary Region 1: 109700 USD
• Global Job Level (HCM):
  Professional 2 (7)
• Min. Salary Region 2: 93200 USD

It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive
. As a global leader in robotic-assisted surgery and minimally invasive care
, our technologies—like the da Vinci surgical system and Ion
—have transformed how care is delivered for millions of patients worldwide.

We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.

The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life.

If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare
, you’ll find your purpose here.

Primary Function of Position

The Finance AI Analyt will design and deploy AI/ML-driven analytics solutions within the Finance franchise of Enterprise Analytics. This role combines deep data engineering skills with hands‑on experience in AI/ML techniques applied to financial data, translating business requirements into intelligent, automated insights.

Roles and Responsibilities

• Design, build, and maintain AI/ML models and pipelines that support finance analytics use cases (forecasting, anomaly detection, classification, NLP on financial documents).
• Develop and optimize data models in Snowflake, leveraging Cortex or equivalent tool AI functions.
• Debug and troubleshoot complex data models across the Enterprise Data Warehouse (EDW) stack — trace data lineage, validate transformations, and resolve discrepancies at the model layer.
• Partner with Finance stakeholders to identify high‑impact AI opportunities and translate them into production‑grade solutions.
• Evaluate and integrate emerging AI tools (LLMs, generative AI, vector search) into the analytics ecosystem.
• Establish best practices for model monitoring, versioning, and governance.

Qualifications

Required Skills and Experience

• 2+ years of experience in data engineering, analytics engineering, or applied AI/ML roles.
• Strong SQL proficiency; hands‑on experience with Snowflake (Snowpark, Cortex AI, ML functions preferred).
• Experience building and deploying ML models (Python, or similar).
• Ability to debug end-to-end data flows in a Data Warehouse environment — identify breakpoints in staging, transformation, and presentation layers.
• Familiarity with finance data domains (GL, AP, AR, fixed assets, cost accounting) or SAP Finance.
• Experience with BI tools (Tableau preferred).
• Strong communication skills; ability to present AI concepts to non‑technical finance stakeholders.

Preferred Qualifications

• Experience with LLM-based applications, RAG architectures, or Snowflake Cortex Agents.
• Knowledge of finance portfolio management, FP&A, or treasury analytics.
• Familiarity with SDLC and CI/CD for data/ML pipelines.

Required Education and Training

• Bachelor's degree in finance, computer science, mathematics, information systems, or business.

Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.

Intuitive is an Equal Opportunity Employer.

We provide equal employment opportunities to all qualified applicants and…