Salary
💰 $138,400 - $264,150 per year
About the role
- Act as the lead advisor for implementing AI in Adobe hiring and support innovation in high-impact areas like engineering hiring re-imagination and selection-process design
- Partner across Global TA, Employee Experience, Legal, and Tech to ensure ethical, compliant, and scalable use of AI in hiring
- Oversee a team of analysts to build nimble and predictive models to forecast hiring needs, candidate success, and process bottlenecks
- Conduct detailed analyses and transform complex data into compelling stories that inform leadership decisions and develop strategy
- Serve as in-house specialist for selection process design, including competency modeling at scale and AI-aided assessments
- Collaborate with hiring teams to pilot and refine AI tools that enhance fairness, speed, and quality in candidate evaluation
- Partner with People Analytics to improve data hygiene and dashboard accuracy and ensure data used in AI models is clean, unbiased, and aligned with privacy standards
- Serve as the trusted advisor to TA leadership, synthesizing and translating complex data across Finance, People Analytics, and the business into compelling narratives
- Understand hiring trends and serve as a bridge between TA, Finance, and People Analytics to align internal metrics with external market trends
- Build programmatic rigor to enhance the TA function's skills in people analytics and data storytelling
Requirements
- 10+ years of experience in people analytics, talent strategy, workforce planning, or financial modeling, preferably in a global enterprise or consulting environment
- Demonstrated ability to influence and advise C-level collaborators with clarity and confidence
- Strong analytical toolkit (e.g., Advanced Excel, Tableau/Power BI)
- Comfort working in a technical environment (e.g. SQL, database structures)
- Experience leading matrixed, cross-functional teams that drive measurable business outcomes
- A passion for innovation, systems thinking, and inclusive hiring practices
- Advanced degree in Industrial/Organizational Psychology, Data Science, Business or related field preferred, with equivalent experience considered
- Experience leading AI adoption projects or readiness assessments preferred