Applied AI/ML Director HR Analytics

Description

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.

Job responsibilities

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

Required qualifications, capabilities, and skills

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, TensorFlow, PyTorch, and cloud-native infrastructure (AWS, Databricks)

Experience with NLP, LLMs, agentic workflows, and scalable ML architectures

Preferred qualifications, capabilities, and skills

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