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Ge Enterprise Solutions Jobs (NOW HIRING)

GE Healthcare

Director of Engineering, Architecture

Waukesha, WI · On-site

$164K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary GE HealthCare is seeking a Director of Engineering, Architecture to lead the architecture ... This role is responsible for defining enterprise architecture, driving platform modernization, and ...

GE HealthCare

Director of Engineering, Architecture

Waukesha, WI · On-site

$164K - $246K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary GE HealthCare is seeking a Director of Engineering, Architecture to lead the architecture ... This role is responsible for defining enterprise architecture, driving platform modernization, and ...

JMP Solutions - Canada

Solutions Architect

Exton, PA · On-site

$120 - $150/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... (ERP, MES, SCADA, historian). * Advanced experience designing solutions on the major industrial software platforms -- Rockwell, Siemens, Aveva/Wonderware, and GE -- with the ability to make pragmatic ...

GE HealthCare

Content Creator

$76K - $114K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Summary GE HealthCare Advanced Imaging Solutions (AIS) portfolio is transforming healthcare through ... Demonstrated experience leading enterprise-level creative campaigns. * Exceptional storytelling ...

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Ge Enterprise Solutions information

See salary details

$45K

$115.3K

$172.5K

How much do ge enterprise solutions jobs pay per year?

As of Aug 18, 2026, the average yearly pay for ge enterprise solutions in the United States is $115,331.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $135,500.00 per year, depending on experience, location, and employer.

What is GE Enterprise Solutions?

GE Enterprise Solutions refers to a division or set of business offerings from General Electric (GE) focused on providing integrated technology, software, and service solutions to improve operational efficiency for enterprises. These solutions typically encompass areas such as industrial automation, energy management, digital transformation, and asset optimization. GE Enterprise Solutions work across various industries, including manufacturing, healthcare, energy, and transportation, helping organizations harness data and advanced technologies to drive productivity and innovation.

What are the key skills and qualifications needed to thrive as a GE Enterprise Solutions specialist?

To thrive as a GE Enterprise Solutions specialist, you need a strong background in business process analysis, IT systems integration, and industry-specific knowledge, often supported by a relevant degree in engineering, IT, or business. Familiarity with GE Digital software platforms (such as Predix), ERP systems, and certifications in project management or cloud technologies are typically required. Strong problem-solving, communication, and project management skills help you collaborate effectively with cross-functional teams and clients. These skills are crucial for delivering tailored enterprise solutions that drive operational efficiency and support business objectives.

What are the typical career growth opportunities for professionals working at GE Enterprise Solutions?

At GE Enterprise Solutions, employees often benefit from well-defined career paths, with opportunities to advance into leadership, project management, or specialized technical roles. The company encourages continuous learning and professional development through internal training programs, mentorship, and cross-functional projects. Team members frequently collaborate with diverse groups across engineering, sales, and operations, which helps broaden their expertise and networks. This collaborative environment supports both vertical and lateral movement within the organization, allowing professionals to tailor their career growth according to their strengths and interests.

What is the difference between Ge Enterprise Solutions vs Ge Network Engineer?

AspectGe Enterprise SolutionsGe Network Engineer
Required CertificationsIT certifications, project managementNetworking certifications (CCNA, CCNP)
Work EnvironmentCorporate, enterprise IT settingsNetwork operations centers, technical support
Industry UsageTechnology, manufacturing, energyTelecommunications, IT services

Ge Enterprise Solutions typically involves managing large-scale IT projects and solutions within enterprise environments, requiring project management skills and broad IT knowledge. Ge Network Engineer focuses on designing, implementing, and maintaining network infrastructure, requiring specialized networking certifications. While both roles operate within the tech industry, Ge Enterprise Solutions has a broader scope, whereas Ge Network Engineer specializes in network systems.

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What job categories do people searching Ge Enterprise Solutions jobs look for?

