2017 CONFERENCE VIDEO – WATCH NOW
The Conferences on Human Capital Innovation in Technology & Analytics have been organized annually since 2012 by the Department of Technology Management and Innovation at NYU Tandon School of Engineering. Each year these Conferences focus on a different critical issue, bringing together prominent thought leaders and experts who are at the cutting-edge of Human Capital Analytics (HCA) and related technologies.
This year’s critical issue is “Career Path Analytics: New Ways in Identifying & Implementing Passages to Organizational Success”. Leading firms are rethinking their approach to career paths, which are central in creating effective talent management systems to recruit, develop and retain hard to replace high performers and knowledge workers. With intense competition for top talent, effective career paths can play a critical role in an organization’s achieving its human capital strategic goals. In recognition of this importance, firms have begun to focus on innovative research, including human capital analytics, to better understand the dynamics of career paths and the interventions that can promote success.
This conference brings together thought leaders and experts from industry and academia to discuss new analytic approaches to career paths and how they can address the challenge of identifying and implementing passages to organizational success. The conference will be attended by executives, managers and professionals, who range from human capital analytics experts to HR generalists, as well as faculty and students from various disciplines. This is a valuable opportunity to network with leaders in this emerging field and learn about how cutting-edge career path analytics can help win the “War for Talent”.
This Conference is presented in cooperation with Poly-SHRM (Society for Human Resource Management student chapter) and IHRIM (International Association of Human Resource Information Management).
Corporate co-sponsors
This education program has been approved for 4.5 HRIP Recertification Credit Hours. Logo use is not an endorsement of the quality of the program by IHRIM, but an indication that it meets the requirements to be pre-approved for credit.
Please visit www.ihrim.org for additional information.
Program with Abstracts & Biographies
Date: Tuesday, May19, 2017 (Event Concluded).
1:00 – 1:30 PM
Welcome & Introduction to the Conference
Dr
. Harold G. Kaufman, Professor of Management, Department of Technology Management & Innovation, NYU Tandon School of Engineerin
Dr. Harold G. Kaufman is Professor of Management and has served as Academic Director of the Organizational Behavior, Systems and Analytics graduate program in the Department of Technology Management and Innovation at the NYU Tandon School of Engineering. He established this graduate program as a unique and pioneering curriculum integrating the management of people, organizations, technology and analytics. In addition, Dr. Kaufman initiated the annual conferences in Human Capital Innovation in Technology & Analytics, focusing on the cutting edges of technology in HRIS, talent management, work engagement, human capital engineering and data analytics. Most recently, he took the initiative in developing a Quantitative Human Capital Management research project with SAP, whose initial focus will be on career paths among knowledge workers.
Dr. Kaufman specializes in the study of the utilization, obsolescence and career development of technical professionals. He has reported his research in numerous publications, including three books, the first one receiving recognition as advancing the state of knowledge in the field by the Harvard Business School. Dr. Kaufman’s research has been supported by grants from the National Science Foundation and other government agencies as well as from private foundations. He was elected Fellow of the Society of Industrial and Organizational Psychology as well as the American Psychological Association. Dr. Kaufman earned his PhD at New York University in Industrial Psychology. He also holds a Master of Industrial Engineering from New York University and a Bachelor of Mechanical Engineering from the Cooper Union for the Advancement of Science & Art. Email: hgk224@nyu.edu
Mick Collins, Global Vice President, Solution Architecture & Advisory, SAP SuccessFactors
Mick Collins is a Global Vice President, Solution Architecture & Advisory, for the SAP SuccessFactors Workforce Analytics & Planning products. In this capacity, he oversees presales strategy and execution, with specific responsibilities including go-to-market messaging, commercialization strategy, sales enablement, prospect & customer engagement, alliance management, and product thought leadership. With 12+ years of experience in analytics & planning, Mick has delivered hundreds of presentations and workshops to public- and private-sector organizations on how to build their capabilities for data-driven decision-making in HR
Mick is a frequent speaker at major conferences, including those hosted by SAP, the Human Capital Institute, Evanta, IHRIM, the Talent Management Alliance, the American Strategic Management Institute, and SAP SuccessFactors. Original content includes workshops on Actionable Analytics, Rollout Planning for Workforce Analytics, and Communicating Workforce Metrics. Additionally, Mick has published many articles, most recently “Data Ethics and Enterprise Analytics”, “Time to Upskill: Core Competencies for Workforce Analytics”, “The Business Case for Workforce Analytics in the Cloud”, and “Critical Decisions in Launching a Workforce Analytics Program”.
