Infra. Solution Architect Manager

Job Summary

Required Skills & Attributes

Strong experience in Business Systems Analysis.

Ability to translate business needs into technical solutions and manage enterprise applications.

Knowledge of integrations, SaaS platforms, and enterprise technology ecosystems.

Strong stakeholder management and vendor management skills to support cross-functional alignment and platform delivery.

Excellent analytical and problem-solving abilities.

Strong communication skills and accountability.

Ability to work effectively in fast-paced, transformation-driven environments.

Preferred Skills & Attributes

Experience supporting large-scale transformation programs, including HR or talent technology modernization initiatives.

Experience with advanced integrations, data architecture, and AI-enabled solutions.

Strong understanding of vendor strategy, product roadmapping, and enterprise technology decision-making.

Experience working in highly matrixed organizations.

Strategic thinking and the ability to influence without direct authority.

Proactive approach to innovation and continuous improvement.

Primary Responsibilities

Own and manage technical architecture and support for key enterprise applications, ensuring stability and performance.

Translate business requirements into system designs, enhancements, and actionable technical solutions.

Coordinate with cross-functional teams (business, product, and engineering) to deliver system updates and resolve issues.

Partner with vendors to support platform implementation, optimization, and contract-related activities.

Support ongoing transformation initiatives and drive alignment through governance, communication, and shared forums.

Prior Experience, Industry Background & Domain Expertise

Experience working in enterprise technology environments, preferably supporting HR, Talent Acquisition, CRM, or other business-critical platforms.

Experience with large-scale transformation or modernization initiatives, including system migrations and digital transformation programs.

Experience working with vendor-driven ecosystems and third-party SaaS solutions.

Experience in highly matrixed, regulated, or global organizations.

Domain expertise in recruiting technology, workforce systems, or customer/candidate engagement platforms.

Proven ability to influence cross-functional decisions and drive continuous improvement initiatives.

AI Skills

Understanding of AI/ML concepts, including predictive modeling, natural language processing, and generative AI.

Experience working with AI-enabled features within enterprise applications such as automation, candidate matching, and chatbots.

Ability to identify opportunities to apply AI to improve business processes, efficiency, and user experience.

Familiarity with data quality, data governance, and AI-driven outcomes.

Strong curiosity and adaptability to keep up with emerging AI trends and technologies.

Leverage enterprise-approved AI tools to improve productivity, documentation, data analysis, decision-making, and delivery quality.

Maintain awareness of evolving AI capabilities and apply them appropriately to business and technology initiatives.