Continuously scan externally for practical improvements, exploring new technologies, AI capabilities, and automation opportunities that simplify processes and elevate reward analytics
Partner with reward stakeholders to understand business needs, uncover opportunities, and translate reward data into actionable insights that inform decisions and bring reward value to life for managers.
Help the team stay race-ready by supporting key Reward priorities such as pay equity, global living wage, pay transparency, and transformation.
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Lead the conceptualization and solution design for Machine Learning and Generative AI applications, specifically utilizing Google Cloud’s Vertex AI and Gemini ecosystems.
Direct the rapid prototyping of Proof of Concepts (POCs) to validate technical feasibility and business ROI before committing to enterprise-scale development.
Partner closely with Product Managers to align solution architecture with the product roadmap, define feature specifications, and ensure the end-product meets the original business case.
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Preparing reports for the management stating trends, patterns, and predictions using relevant data
Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
Collaborate with cross-functional teams to translate data findings into actionable recommendations.
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Lead the conceptualization and solution design for Machine Learning and Generative AI applications, specifically utilizing Google Cloud’s Vertex AI and Gemini ecosystems.
Direct the rapid prototyping of Proof of Concepts (POCs) to validate technical feasibility and business ROI before committing to enterprise-scale development.
Partner closely with Product Managers to align solution architecture with the product roadmap, define feature specifications, and ensure the end-product meets the original business case.
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Work with business units and functions to map current processes, identify manual or repetitive tasks, analyse bottlenecks and recommend practical digital solutions using appropriate tools such as Microsoft Power Platform, Power BI, SharePoint, Excel automation and other approved technologies.
Design, develop and maintain Power BI dashboards, reports and data visualisations to provide reliable, real-time insights for management and business stakeholders.
Gather user requirements, prepare simple business requirement documents, user stories, process flows and test scenarios, and translate them into clear functional specifications for solution development or enhancement.
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Partner with Data Engineering on bronze-layer ingestion and pipeline design, so your models are built on solid, well-understood inputs.
Partner directly with business stakeholders to understand their goals and challenges, acting as their go-to person for anything analytics — from a quick SQL question to a new metric definition to a full dashboard.
Guide stakeholders on how to think about their own data: helping them frame the right question, choose the right metric, and understand tradeoffs in how something is calculated.
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