Prior to his current role in presales, Mick, from 2009 to 2010, served as the lead strategy consultant for numerous SAP SuccessFactors workforce analytics and/or workforce planning clients, including several Fortune 500 enterprises. Partnering with senior HR executives, Mick provided executive engagement, data analysis, change management consulting, and practitioner training. Earlier in his career, Mick was Vice President of Marketing at Infohrm (the firm acquired by SAP SuccessFactors in July 2010), leading the firm’s global marketing activities. From 1999-2006, Mick help various positions with the Corporate Executive Board (NASDAQ: EXBD) including Senior Consultant (CLC Metrics), Associate Director (Corporate Strategy Board) and Research Manager (Corporate Leadership Council). Mick has a Masters degree in Political Science from Virginia Tech and a BA (Hons) in Economics & Politics from the University of Leeds, England. Email: mick.collins01@sap.com
1:30 – 2:00 PM
Mercer
Analytics to Uncover the Drivers of Success in Organizations
Abstract: This presentation will review an approach that can be utilized to describe how employees move through organizations and are rewarded within them: Internal Labor Market (ILM) Analysis. The analysis begins with descriptive work to understand where employees sit in the organization, rates of movement, and associated rewards. The analysis then turns to predictive modeling to understand (1) the attributes and experiences of employees that are linked to career mobility and (2) how such mobility figures into the value proposition. The analysis is intended to inform the alignment of programs to build, evolve, and motivate the desired workforce. The presentation will be supported by case studies.
Dr. Brian Levine, Partner and Innovation Leader, Workforce Strategy & Analytics
Dr. Brian Levine is a Partner and co-leader of Mercer’s Workforce Strategy & Analytics practice as well as a fellow of Mercer’s research arm, the Workforce Sciences Institute. He helps organizations assess their internal labor markets, the processes by which employees are rewarded and move through organizations. Dr. Levine has more than 15 years of consulting experience in measurement – working with company data to identify the drivers of workforce outcomes as well as significant links between human capital practices and business performance. He has led engagements in various sectors, including recent assignments in financial services, professional services, pharmaceuticals, healthcare, insurance, technology, transportation, retail, and higher education. Dr. Levine has extensive consulting experience leading analytic assessments of diversity, pay equity, and compensation alignment. He led the team that developed Mercer’s proprietary pay equity software. Areas of expertise include labor economics and econometrics/statistics.
Dr. Levine frequently publishes in the professional press. Recent articles focus on pay equity (Workspan, January 2015) and the business risks associated with pay-for-performance. He presented at three of the most recent annual WorldatWork conferences; he has also presented at the National Industry Liaison Group annual meeting, on leveraging compliance efforts to achieve diversity objectives and improve human capital management. Dr. Levine was an adjunct professor at Baruch College (CUNY), where he taught labor economics, and is a member of the American Economics Association (AEA). More recently he was an adjunct professor in the Department of Technology Management & Innovation at NYU teaching a course in “Managing Diversity and Inclusion: An Analytic & Behavioral Approach”. Dr. Levine received a B.S. in Industrial and Labor Relations and M.S. and Ph.D. degrees in Economics, all from Cornell University. Email: brian.levine@mercer.com
2:00 – 2:45 PM
PepsiCo
Understanding Critical Drivers of Careers: Perspectives and Behaviors
Abstract: Providing positive career experiences is important to organizations, particularly given what has been coined as the “War for Talent.” To better understand the career experiences of PepsiCo employees and the effects of these experiences on job-related outcomes, a Career Strategic Insight Survey was conducted in 2016. Following data collection, the survey team (Organizational Development – Culture and Engagement) and the analytics team (Workforce Planning and Analytics) collaborated to connect survey results with critical workforce outcomes. Through analytical deep dives, career outcomes from the survey were investigated and underlying career drivers explored. Practical implications, learnings from the project, and cross-team collaboration will be discussed.
