Applied AI/ML Director–HR Analytics at JPMC Candidate Experience page

Columbus, Ohio, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Ai, Ml, Nlp, Llm, Rag, Agentic Workflows, Python, Tensorflow, Pytorch, Aws, Databricks, Statistics, Leadership, Problem Solving, Governance, Stakeholder Engagement, Cloud-native Infrastructure

Industry

Financial Services

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

Responsibilities

Lead a team of approximately 10 Applied AI Practitioners to deliver scalable, business-impactful AI solutions. Drive cross-pillar influence, ensure robust governance, and set the standard for communications and stakeholder engagement.