In Bill’s roles as Chief Analytics Officer for both Teradata and The Int'l Institute For Analytics, he was lucky enough to meet with analytics executives in hundreds of large companies around the world. Now with Kennesaw State U's School of Data Science and Analytics, he interviews executives he’s met to learn about how their careers unfolded, what skills they look for when hiring, what trends they think are coming next, and more! If you want an inside view into what some of today’s top data science names are thinking about, this series is for you! Video versions here: https://bit.ly/3jiMPKp
We’ll finish this “best of” season of Data Science Perspectives with advice for students from a range of executives. You’ll hear about the importance of gaining a breadth of experience, not being afraid to try new things and take some risks, doing what’s right for you, the importance of soft skills and communication, the need to remember that a career is a long game, and more.#analytics #datascience #leadership #machinelearning #ai #artificialintelligence #jobs #interviewing #students
What skills are companies looking for? Spoiler alert … the answers may surprise you! This episode features guests discussing what it takes to be a winning candidate for their data science and analytics job openings. The answers may not be what you expect!You’ll hear about why technical skills are table stakes, how soft skills and communication are critical, the importance of authenticity and integrity, the need to be flexible and adaptable, and many repeated references to soft skills, among others.#analytics #datascience #leadership #machinelearning #ai #artificialintelligence #jobs #hiring #interviewing
Leadership is always a topic worthy of discussion, and this week’s “best of” episode of Data Science Perspectives features a variety of past guests discussing their viewpoints on leadership. You’ll hear about how to motivate teams, how to capitalize on leaders’ excitement, managing up and across, focusing on scale and execution, and more.#analytics #datascience #leadership #machinelearning #ai #artificialintelligence
This week’s “best of” episode of Data Science Perspectives features a variety of past guests discussing the similarities and differences between different industries or business functions. You’ll hear about how scaling is a challenge across the board, why infrastructure is always a challenge, how different industries change at different paces, the universal need for change management, the importance of deciding if you want to go deep in one industry or spread across several, and more.#analytics #datascience #leadership #machinelearning #ai #artificialintelligence
This week’s “best of” episode of Data Science Perspectives features a variety of past guests discussing what they wish someone had told them before they started working. You’ll hear about the importance of relationships, the need to balance business considerations and constraints with analytical power, the need to manage up, how technical skills aren’t enough, and more.#analytics #datascience #leadership #machinelearning #ai #artificialintelligence #success
This Season of Data Science Perspectives will feature a “best of” approach where I’ve selected a sampling of past guests and their response to the same question. This will provide listeners with multiple viewpoints on one critical topic.This week’s episode of Data Science Perspectives features a variety of past guests discussing what traits they believe most contributed to their success over the years.You’ll hear about the importance of soft skills, the need to focus on how sponsors can use your results, why a consultative approach is key, how data storytelling is a must, why fast solutions beat perfect solutions, and more.#analytics #datascience #leadership #machinelearning #ai #artificialintelligence #success
A discussion with David Sommers, Senior VP of Analytics, Epsilon. He has held prior roles at Cox Automotive, Advance Auto Parts, Nationwide Insurance, Bank of America, Wells Fargo, Best Buy.He talks about how he transformed from a pre-dental undergrad into an analytics executive. He outlines how he watched customer analytics evolve to include digital channels and detailed customer journey analytics. Most importantly, he talks about how technical skills aren’t enough to succeed but also how people from nontraditional backgrounds can transition to a career in data science if they focus on building their skills. We also discuss the (hopefully!) obvious reasons why it is bad to use words like heteroscedasticity in a business setting.#analytics #datascience #leadership #machinelearning #ai #artificialintelligence #Epsilon #CoxAutomotive #AdvanceAutoParts #NationwideInsurance #BankofAmerica #WellsFargo #BestBuy
A discussion with Dwight Specht, Vice President, Digital Transformation & Strategy at Bridgestone Americas, the US division of the global tire and automotive corporation. He has held prior roles at North Highland, I.B.I.S., and ePartners.
He talks about the types of analytical consulting and how they have evolved over the years, as well as how client engagements have changed. He discusses his love for reading and how it keeps him up to date, as well as how he views early career years as focusing on being a craftsman and later years focusing on leading other craftsmen. He also discusses what he's learned since moving to the client side for the first time.