The top searched job categories for Ge Enterprise Solutions jobs are:

Ge Enterprise Solutions jobs near you
Infographic showing various Ge Enterprise Solutions job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $115,331 per year, or $55.4 per hour.

Senior Principal Enterprise Data Architect, AI Data Transformation

GE Appliances

Louisville, KY • On-site

Other

Re-posted 5 days ago

Job description

At GE Appliances, a Haier company, we come together to make "good things, for life." As the fastest-growing appliance company in the U.S., we're powered by creators, thinkers and makers who believe that anything is possible and that there's always a better way. We believe in the power of our people and in giving them the freedom to explore, discover and build good things, together.
The GE Appliances philosophy, backed by three simple commitments defines the way we work, invent, create, do business, and serve our communities: we come together, we always look for a better way, and we create possibilities.
Interested in joining us on our journey?
The Senior Principal Enterprise Data Architect - AI Data Transformation will serve as a strategic partner and governance leader within the Enterprise Architecture (EA) team of our global enterprise. This role combines advanced enterprise data architecture discipline with deep expertise in Artificial Intelligence infrastructure and Data Science enablement to plan, design, deploy, and execute technology solutions aligned to the organization's strategic roadmap.
The incumbent will be instrumental in operationalizing complex initiatives by significantly enhancing, evolving, and optimizing the enterprise data layer to make every data asset-across our global operations, supply chain, customer touchpoints, and connected products-AI-ready, AI-consumable, and AI-trustworthy. This role will champion EA and AI data governance frameworks, drive Hoshin goal attainment, and serve as a key liaison between IT, business operations, product engineering, data science teams, and the EA team to ensure technology investments are aligned to enterprise standards and strategic AI objectives.
Position
Senior Principal Enterprise Data Architect, AI Data Transformation
Location
USA, Louisville, KY
How You'll Create Possibilities
AI Data Layer Enhancement & Transformation (40%)
  • Lead the architectural enhancement and evolution of the enterprise data layer, applying AI-first design principles to unify data across the enterprise value chain (R&D, supply chain, operations, and customer experience).
  • Define, publish, and maintain the Enterprise AI Data Architecture Blueprint-the authoritative reference governing how data flows from source systems (e.g. ERP, CRM, PLM, IoT platforms) through transformation layers to AI models and business outcomes.
  • Design and operationalize an Enterprise AI Data Readiness Framework that continuously assesses, scores, and improves data assets across five core dimensions: Completeness, Consistency, Timeliness, Representativeness, and Fairness.
  • Architect and deploy enterprise-grade vector database infrastructure and build enterprise embedding pipelines that transform structured records, enterprise documents, product manuals, and operational logs into high-quality vector representations.
  • Define the complete data architecture for Large Language Model (LLM) integration, including Retrieval-Augmented Generation (RAG) architecture to support enterprise copilots, customer service, and operational workflows.
  • Design ultra-low latency data serving architectures and event-driven AI data pipelines that feed live AI models in production (e.g., real-time operational analytics, predictive maintenance, and customer insights).
  • Establish an enterprise Synthetic Data Generation capability to augment scarce datasets, generate privacy-safe alternatives to sensitive data, and simulate operational edge cases.

Enterprise Architecture Strategy & Governance (35%)
  • Serve as a strategic partner and governance leader within the EA team, applying and evolving enterprise architecture frameworks (TOGAF, Zachman) with AI-era extensions tailored for a large-scale, complex enterprise environment.
  • Architect modern cloud data warehouse and Lakehouse solutions (e.g. BigQuery) as the unified, ACID-compliant foundation for both analytical and AI/ML workloads on a single governed storage layer.
  • Define and enforce data contracts between data producers (e.g., business operations, product engineering) and AI consumers across all domains to ensure schema, quality, freshness, and semantic consistency.
  • Lead Master Data Management (MDM) strategy with AI entity resolution, enrichment, and disambiguation capabilities embedded in the MDM layer (covering Product, Material, Supplier, and Customer domains).
  • Govern metadata management, data cataloging, and data lineage (e.g. Collibra) and design semantic/context data layers/Knowledge Graph infrastructure to map complex relationships between enterprise assets, suppliers, and business processes.
  • Facilitate Architecture Review Board (ARB) processes for data and AI initiatives, ensuring alignment between project delivery and architectural intent.
  • Align all data architecture decisions with regulatory and compliance requirements without compromising AI agility.

