Hybrid Data & Analytics Solutions Architect - Lead AI Transformation

BrightClaim

New York (NY)

Hybrid

USD 165,000 - 235,000

Full time

10 days ago
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Job summary

Genpact seeks a Lead Solution Architect - Data and Analytics to design enterprise-grade platforms and guide delivery across the organization.

You will collaborate with senior stakeholders to define requirements, governance, data models, pipelines, and success metrics while mentoring architecture and engineering teams.

Hybrid work in the United States, focusing on delivering measurable outcomes for global clients and staying ahead of data science trends.

Qualifications

  • Enterprise-grade data and analytics design experience.
  • Experience translating business requirements into data architecture.
  • Strong governance and compliance awareness.

Responsibilities

  • Design enterprise-grade data and analytics solutions.
  • Lead architecture and delivery of complex data platforms.
  • Collaborate with senior stakeholders to define scope and success metrics.
  • Design data models, pipelines, and integration frameworks.
  • Establish and enforce data governance, quality, and compliance standards.
  • Provide technical leadership and mentorship to architects and engineering teams.
  • Evaluate emerging technologies and trends in data and analytics, recommending adoption strategies.

Skills

BI
Cluster Analysis
Cost Reduction
Data Integration
Data Management
High Volume Replication
Master Data Management
Metadata Management
Solution Architecture
Solutions Design

Education

Bachelors - Business Analytics
Bachelors - Computer Science
Bachelors - Statistics
Masters - Data Science

Job description

Genpact seeks a Lead Solution Architect - Data and Analytics to design enterprise-grade platforms and guide delivery across the organization.

You will collaborate with senior stakeholders to define requirements, governance, data models, pipelines, and success metrics while mentoring architecture and engineering teams.

Hybrid work in the United States, focusing on delivering measurable outcomes for global clients and staying ahead of data science trends.

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