Key Responsibilities:
- Collaborate with business teams to understand data needs and translate them into scalable architecture and models.
- Design enterprise-grade data solutions, including data lakes, warehouses, and semantic layers.
- Design element should include concepts such as knowledge graph and data ontology
- Define and maintain conceptual, logical, and physical data models aligned with business strategy.
- Lead the development of dashboards, KPIs, and analytics solutions that provide actionable insights.
- Identify predictive and prescriptive use cases and requirements from business discussions
- Drive data governance, quality, and stewardship initiatives across business domains.
- Evaluate and integrate AI/ML capabilities into data architecture to support predictive and prescriptive analytics.
- Provide architectural guidance on cloud platforms (AWS or Azure) for data solutions.
- Act as a strategic advisor to leadership on data strategy, architecture, and innovation.
Education Qualification
- Bachelor’s degree in Computer Science, Information Systems, Data Science, , or a related technical field.
- Equivalent experience considered in lieu of a degree (e.g., 7+ years in data architecture across enterprise programs).
Business Acumen:
- Ability to translate business strategy into data architecture and identify predictive/prescriptive analytics opportunities.
- Strong understanding of KPIs, ROI, and value-driven data solutions across domains like Sales, Finance, Supply Chain, and Customer Experience.
- Knowledge of data governance, compliance, and risk management
Leadership:
- Acts as strategic advisor on data strategy and design discussions;
- Leads design of scalable business data solutions using data lakes, warehouses, semantic layers, knowledge graphs.
- Mentors teams, drives cross-functional alignment, and communicates effectively with executives and technical teams.
Relocation Assistance Provided: Yes
Top Skills
What We Do
Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence.
As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform.
With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world.
We embrace a culture of respect, transparency, integrity and diversity.
