Data Platform & AI Transformation Architect

International Business Machines Corporation; West Virginia; Remote; USD 120,000 - 180,000; Full time

Job summary

IBM Consulting in the United States seeks a Business Transformation Consultant specializing in Data Platforms. You will plan, design, manage, and implement core components of Watson Service Offerings and Digital Insights Platforms to deliver significant client value.

Role involves creating lasting business improvements, with responsibilities spanning architecture, data lake design, and cloud-based development.

Qualifications

• Master's Degree required.
• Extensive experience planning, designing, managing, and implementing data platforms and related services.
• Proven ability to deliver lasting business improvements for clients through data platforms and Watson offerings.
• Experience with cloud-based and on-premise deployments.

Responsibilities

• Design architecture and provide implementation support for cloud-based and on-premise data platforms.
• Plan, manage, and implement core components of Watson Service Offerings and Digital Insights Platforms.
• Collaborate with Sales and Delivery teams to define solutions and present their value to clients.
• Develop cloud-based solutions leveraging data lake, architecture, and integration expertise.
• Drive business transformation through delivery of data platforms and Watson offerings.

Skills

Data Platforms

Snowflake

Databricks

Digital Insights Platforms

Cloud Architecture

Solution Architecture

Data Lake

Virtualization

Watson Service Offerings

Education

Master's Degree

Tools

Snow Pro Certification

Databricks Certification

Claude Certifications

OpenAI Certification

Job description

IBM Consulting in the United States seeks a Business Transformation Consultant specializing in Data Platforms. You will plan, design, manage, and implement core components of Watson Service Offerings and Digital Insights Platforms to deliver significant client value.

Role involves creating lasting business improvements, with responsibilities spanning architecture, data lake design, and cloud-based development.