Data/Cloud/AI/Enterprise Architect - Cross Industry

Architecture Strategy & Design:

- Define target enterprise architecture across enterprise systems- digital, data, AI, application and integration layers.

- Align technology strategy with business priorities and transformation goals.

- Create architecture blueprints, principles, and reference models tailored to client needs.

- Evaluate emerging technologies and their applicability to business use cases.

Delivery & Transformation:

- Lead architecture assessments, define modernization roadmaps, and oversee implementation governance.

- Guide design and delivery of complex enterprise systems leveraging cloud-native, microservices, and API-first patterns.

- Ensure architecture compliance and quality assurance through technical reviews and best practices.

- Drive adoption of agile, DevSecOps, and platform engineering practices.

- Evaluate technology options to support target architecture, onboard and oversee end to end build.

Advisory & Leadership:

- Act as a trusted advisor to senior IT and business leaders.

- Provide thought leadership on digital platforms, data ecosystems, and technology strategy.

- Contribute to knowledge base, frameworks, and capability development.

- Coach and mentor team members and client architects to build sustainable capabilities.