AI Analytics Engineer, AVS Digital Transformation

Data Engineer

The GEHC Advanced Visualization Solutions (AVS) segment, a fast-growing business in GE HealthCare, is the global leader in ultrasound medical devices and solutions. The portfolio spans the continuum of care to enable customers with ultrasound screening, diagnosis, treatment and monitoring of diseases. Our customers are seeking to improve efficiency in radiology and beyond and increase user confidence to provide better clinical outcomes continues to grow. Consequently, the need for AI, digital solutions, and automation, connecting devices and software in one seamless ecosystem continues to proliferate. This person will design and build comprehensive data solutions that will power GE Healthcare's AVS segment's next generation of analytics and AI. In this hands-on role, you will design and build curated semantic layers, scalable pipelines, and enterprise-grade semantic models –whilst layering in AI-powered capabilities using approved platforms as the foundation matures.

No sponsorship or OPT for this role

As the Data Engineer of the AVS Digital Transformation team, you'll bridge enterprise data strategy with segment-specific innovation to deliver self-service analytics, conversational AI, predictive insights and intelligent automation within AVS.

1. Build an AI-Ready Data Foundation (40%)

• Design and implement curated, semantic data layers (dimensional models, business definitions), ensuring accuracy, traceability, and AI/ML readiness for BI and generative AI use cases.
• Design scalable SQL-based pipelines to transform raw and enterprise data into analytics-ready assets
• Implement data quality frameworks, lineage, and governance, according to standards set by the central data office team.

2. Elevate Analytics & Self-Service (35%)

• Lead enterprise-grade Power BI semantic model design (Dataflows, composite models, aggregations) to enable low-latency, high-performance reporting for executives and analysts.
• Integrate and extend enterprise semantic models with AVS-specific business logic and conformed dimensions, aligning definitions across the segment.
• Define best practices for DAX, M, and workspace governance (deployment pipelines, refresh strategies) within team to advance BI maturity and self-service
• Partner with visualization analysts and business leaders to translate requirements into trusted, performant models and reusable domain data products.

3. Drive AI & Advanced Analytics Adoption (25%)

• Design AI-ready semantic layers and metadata that enable natural-language querying, conversational analytics, automated retrieval and intelligent workflows
• Build and deploy AI solutions using enterprise-approved platforms. Implement operational forecasting, anomaly detection and segmentation.
• Engage central AI/ IT for evaluation, architecture guidance and enterprise deployment of AI use cases that exceed approved platform capabilities

Required Qualifications

• 8+ years in data architecture/engineering delivering dimensional models, curated marts, and production pipelines in cloud environments (e.g., AWS Redshift/S3/Glue, Microsoft Fabric/Azure, ADF or equivalent).
• Mastery of SQL, DAX, and Power Query (M); strong performance tuning and model optimization at scale.
• Deep Power BI experience: semantic modeling, composite models, aggregations, dataflows, and Fabric integration.
• Hands‑on with Copilot Studio, Fabric Data Agents, or AWS Bedrock.
• Familiarity with Power Apps / Power Automate for end‑to-end digital workflows.

Preferred

• Microsoft certifications: DP‑600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), PL‑300 (Power BI Data Analyst), AZ-900 (Azure AI), PL-400 (Power Platform Developer Associate)
• AI/ML integration: Python for data prep/modeling; designing data/semantics for NLQ, agentic systems, and platforms such as AWS Bedrock or Fabric ML.
• Experience partnering with centralized AI and data teams to produce models and agentic solutions.
• ERP/CRM data integration (e.g., Oracle EBS, Salesforce) and familiarity with enterprise data governance.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

For U.S. based positions only, the pay range for this position is $138,000.00-$207,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.