Applied AI​/ML Director–HR Analytics

Are you ready to shape the future of work for over 320,000 employees? This is a rare opportunity to lead applied AI and GenAI innovation at scale, delivering high-impact solutions that will define the next era of HR analytics, talent strategy, and employee experience. Join a high-performing team and set the standard for communications, governance, and stakeholder engagement, while driving measurable business impact across the firm.

As an Applied AI/ML Director – HR Analytics in the HR leadership team, you will lead a team of approximately 10 Applied AI Practitioners to deliver scalable, business-impactful AI solutions. You will drive cross-pillar influence, ensure robust governance, and set the standard for communications and stakeholder engagement. This full-time, in-office position is responsible for leading all US-based AI/ML and Data Science work for HR firmwide, integrating solutions with cloud-native infrastructure and championing innovation.

• Translate complex technical concepts into actionable business insights for senior HR, Tech, and Product stakeholders
• Influence, engage, and drive alignment across functions
• Architect, build, and deploy ML/GenAI models (NLP, LLMs, RAG, agentic workflows) for HR analytics use cases
• Lead, mentor, and develop a diverse team of Applied AI Practitioners, fostering collaboration, upskilling, and internal mobility
• Integrate solutions with HR data lake and cloud-native infrastructure (AWS, Databricks)
• Champion reusable ML assets, feature stores, and standardized pipelines
• Ensure understanding and adherence to controls and governance processes for model development and deployment
• Surface risks, drive closed-loop feedback, and optimize for scale, reliability, and performance
• Navigate cross-pillar dynamics and surface ROI/reputational impact

• BS/B.Tech/MS/PhD in AI/ML or a relevant field, with advanced degrees such as MS or PhD highly valued.
• 10+ years hands-on experience in ML/GenAI model development and deployment
• Strong in AI/ML fundamentals, Statistics, and knowledge of classical AI and Algorithms
• Strong problem-solving ability
• Proven leadership of technical teams in applied AI/ML
• Exceptional communication skills; able to influence and engage senior stakeholders
• Deep expertise in Python, Tensor Flow, PyTorch, and cloud-native infrastructure (AWS, Databricks)
• Experience with NLP, LLMs, agentic workflows, and scalable ML architectures

• Experience in financial services, Human Resources, or regulated industries
• Familiarity with agentic workflows, LLMs, GenAI, and cloud platforms
• Proven ability to scale AI/ML solutions across complex, multi-stakeholder environments