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cover of episode A Third Path to Talent Development: Delta’s Michelle McCrackin

A Third Path to Talent Development: Delta’s Michelle McCrackin

2023/3/14
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Me, Myself, and AI

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Michelle McCrackin:达美航空公司创建了Delta Analytics Academy(DAA)项目,旨在为一线员工提供职业发展路径,将他们培养成数据分析人才。该项目为期九个月,学员可以边工作边学习数据分析,最终过渡到全职分析岗位。第一学期由佐治亚州立大学教授数据基础知识,第二学期Delta的分析学习与发展团队教授如何将数据应用于Delta航空公司的实际业务中,例如分析航班准点率。第三学期学员将进行全职分析实习,并将获得正常薪酬。项目第一期共有750份申请,最终录取24名学员,分两批进行培训,且100%的学员都获得了全职职位。DAA项目的创建是为了满足一线员工对数据分析技能培训的需求,并为公司内部培养数据分析人才。项目选拔学员主要考察他们对流程改进的热情和数据分析的兴趣,包括数据好奇心。DAA项目是公司补充外部招聘和大学招聘的第三种人才培养途径,旨在解决公司内部数据分析人才竞争激烈的问题,并拓宽人才库。Delta航空公司对数据分析人才的需求日益增长,传统的招聘策略已无法满足需求,DAA项目帮助公司拓宽人才渠道。DAA项目的实习项目侧重于实际业务问题的解决,例如减少飞机周转时间、开发应用程序等。在DAA项目第二学期,增加了更多主题专家与学员交流,并结合具体的学习内容进行强化。Michelle McCrackin最初是Delta航空公司的人力资源业务伙伴,后因公司对数据分析人才的需求而转型领导分析学习与发展团队。DAA项目第一期所有学员都获得了全职职位,这改变了学员的生活。Delta Data University项目包含三个支柱:Pivot(Delta Analytics Academy)、Accelerate和Enrich,旨在提升公司数据分析能力。Delta航空公司的人才战略包括内部培养和外部招聘,DAA项目旨在提高员工保留率。Delta Data University项目的Accelerate支柱旨在为公司内部数据分析人才提供持续的学习和发展机会。Delta航空公司位于亚特兰大,人才市场竞争激烈,DAA项目有助于公司保持竞争力。Michelle McCrackin最引以为豪的是成功启动DAA项目并为学员提供就业机会。在应用人工智能时,需要考虑意外事件和灾难性事件的影响。Michelle McCrackin希望未来人工智能能够消除数据偏差。 Sam Ransbotham: 对Michelle McCrackin的项目表示赞赏,认为这是一个可以为其他组织提供借鉴的成功案例。 Shervin Khodabandeh: 与Sam Ransbotham一起主持访谈,并就相关话题进行讨论。

Deep Dive

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Delta's Analytics Academy, in partnership with Georgia State University, offers a nine-month program allowing frontline employees to learn analytics part-time and transition into full-time analytics roles. The program includes foundational data training, application of analytics at Delta, and a full-time internship.

Shownotes Transcript

Michelle McCrackin, senior manager of analytics learning and development at Delta Air Lines, never imagined that she’d be an analytics leader when she first joined the airline as an HR business partner. But, faced with the challenge of hiring outside analytics talent, she proposed a solution that would change her career path along with the paths of other Delta employees: an internal analytics training program. Delta Analytics Academy (DAA) enables front-line employees to gain in-demand tech skills and the opportunity to advance within the organization. In December 2022, DAA graduated its first cohort of 12 students, selected from a pool of 750 applicants that included gate agents, baggage handlers, flight attendants, and other operational experts interested in learning how data and analytics can be applied to process-improvement challenges. 

In this episode, Michelle joins Sam and Shervin to discuss how the program, started in partnership with Georgia State University, fits into the airline’s talent development and retention strategy. Read the episode transcript here).

*Me, Myself, and AI *is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Sophie Rüdinger.

Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders) or by following Me, Myself, and AI on LinkedIn).

Guest bio:

Michelle McCrackin is a strategy and analytics leader with over 13 years of experience in the corporate space. She worked in the consumer packaged goods and automotive industries before moving into the field of aviation, where she is currently senior manager of analytics, learning, and development at Delta Air Lines. McCrackin’s passion for raising the analytics capability across the operations and commercial functions at Delta is exhibited in creation and development of Delta Analytics Academy (DAA), a program with the objective of producing an internal talent pipeline and closing the talent gap within the analytics skill set. DAA was developed in partnership with Georgia State University based on the hypothesis that taking an industry expert and providing them with a wraparound analytics education in a condensed format would produce top-performing analytics professionals.

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