Roles & Responsibilities:

- Co-develop, configure, implement and maintain a scalable technology architecture for Total Rewards initiatives, in close partnership with our Total Rewards, Technology and HR teams, including but not limited to Benefits Mgmt., Job Architecture & Leveling, Pay Equity & Transparency, Annual Compensation Processes, and dependent Total Rewards operations.

- Identify, evaluate, recommend and implement AI driven solutions, technology, automation and process re-engineering to enhance accuracy, efficiency, compliance, and user experience in all Total Rewards processes.

- Embed AI algorithms into Total Rewards platforms to forecast employee needs, model cost impacts of Total Rewards programs, and simulate distribution outcomes.

- Leverage data, analytics, and technology to drive informed decision-making, optimize workflows, and improve service delivery.

- Establish best practices and stay current with industry trends to ensure our Total Rewards technology solutions evolve with organizational needs.

- Support change management initiatives from a technology standpoint related to all Total Rewards programs.

- Leverage generative AI to support knowledge management, training content generation, and scalable SOP documentation within Total Rewards.

Basic Qualifications and Experience:

- Bachelor's or Master's degree in HR, Information Systems, Engineering, or a related field.

- 5+ years of experience in Total Rewards or HR Technology roles, preferably within a global / matrixed organization, with demonstrated exposure to AI-enabled tools, intelligent automation, or advanced analytics within the Total Rewards domain

- Proven expertise in Workday, with a focus on Benefits Administration module configuration and implementation.

- Demonstrated experience in integrating AI or machine learning in HR systems, technology project management, solution design, and process optimization.

Skills:

- Familiarity with AI tools/platforms and understanding of ethical AI use and data privacy in HR tech applications

- Strong understanding of compensation, benefits, and payroll processes

- Familiarity with job leveling frameworks and pay equity & transparency frameworks

- Experience working with HRIS, benefits platforms, stock administration tools, and case management systems.

- Analytical mindset with experience leveraging data and insights for continuous improvement.

- Excellent stakeholder management and collaboration skills.

- Strong problem-solving skills with a proactive approach to identifying inefficiencies and implementing solutions.

- Experience in continuous improvement methodologies (e.g., Lean, Six Sigma) is a plus.