Data Science Enablement & Stakeholder Engagement (15%)
  • Apply statistical expertise to validate data representativeness, distributions, class balance, and sampling strategies for AI training datasets (e.g., ensuring datasets accurately represent real-world operational realities).
  • Serve as a trusted advisor and primary point of contact for business and IT stakeholders on AI data-governed initiatives.
  • Build and maintain effective working relationships at all levels of DT Staff, Extended DT Staff, and business leadership.
  • Proactively identify risks, issues, dependencies, and bottlenecks; implement mitigation strategies to keep teams moving forward.
  • Partner with functional/business teams, DT teams, and other team members to solve problems collaboratively and deliver project objectives.

Data Engineering Oversight & Standards (10%)
  • Provide architectural oversight and define enterprise standards for AI/ML-optimized data pipelines, guiding data engineering delivery teams from raw ingestion through feature engineering.
  • Define the architecture and integration patterns for the Enterprise Feature Store as the central hub of reusable, versioned ML features.
  • Establish DataOps and pipeline governance frameworks, guiding delivery teams on best practices for CI/CD, automated data quality testing gates, and infrastructure-as-code.
  • Define architectural patterns for streaming and event-driven technologies to support high-velocity enterprise and IoT telemetry data.
  • Elicit detailed business and architecture requirements, translating them into clear architectural guidelines and actionable work items for data engineering teams.

What You'll Bring to Our Team
Education:
  • Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, or a related technical field required.
  • Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field strongly preferred.

Experience and Qualifications:
  • 15+ years of progressive experience in data-related roles, with a minimum of 5 years in Enterprise Data Architecture at enterprise scale.
  • 3+ years of experience designing and architecting AI/ML data infrastructure (feature stores, vector databases, model serving layers, semantic layers).
  • Proven track record of leading enterprise data transformation programs with measurable AI and ML outcomes delivered in production environments.
  • Enterprise Industry Experience: Prior experience architecting data solutions involving complex supply chains, ERP (SAP/Oracle), PLM, or large-scale IoT/telemetry is preferred.
  • Excellent oral and written presentation Skills
  • Works independently with limited supervision and operates autonomously
  • Working knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman)

Preferred Qualifications
  • Experience working in both Agile and Waterfall delivery environments
  • Project Management Professional (PMP) certification preferred
  • TOGAF or other EA framework certification preferred

Our Culture
Our work is centered on our People and Culture as reflected in our Zero Distance philosophy and we recognize the importance of reaffirming our commitment to inclusion and diversity (I&D). This underscores our commitment to fostering an environment where every individual feels valued, connected, and empowered to contribute, while positioning our organization to adapt seamlessly to the evolving needs of our workforce and communities.
This reflects our dedication to creating solutions that: Empower colleagues by fostering an environment where all voices are heard, valued, and encouraged to contribute. Strengthen communities where we live and work. Reinforce a culture of belonging, purpose, and engagement. Reflect the diversity of the communities we serve through our workforce, products, and practices.
By further embedding Zero Distance into our People and Culture framework, we will continue to build a deeply connected organization. We are cultivating a culture of engagement, belonging, and connection, because while attracting new talent remains a priority, retention is a cornerstone of our strategy.
GE Appliances is a trust-based organization. It is important we offer our employees the flexibility they need to do their best work while balancing the needs of the business and individuals. When you join GE Appliances, you will have the opportunity to work with your leader to create a flexible work arrangement that balances the needs of the individual, team, and organization.
GE Appliances 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 Appliances participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S
If you are an individual with a disability and need assistance or an accommodation to use our website or to apply, please send an e-mail to

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