Lead technology strategy and architecture engagements, aligning technology investments and solution designs with client business objectives and transformation goals
Conduct technology due diligence assessments for mergers, acquisitions, divestitures, strategic investments, and digital transformation initiatives
Define and own end-to-end solution architectures across business applications, data, integrations, cloud platforms, AI solutions, and enterprise technology ecosystems
Develop target-state architecture blueprints, technology roadmaps, reference architectures, and transition strategies to support client transformation programs
Lead platform evaluation and selection processes, including requirements definition, vendor assessments, proof-of-concepts, architecture reviews, and recommendation development
Design AI and advanced analytics architectures
Provide architecture leadership during implementation programs
Partner with product managers, engineering teams, data specialists, and client stakeholders to translate business needs into scalable and maintainable technical solutions
Establish architecture governance processes, design standards, decision frameworks, and quality assurance mechanisms across engagements
Lead architecture reviews and technical design workshops with executive stakeholders, business leaders, engineering teams, and vendors
Identify, assess, and mitigate technical risks, dependencies, and architectural constraints throughout the program lifecycle
Mentor architects, engineers, and consultants while contributing to architecture frameworks, reusable assets, accelerators, and intellectual property
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical discipline
10–15+ years of experience in solution architecture, enterprise architecture, technology consulting, software engineering, or related technology leadership roles
Strong experience leading technology due diligence, architecture assessments, and technology modernization initiatives
Proven track record developing end-to-end solution architectures spanning applications, data, integrations, cloud infrastructure, security, and operational processes
Hands-on experience with cloud architectures and services across AWS, Azure, and/or Google Cloud Platform
Experience designing AI, machine learning, advanced analytics, and GenAI-enabled solutions within enterprise environments
Strong understanding of software architecture patterns, distributed systems, APIs, integration architectures, and modern application development practices
Experience working directly with executive stakeholders to communicate technical concepts and influence strategic technology decisions