Job Description - Total Rewards Technology & Transformation Advisor
Partner with HRIS, Technology, Total Rewards and across People & Culture leadership to ensure systems effectively enable processes like, but not limited to, salary planning, benchmarking, market analysis, pay governance, job architecture and performance assessment and recommendations. Design, Build and Implement intelligent, intuitive and automated total rewards solutions at scale. Key projects may include: o An employee compensation assessment and recommendation engine o An automated market job matching tool based on job description o A market salary benchmarking and pay range development tool o Incentive plan accrual and budgeting tool with smart reporting Serve as the primary technical interpreter between total rewards team and Technology team, ensuring business, technical, functional and UI/UX requirements are accurately translated into blueprints and BRD. Proactively seek opportunities to simplify, streamline and reengineer processes to deliver efficiency and impact globally. Leverage emergent GenAI and agentic tools and technology to deliver order of magnitude efficiency and business impact. Validate, Audit and Transform large time-series datasets for modeling and visualization. Design and implement ETL pipelines for automated ingesting, cleaning and transforming data. Design and implement impactful total rewards BI dashboards to equip total rewards and HR professionals with actionable intelligence across segments. Create wireframes and proof-of-concepts; Design and maintain high-quality documentation, templates, and training assets. Ensure alignment with security, privacy, and compliance standards globally. 10+ years of experience in HR Technology, Digital Transformation, Total Rewards, HR Ops in large, global organizations. Demonstrated experience with HCM and compensation planning systems. Strong understanding of compensation processes and how technology can enable and enhance them. A track record of leveraging automation, AI, and process design to improve efficiency and UX Experience with automation & low/no-code tools (RPA, PowerApps, etc.), ETL tools, Python/R (data science/ML libraries) is preferred. Advanced proficiency in MS Excel and PowerBI for data modeling, visualization, and creating impactful BI dashboards. Passion for innovation, problem-solving, and creating user-centered experiences.
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