SBC SR DATA & AI SOLUTIONS ENG

Stanford Blood Center; Palo Alto (CA); On-site; USD 160,000 - 240,000; Full time

Job summary

Stanford Blood Center is seeking a Sr Data & AI Solutions Engineer to design AI/ML models and integrate them into operations to improve outcomes and optimize resources.

You will own end-to-end BI/ETL pipelines, EDW architecture, and robust analytics delivery, partnering with clinical and operational teams to drive data-driven decisions.

Qualifications

• Experience building and deploying ML/AI models with clinical/operational partners.
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• Ability to validate algorithms from researchers or vendors and deploy them.
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• Strong OO architecture and optimization skills for software/systems.
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• End-to-end BI lifecycle ownership including ETL design and EDW architecture.
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• Experience with analytics, forecasting and predictive modeling to optimize operations.
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Responsibilities

• Design AI/ML solutions and integrate into SBC operations to improve outcomes.
• Lead end-to-end ETL pipelines to unify data across databases and EDW.
• Enhance BI capabilities and monitor performance with proactive support.
• Communicate results to diverse stakeholders to drive engagement.
• Prototype and implement ML/AI deployments and monitor resource usage.

Skills

Machine Learning

AI Solutions

BI analytics

Forecasting

Communication

Education

Bachelor's Degree in engineering, computer science, data science or related field

4 years of experience with applied problems

Master's Degree preferred

Tools

Python (Django)

Java

HTML/CSS

LLMs

ETL (SSIS)

Power BI

Tableau

SSRS

SAP BusinessObjects

Oracle

MS SQL Server

Azure DevOps Server

Job description

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.

Responsibilities

The SBC Sr Data & AI Solutions Engineer designs Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) innovations and integrates into SBC operations to improve outcomes, drive resource optimization and help meet blood transfusion and transplantation requirements. This role also leads end-to-end Extract Transformations and Load (ETL) pipelines to unify data across databases, data marts, and the EDW; enhances BI capabilities to drive data-driven decisions, optimize blood production and testing workflows, and monitor performance with proactive support.

• Experience developing, evaluating, and implementing Machine Learning and Artificial Intelligence models while partnering with individuals across clinical and operational areas to deploy algorithms and solutions that can lead to better outcomes and optimization of resources while validating both researcher-built and vendor-provided algorithms or AI solutions
• Advanced OOP-based architecture and optimization for software and systems; proficient in Python (Django) and Java; HTML and CSS skills; experience with AI/ML deployment, including large language models (LLMs); proven performance tuning ability.
• End-to-end BI lifecycle ownership, including design, development, and deployment of BI solutions; BI tool administration; ETL design and development; EDW architecture; and delivery of robust reporting and analytics
• Extensive experience leveraging advanced analytics, forecasting, predictive modeling, and simulation to optimize operations; proven ability to communicate results to diverse stakeholders and management to drive engagement.
• Proficiency with BI and data visualization tools (i.e., Power BI, Tableau, SSRS, SAP BusinessObjects); SQL expertise in Oracle and MS SQL Server (Management Studio); SSIS; Azure DevOps Server; applying patches/upgrades; and monitoring hardware utilization for peak performance.

Qualifications

• Bachelor's Degree in engineering, computer science, data science or related field plus 4 years of experience with applied problems required
• Master's Degree in engineering, computer science, data science or related field preferred