Analytics and Modeling Manager
On-siteBuenos Aires, Buenos Aires F.D., Argentina
Job Summary
Serve as the face of the BI&A team, advising senior stakeholders on complex analytic needs in the talent/HR space. Provide strategic decision support to Business and HR Leads by leveraging AI-generated insights to accelerate analysis and sharpen recommendations. Effectively design and deliver analytic solutions, including AI-powered models and automated reporting, that address the nuanced needs of the business. Explore and implement responsible AI applications in people analytics, including predictive modeling, natural language interfaces, and generative AI for narrative insight delivery. Work across the ecosystem to strategically influence products, services, and offerings based on customer feedback and emerging AI capabilities. Communicate priorities to drive the vision and roadmap of our products while advocating for a data-driven culture focused on AI fluency and self-enablement. Stay current on the evolving landscape of AI in HR, bringing new tools and methodologies to the team.
Required Qualifications
- Bachelor's degree in a related field, such as business administration, human resources, statistics, or data science
- 3+ years of experience in people analytics or a related field
- Experience consulting and advising senior/executive-level stakeholders, preferably in an analytically-focused area
- Demonstrated and progressive experience in HR with a focus on analytics and reporting—or—in a data and analytics role with exposure to HR or people leaders
- Hands-on experience with AI or machine learning tools applied to workforce or business analytics (e.g., predictive attrition, skills inference, generative AI for reporting)
- Familiarity with responsible AI principles and the ability to communicate AI-driven insights clearly to non-technical audiences
- Experience with driving change and adoption of new ways of working and innovative solutions, including AI-powered tools
- Ability to effectively prioritize and organize a large volume of highly complex work
- Strong knowledge of analytic tools and methodologies in a relevant area (e.g., Power BI, Python, SQL, or equivalent)
- Skilled in effectively negotiating priorities and translating requirements into meaningful work plans and objectives for the team
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