Roles and Responsibilities:
Data Architecture Leadership:
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.
Subscription Analytics Enablement:
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.
AI & Advanced Analytics:
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.
Platform & Tooling Strategy:
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.
Governance & Compliance:
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.
Mentorship & Collaboration:
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.
Required Qualifications:
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.
Desired Characteristics:
Proven ability to lead and mentor teams, fostering a collaborative and high-performance culture focused on innovation and excellence.
Excellent interpersonal, communication, and presentation skills with the ability to collaborate effectively across diverse teams.
Act as a trusted advisor to executive stakeholders, offering insights, recommendations, and solutions to address business challenges and drive competitive advantage.
Strong analytical and problem-solving skills using data-based decisions, combined with a passion for improving patient care and clinical research.
Experience with Agile methodologies and product management tools.
Inclusion and Diversity
GE HealthCare is an Equal Opportunity Employer where inclusion matters. 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.
We expect all employees to live and breathe our behaviors: act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.
Relocation Assistance Provided: No