Applied AI/ML Director–HR Analytics

Location: Columbus, OH, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging technology to transform human resources and drive organizational excellence in the financial services industry. As the Applied AI/ML Director – HR Analytics, you will lead a pivotal initiative to modernize firmwide HR analytics through cutting-edge applied AI and Generative AI innovations. Based in our Columbus, OH hub, you will spearhead predictive science efforts that deliver measurable impact on talent management, employee experience, and business outcomes. This role sits within our Predictive Science category, where you'll harness AI to anticipate workforce trends, optimize recruitment, and enhance retention strategies amid the dynamic challenges of global banking. In this director-level position, you will build and lead a high-performing team of AI experts, collaborating closely with HR, technology, and risk management leaders to integrate AI solutions into core HR processes. Your responsibilities will include developing scalable ML models for predictive analytics, such as forecasting skill gaps or analyzing employee sentiment using GenAI, while ensuring all initiatives adhere to JP Morgan's stringent compliance and ethical standards. You will drive innovation by experimenting with advanced tools to automate routine HR tasks, personalize employee development paths, and provide actionable insights that support our commitment to diversity, equity, and inclusion in a highly regulated environment. Success in this role requires a blend of technical depth in AI/ML and strategic vision tailored to the financial sector's unique demands, including data security and regulatory scrutiny. You will report to senior HR and technology executives, influencing firmwide decisions through data-driven storytelling and ROI demonstrations. Join JP Morgan Chase to shape the future of HR analytics, contributing to our mission of powering the progress of individuals and communities worldwide while advancing your career in a collaborative, innovative culture.

Key Responsibilities

• Lead the modernization of firmwide HR analytics by integrating applied AI and Generative AI technologies to enhance predictive capabilities
• Develop and execute a strategic roadmap for AI/ML innovations in HR, aligning with JP Morgan Chase's business objectives and risk framework
• Oversee a team of data scientists, ML engineers, and analysts to build scalable models for talent forecasting, employee retention, and diversity analytics
• Collaborate with HR leadership, technology teams, and business stakeholders to identify high-impact use cases and measure ROI
• Ensure AI solutions comply with regulatory standards, ethical guidelines, and JP Morgan's data governance policies in the financial sector
• Drive experimentation with GenAI tools for HR processes like resume screening, personalized learning, and employee sentiment analysis
• Champion knowledge sharing and upskilling within the team on emerging AI trends relevant to people analytics
• Monitor and report on key metrics of AI/ML initiatives, presenting insights to senior executives to influence firmwide decisions
• Foster partnerships with external AI vendors and internal tech groups to accelerate innovation while managing costs and risks
• Stay abreast of industry advancements in predictive science and adapt strategies to maintain JP Morgan's competitive edge in HR technology

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; advanced degree (Master's or PhD) preferred
• 10+ years of experience in AI/ML, data analytics, or predictive modeling, with at least 5 years in a leadership role
• Proven track record of leading AI/ML initiatives in HR or people analytics within a large-scale enterprise, ideally in financial services
• Deep expertise in applied AI, Generative AI, and machine learning frameworks, with hands-on experience in deploying models at scale
• Strong understanding of HR domains including talent acquisition, employee engagement, performance management, and workforce planning
• Experience with data privacy regulations (e.g., GDPR, CCPA) and ethical AI practices in sensitive environments like banking
• Demonstrated ability to drive business impact through analytics, with experience presenting to C-suite executives

Preferred Qualifications

• Experience in financial services or regulated industries, with knowledge of risk management and compliance in AI applications
• Certification in AI/ML (e.g., Google Professional Machine Learning Engineer or AWS Certified Machine Learning)
• Background in agile methodologies and cross-functional team leadership in global organizations
• Familiarity with cloud platforms (e.g., AWS, Azure) for AI/ML deployments in enterprise settings
• Publication record or contributions to AI/ML conferences/journals focused on HR or business applications

Required Skills

• Advanced proficiency in Python, R, or Scala for AI/ML development
• Expertise in machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience with Generative AI models (e.g., GPT, BERT) and natural language processing
• Strong data engineering skills, including SQL, ETL processes, and big data tools (e.g., Spark, Hadoop)
• Knowledge of cloud-based AI services (e.g., AWS SageMaker, Google AI Platform)
• Statistical modeling and predictive analytics for time-series and classification problems
• HR analytics expertise, including workforce metrics and DEI data analysis
• Leadership and team management in agile, cross-functional environments
• Excellent communication skills for stakeholder engagement and executive presentations
• Problem-solving and strategic thinking in complex, regulated settings
• Familiarity with ethical AI, bias mitigation, and explainable AI techniques
• Project management skills using tools like Jira or Asana
• Analytical mindset with experience in A/B testing and experimentation
• Adaptability to fast-paced financial industry demands
• Collaboration skills for working with diverse global teams

Benefits

• Competitive base salary and performance-based annual bonus
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company match
• Paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, including tuition reimbursement and leadership training
• Wellness programs with gym memberships, mental health support, and employee assistance
• Stock purchase plan and employee stock ownership opportunities
• Flexible work arrangements, including hybrid options in Columbus, OH

JP Morgan Chase is an equal opportunity employer.