Job description
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.