Lead AI-Driven Data & Analytics Architect

BrightClaim; New York (NY); Hybrid; USD 165,000 - 235,000; Full time

Job summary

Genpact seeks a Lead Solution Architect - Data and Analytics to design enterprise-grade data platforms and governance frameworks. You will lead the architecture and delivery of complex analytics solutions, partnering with senior stakeholders to define scope, requirements, and success metrics.

Hybrid work arrangement in the United States is available. Ideal candidates will have extensive experience in data modeling, pipelines, data governance, and an ability to mentor engineers while evaluating

Qualifications

• Enterprise-grade data and analytics solution design experience.
• Lead architecture and delivery of complex data platforms aligned with business and technology strategy.
• Collaborate with senior stakeholders to define scope, requirements, and success metrics.

Responsibilities

• Design enterprise-grade data and analytics solutions enabling data-driven decision-making across the organization.
• Lead the architecture and delivery of complex data and analytics platforms aligned with business and technology strategy.
• Provide technical leadership and mentorship to architects and engineering teams, fostering innovation and excellence.

Skills

Solution Architecture

Education

Bachelor's - Business Analytics

Bachelor's - Computer Science

Bachelor's - Statistics

Master's - Data Science

Tools

Certified Data Management Professional - RiversandRiversand

IBM Certified Solution Developer - WebSphere IIS DataStage

Informatica Certified Administrator - InformaticaInformatica

TOGAF 9 Certification - The Open Group Architecture Framework

Job description

Genpact seeks a Lead Solution Architect - Data and Analytics to design enterprise-grade data platforms and governance frameworks. You will lead the architecture and delivery of complex analytics solutions, partnering with senior stakeholders to define scope, requirements, and success metrics.

Hybrid work arrangement in the United States is available. Ideal candidates will have extensive experience in data modeling, pipelines, data governance, and an ability to mentor engineers while evaluating