Principal Architect -Subscription Data Fabric at GE Healthcare

Bengaluru, Karnataka, India

GE Healthcare Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, TechnologyIndustries

Requirements

  • Overall 15+ years of experience
  • Minimum 10+ years in data architecture, with a strong background in subscription analytics and AI/ML
  • Proven ability to design and implement cloud-based data platforms using modern tools and technologies
  • Solid understanding of subscription business models, SaaS metrics, and customer insights
  • Hands-on experience with data engineering tools (e.g., Spark), cloud platforms (Azure, AWS, GCP), and data modeling
  • Familiarity with streaming data architectures and AI/ML deployment practices (MLOps)
  • Strong communication and stakeholder engagement skills
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
  • Demonstrated leadership and strategic thinking, with the ability to translate complex technical concepts into business value

Responsibilities

  • Design and evolve enterprise-grade data architectures to support subscription analytics, customer lifecycle insights, and AI/ML applications
  • Define and implement data modeling standards, governance frameworks, and integration strategies across cloud and hybrid environments
  • Architect data pipelines and analytical models to support metrics such as ARR, churn, renewal rates, customer health scores, and usage patterns
  • Collaborate with product, finance, and commercial teams to align data structures with subscription KPIs and business outcomes
  • Partner with data science teams to operationalize machine learning models for predictive analytics, customer segmentation, and recommendation engines
  • Ensure scalable deployment of AI solutions across platforms, enabling real-time decision-making and automation
  • Lead the selection and implementation of modern data platforms (e.g., AWS, Azure, etc) and orchestration tools
  • Lead continuous improvement and refactoring approach to keep the tech stack optimized for performance and costs
  • Drive adoption of self-service analytics capabilities for business users through semantic layers and intuitive data access
  • Establish robust data governance practices ensuring data quality, lineage, privacy, and compliance with global standards (e.g., GDPR, HIPAA)
  • Champion metadata management and cataloging to enhance data discoverability and trust
  • Mentor data engineers and architects, fostering a culture of innovation, excellence, and continuous learning
  • Collaborate with enterprise architects, product owners, and business stakeholders to align data strategy with organizational goals

Skills

Data Architecture
AWS
Azure
Data Pipelines
Data Modeling
Data Governance
AI/ML
Machine Learning
Predictive Analytics
Customer Segmentation
Subscription Analytics
ARR
Churn Analysis
Semantic Layers
Orchestration Tools

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters
1892Year Founded
N/ACompany Stage
Data & Analytics, HealthcareIndustries
10,001+Employees

Risks

Emerging AR technologies increase competition in medical imaging.
Regulatory challenges may delay AI application expansions in healthcare.
Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.
The company supports over 300,000 patients daily with its healthcare technologies.
GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.
Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.
Collaboration with Wayra accelerates digital health innovation in EMEA.

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