Applied AI ML Director

3 weeks ago

London, United Kingdom JPMorgan Chase & Co. Full time

HR Data and Analytics is a centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, and governance, and includes the development of artificial intelligence and machine learning (AI/ML) based solutions. We have a vision to help make individuals, teams, and businesses at JPMC among the most engaged and productive in the world. Our mission is to create workforce insights and business recommendations that help leaders make evidence-based people decisions that drive improved business outcomes, and to enhance employee experience and quality of life.

Position Overview & Responsibilities:

As a senior member of the HR Applied AI ML team you will help to lead HR’s use of data science, artificial intelligence, and machine learning, not only building and directing a team of data scientists, but also coordinating with other data scientists in the firm and participating in the selection and utilization of related vendor products. lead HR’s use of data science, artificial intelligence, and machine learning, not only building and directing a team of data scientists, but also coordinating with other data scientists in the firm and participating in the selection and utilization of related vendor products. 

From a product standpoint, you will ensure the appropriate alignment and prioritization of research and development resources to support our key HR products. From a technical standpoint, you will be responsible across a portfolio of projects for all aspects of the research lifecycle, including such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your team’s research. Your output will result in high-impact business applications, as well as possible patents and/or publications in AI/ML conferences and journals.

Candidate Profile

You are an experienced data scientist who combines thought leadership and innovation with practical action, is skilled at building and leading highly effective teams, and is adept at forging strong working partnerships across organizational, functional, and hierarchical boundaries. You understand and reinforce the corporate culture of balancing fast, relevant, and effective delivery, with appropriate stakeholder partnership and coordination, and conformance with all applicable controls, policies, and procedures.

Key Responsibilities

Build and manage team with responsibility for developing and delivering AI/ML solutions to support HR product areas Leverage AI/ML to generate insights and recommendations for business actions, to reduce costs, to increase capabilities, to enhance controls, and to improve employee experiences.  Drive internal development, promote reuse and partnership of AI/ML techniques and tools with groups across the firm, and leverage vendor solutions, as appropriate  Partner with Workforce Technology to architect and implement scalable, cost effective, enterprise quality data and analytics systems Ensure conformance with all applicable controls, policies, and procedures

Requirements

Significant relevant expertise and experience in data science Demonstrated management skills in leading data scientists MA/MBA or PhD/ScD in quantitative discipline relating to data science or statistics Expertise with modern AI/ML algorithms, techniques, software, and their practical application to build enterprise scale solutions Practical experience with statistical data analysis and experimental design Practical software development experience in collaborative project settings, including rapid prototyping and disciplined software development processes Leadership and executive presence – demonstrated credibility as a thought leader and influencer Strong project management skills – track record of driving execution and delivery  Excellent communications skills – can concisely, clearly, and accurately share ideas

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