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.

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

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