Jonathan Wang, OD Associate Manager, Workforce Planning & Analytics
Jonathan Wang is currently an Associate Manger on the Workforce Planning & Analytics Team in PepsiCo’s Global HR Function. He joined PepsiCo in 2015, and has partnered closely with study leads to leverage data to address critical business questions. Specifically, he has been providing support to aggregating and calculating metrics based on system HR data, identifying trends and relationships among metrics, understanding drivers of various talent metrics, conducting analyses to measure impact of programs and interventions, predicting and planning for future talent outcomes, and leveraging cutting-edge techniques to analyze unstructured data.
Prior to joining PepsiCo, Jonathan completed his Ph.D. in Chemistry at Yale University, where he has performed analytics to extract useful insights from experimental data and simulations to explore the behaviors of molecules. Beyond his Ph.D. work, Jonathan has also created models to optimize trading strategies for investors, and established financial and business models for commercializing medical patents. He earned his B.S. in Chemical Physics from the University of Science & Technology of China. Email: Jonathan.Wang@pepsico.com
Vanessa A. Jean, OD Senior Analyst, Enterprise Organization Development CoE, Culture & Engagement Team
Vanessa Jean is currently a Senior Analyst on the Enterprise Organizational Development – Culture and Engagement Team at PepsiCo. Since joining PepsiCo in 2016, Vanessa has supported the development and administration of global Organizational Health, Strategic Insight, and Pulse surveys, as well as local special topic surveys. Additionally, she assists with survey data analysis, presentation of survey results and insights, and partners with Organizational Development leads across the globe to help them understand, communicate, and take action against their survey results
Vanessa is currently a Doctoral Student in the Industrial and Organizational Psychology program at Texas A&M University and plans to defend her dissertation this summer. She obtained a Master’s degree from Texas A&M in I/O Psychology in 2014. Email: Vanessa.Jean@pepsico.com
3:30 – 4:30 PM
IBM
How Cognitive Computing is Helping Employees Shape Their Careers
Abstract: Our world continues to change at blinding speed, and as the world changes, so does the talent market. Employees expect their work experience be consistent with their consumer experience – simple, engaging, and personalized. They also report that careers and career progression are their number one priority when selecting and staying with an employer. On the flip side, employers are finding it harder and harder to find the talent they need when they need it, and to keep their talent engaged. All of these trends are requiring employers to take a new approach to careers. This presentation will address how IBM is reinventing the career experience by infusing cognitive computing in every part of the employee career journey.
Dr. Anshul Sheopuri, Director, People Analytics & Cognitive Offerings. IBM Distinguished Engineer
Dr. Anshul Sheopuri is the Director of the People Analytics & Cognitive Offerings team whose focus is to build, accelerate and scale the impact of IBMs workforce analytics solutions across the analytics spectrum, from self-serve reporting to next-generation cognitive capabilities in order to deliver significant measurable financial impact. Prior to this, Dr. Sheopuri was a Principal Research Staff Member and Senior Manager, Digital Research, at the IBM T J Watson Research Center. In this role, he led a team of researchers working on innovative big data digital technologies in areas such a real-time bidding algorithms for paid media optimization, spatio-temporal analytics for mobile personalization, and omni-channel content personalization using natural language processing and machine learning techniques.
Dr. Sheopuri was featured in Fortune CNN as IBMs Face of the Future and his work has been highlighted in the IBM investor briefing. For his leadership and contributions leading to measurable financial impact, he has received the IBM Corporate Technical Award, the highest technical award given by IBM. His work has been cited in numerous media venues including New York Times, New Yorker, Washington Post, to name a few. He received his PhD in Operations Management from New York University’s Leonard N. Stern School of Business and a B.Tech. in Mechanical Engineering from the Indian Institute of Technology, Madras. Email: sheopuri@us.ibm.com
IBM
Changing Skills and Training along the Career Path: Machine learning applications
Abstract: Skills evolve in the modern economy, so a successful career acquires new skills every few years.
