GM’s Iwao Fusillo on Recruiting Top Talent and Building a Successful Data Literacy Strategy
The Data Chief
Discussion on the Growth and Overlap of the AI Community within the Data Community
In this chapter, the hosts discuss the overlap between the AI and data communities, as well as the decision to host an AI summit to attract more participants. They also mention the executive sponsors for the summit and emphasize the presence of IT professionals in both communities.
For years, businesses have prioritized academic background and domain expertise when searching for top talent, matching current skills to job reqs with little regard for candidate aptitude. But according to Iwao Fusillo, Chief Data and Analytics Officer at General Motors, this is an outdated strategy. Iwao has led and developed data and analytics teams across multiple verticals, including finance and sports. In his experience, the secret to building successful and diverse teams is assessing passion, too.
Fusillo, a data and analytics veteran with prior stops in the NFL and American Express, now leads GM’s program for enterprise-wide analytics and data science. In this episode of the Data Chief, Iwao joins Cindi to discuss how data and analytics are fueling the future of General Motors, advice for structuring and scaling data teams, and how GM’s newly founded data and analytics academy is fostering data literacy across the organization.
Key Takeaways
- Presentation is key: As data and analytics professionals, one of the most important skills you can develop is how to speak the language of the business. This means presenting data stories in a business-friendly way so that non-technical stakeholders start to build trust in data programs, not fear or confusion.
- The best talent is both skilled and passionate: If you’re only evaluating candidates based on a bulleted list of current skills and past experience, you’re very likely missing out on great talent. Don’t discount a desire to learn and passion for your product or industry.
- AI requires a hands-on approach: While AI and machine learning offer many opportunities for improved business operations, they can pose great risk if left unsupervised. Responsible use of these technologies means paying attention to data quality and acting quickly when biases are identified.
Key Quotes
“It's such a unique time to be in the automotive industry because automotive and tech are coming together. As I sit here today, as GM's Chief Data and Analytics Officer, I really do feel that data and analytics are fueling GM's future, our all-electric, zero-emissions future, and being responsible for a program of enterprise-wide analytics, top-tier data science capabilities in an industry that I've got such passion about is big for me.”
“As analytics mature over the next decade, as A.I. continues to mature over the next couple of decades, Chief Data Officers, Chief Analytics Officers will in fact be tapped more for CEO positions and independent board positions. Many more functions will be led by data-savvy, senior executives.”
“Passion, when it comes to data, [data] literacy is really important. That's why we put the GM analytics academy course out there, to not only build the literacy itself but just the passion in having a core competency around analyzing and presenting data in a compelling way to make decisions.”
“I am seeing a rapid uptake here at General Motors in data and analytics being a part of that strategic story, data, and analytics, being a part of every person in every function and how they think about it and how, how they think about advancing their function.”
“There's domain expertise, and I think having great math and science skills are important, but they're not a full package. You don’t have to have math and science, or you have to have transferable skills, yes. I would say, I would take the passionate person who I could drop into a textile mill in the middle of the Midwest somewhere. And that person will figure it out. I'd rather have that than the person with the exact academic background.”
“Some of the attributes we teach in the analytics academy are speaking in the vernacular of the business. How do we talk about data concepts from descriptive analytics to predictive analytics? How do we talk about those concepts in a business-friendly way?”
Bio:
Iwao Fusillo joined General Motors as Chief Data and Analytics Officer in January 2021. Reporting to the Head of Innovation & Growth for GM, Iwao is responsible for driving GM’s program for enterprise-wide analytics and data science capabilities. He leads the end-to-end data lifecycle and establishes business processes for best-in-class data strategy, architecture, governance and democratization. Acting as GM’s data evangelist, he ensures that GM’s 1,300+ data analytic professionals use a value-based approach to defining workstream priorities and serves as a trusted business advisor to senior management and various stakeholders to identify strategic analytics opportunities with transformative value creation potential.
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The Data Chief is presented by our friends at ThoughtSpot. Searching through your company’s data for insights doesn’t have to be complicated. With ThoughtSpot, anyone in your organization can easily answer their own data questions, find the facts, and make better, faster decisions. Learn more at thoughtspot.com.
Hear more from Cindi Howson here. Sponsored by ThoughtSpot.
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