Applied AIML Director–HR Analytics
Applied AIML Director–HR Analytics
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Job Description
Are you ready to shape the future of work for over 320000 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/ 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
Required Experience:
Director
Employment Type
Full-Time