Moreover, the promotion within a company depends not only on individual but also on collocation with colleagues. IBM analytics utilizes machine learning to address lifelong skill transition, training, and colocation. Some of the questions addressed include the following:
1. What skills are similar for a feasible transition? If adjacent skills are in higher demand, then transition pays off.
2. What courses and training are recommended for an individual?
3. What are the best collocation with colleagues to expect a faster promotion rate?
Dr. Michael Peran, Executive Program Manager, Chief Analytics Office
Dr. Michael Peran is Executive Project Manager with IBM Chief Analytics Office. He focuses on applying advanced analytics, data science, and cognitive machine learning to forecast changes in workforce (attrition, new hires, etc.), sales performance, revenues, costs, profits and similar business metrics as well as to design optimal business actions to improve the outcomes (e.g., reduce attrition, optimize salesforce allocation, recommend training and strategic reskilling of the workforce, etc.). Before joining IBM, Dr. Peran worked in financial services (MasterCard, Value Line, Marco Polo XTF, Morgan Stanley, etc.) and was Adjunct Assistant Professor at NYU Center for Finance, Business, and Taxation at SCPS. Dr. Peran earned a Ph.D. in Electrical Engineering from the University of Chicago and an MBA from its Booth Business School. Email: mperan@us.ibm.com
Dr. Ben Zweig, Managing Strategy Consultant, Chief Analytics Office
Dr. Ben Zweig is a Managing Data Scientist in the IBM Chief Analytics Office. For over two years he has worked on the Workforce Analytics team and has been involved in many projects relating to the data and analytics of Human Resources. Dr. Zweig is an Adjunct Professor at NYU Stern School of Business, teaching Data Bootcamp in Python to MBAs.
Before joining IBM and NYU faculty, He worked as a quantitative analyst at an Emerging Markets Hedge Fund where he built predictive models of Sovereign default. Dr. Zweig earned a PhD in Economics from the City University of New York where he specialized in Labor Economics and Econometrics and completed a Master’s Degree in Risk Management from Queens College. Email: bzweig@us.ibm.com
4:30 – 5:00 PM
NYU
Exploring Career Paths of Knowledge Workers: SAP-Sponsored Analytic Agenda
Abstract: This presentation focuses on exploratory research into career paths of successful knowledge workers. The research reviews possible definitions of career path, knowledge worker and the meaning of success for knowledge workers. Methods for measuring knowledge work and knowledge workers will be presented. Methodological issues regarding human capital analytics utilizing statistical methodologies as well as machine learning in the exploration of career paths will be presented. Some preliminary research results of an intra-organizational study based upon six years of biweekly data from a large financial institution will be reviewed. This research is intended to provide tools and insights that (1) enable knowledge workers to make better career decisions for enhancing their success, and (2) provide organizations with strategies and tools for managing the engagement and productivity of knowledge workers more effectively.
Dr. Harold Kaufman, Professor of Management, NYU Tandon School of Engineering
See bio above
Dr. Paul Squires, Research Scientist, NYU Tandon School of Engineering
Dr. Paul Squires is a Research Scientist & Adjunct Professor in the Department of Technology Management and Innovation at the NYU Tandon School of Engineering. He teaches courses in Research Methods in Organizational Behavior & Human Capital Systems as well as Human Capital Big Data, Predictive Analytics & ROI. Dr. Squires is also a Co-Principal investigator for a research grant that is focused on developing quantitative human capital management methods for use with the career paths of knowledge workers. His expertise includes applied statistics, psychometrics, job analysis, and learning theory. Dr. Squires has published over twenty articles and book chapters on these subjects and is a long-time member of the Society of Industrial and Organizational Psychology He has provided consulting support for research with public and private organizations including the USDoL, USDoD, US Department of Agriculture, State of North Carolina, PwC, Verizon, Merrill Lynch, KPMG, Avon, Ingersoll-Rand, the New York Stock Exchange, Eaton Corporation, and GlaxoSmithKline, to name a few. . Dr. Squires earned his PhD in Educational Psychology and Measurement from Fordham University. Email: ps2937@nyu.edu
5:00 – 6:00 PM
Panel Discussion Plus Q&A with All Presenters: Where We Are & Future Directions
In this capstone session of the Conference, the key issues addressed will be summarized. The panel will focus on the potential future directions as well as the challenges that lie ahead for career path analytics and its application to winning the war for talent