Salary
💰 $117,264 - $146,580 per year
Tech Stack
AzureCloudServiceNow
About the role
- Lead global AI/automation initiatives from concept to deployment, owning end-to-end delivery in a vendor-partnered model.
- Identify high-value use cases across the HR lifecycle (e.g., talent acquisition, onboarding, engagement, learning, workforce analytics) where AI and automation can create measurable impact.
- Partner with HR COEs, IT, and vendors to define requirements, evaluate technologies, and ensure successful implementations.
- Build and maintain project roadmaps, timelines, budgets, and resource plans, ensuring alignment with the global DHR strategy.
- Apply agile and iterative delivery models, driving continuous improvement and scaling successful pilots into global rollouts.
- Ensure ethical, secure, and compliant use of AI, embedding guardrails for data privacy, bias reduction, and regulatory compliance.
- Champion adoption and change management, including stakeholder engagement, training, and capability-building.
- Monitor outcomes and ROI, refining solutions to maximize efficiency, user experience, and business impact.
- Stay ahead of emerging trends in AI, automation, and digital HR technologies, bringing thought leadership into the organization.
Requirements
- Bachelor’s degree in HR, Computer Science, Data Science, Business, or related field.
- 5+ years of experience in HR technology, AI/automation, or digital transformation roles in global or matrixed environments.
- Proven track record leading AI/automation projects within HR or adjacent domains.
- Strong understanding of HR platforms, with emphasis on Workday and ServiceNow.
- Familiarity with leading AI platforms/tools (Microsoft Copilot, UiPath, Azure AI, Google Cloud AI, etc.).
- Exceptional stakeholder management and communication skills, with ability to translate complex technology into clear business value.
- Strong problem-solving, vendor management, and program delivery skills.
- Passion for innovation, continuous learning, and driving digital change at scale.