A discussion with Keyur Desai, former Chief Data Officer, TD Ameritrade. He has held other roles at Teradata, MicroStrategy, Attensity, Informatica, and Herbalife Nutrition.He talks about the challenges in building the first enterprise reporting tool from a small start up to a global, publicly traded company – all without venture capital funding. He also outlines how he looks for the ability to communicate and motivate when he hires. You don’t want to miss his description of how, after growing up in central Africa, he sees things happening there now that remind him of the early days of Silicon Valley. That’s what motivates him to put time and money into charities that help fund innovation in that part of the world. #analytics #datascience #leadership #machinelearning #ai #artificialintelligence #TDAmeritrade #Teradata #Microstrategy #Attensity #informatica
A discussion with Melanie Murphy, Chief Analytics Officer at Fluent. Fluent helps companies acquire and retain customers across the entire omnichannel marketing experience. She has held prior roles at Bed Bath & Beyond, Mindtree, and Experian.She talks about learning to manage 120 people while still in school and how she came to focus on scaling marketing analytics to an enterprise level. She outlines why EQ and soft skills are so important to career success, as well as how she coaches her team members to develop these skills. Her comments on how she uses the open space in her calendar is worth a listen for anyone struggling with balancing a busy calendar and back to office activities.#analytics #datascience #leadership #machinelearning #ai #artificialintelligence #Fluent #Mindtree #Experian #BethBathAndBeyond
A discussion with Kathleen Maley, Vice President, Analytics, Experian. She has held prior roles at Bank of America, Key Bank, and her own consulting firm.
Kathleen talks about her view of math versus statistics and how she became a math teacher to start her career. We discuss how great it is for analytics teams to have a seat at the table these days and she outlines her philosophy of helping business partners become data informed instead of data driven. She ends with some advice to students and early career professionals related to the importance of soft skills.
A discussion with Chris Donovan, EVP, Chief Data and Information Officer at Medical Mutual. Medical Mutual is a multi-billion-dollar health insurer in Ohio. Previously, Chris spent several decades in various roles at the world-famous Cleveland Clinic.
He talks about what he focused on as he advanced in his career and why he never lets himself worry more about his next job than his current one. He talks about the growing acceptance of analytics supporting medical decisions and how it can make healthcare more efficient. He also outlines what he means when he says that you must be trustworthy if you want to gain people’s trust. He finishes with a nod to emerging technologies.
A discussion with Joe DeCosmo, Chief Analytics and Technology Officer, Enova International. Joe spent time in the direct marketing industry before starting and running his own company for 10 years. He then stayed with The Allant Group, who bought his company, for six years before his move to Enova.
He talks about how he met his goal of starting his own business before he turned 30, how being in a heavily regulated industry requires lots of documentation and discipline, some things he thinks people early in their career should put above money, why he craves white space in his calendar, the rise of model ops, and more.
A discussion with Satish Padiyar, Divisional VP of Data & Analytics, Health Care Service Corporation (HCSC). HCSC is a $50B member of the Blue Cross Blue Shield family. He has held prior roles at McKesson, Ally Financial, Caterpillar, and BMC Software.
He talks about the commonality he’s seen in the fundamentals of data and analytics across industries, the advancements in operationalizing and automating analytics, why he thinks his efforts to acquire various certifications helped make him a better leader, how building a career requires some leaps of faith, and more.
A discussion with Don Vu, Chief Data Officer, @Northwestern Mutual. Don has had a wide-ranging career including many years with Major League Baseball, as well as roles with WeWork, Atari, and his own ecommerce company.
He talks about how running his web business taught him how to be scrappy, entrepreneurial, and just get anything done that needs done. He discusses how Northwester Mutual is disrupting itself, and also about the different types of analytics happening in sports, how MLB Advanced Media’s streaming platform came to be the engine driving many of today’s major streaming sites, and why he thinks EQ and communication skills are so important.
A discussion with Frances Boykin, Director, Advanced Analytics, AT&T. She has held multiple roles in different parts of AT&T over nearly 2 decades, including in IT, supply chain, and marketing.
She talks about how she learned what she wanted to do for a living at age 13 (!!??), how growing up as an “Army brat” influenced her, the importance of networking and being prepared to grab opportunities that arise, how she planned her time to complete degrees while working, and why autoML tools are both here to stay and a good thing.
A discussion with Scott Radcliffe, Managing Director, Master of Science in Business Analytics (MSBA) Program, Emory University. Prior roles at Cox Communications, SAS, IBM, and Home Depot.
He talks about the depth and complexity of the operational analytics helping drive content delivery services like cable TV and streaming services, why he look at business as a system of processes, how students should focus on gaining skills and not just a specific job or company, and how he ended up transitioning to a university.
A discussion with Erika McBride, Group VP Data & Analytics, Tenerity. Also prior roles at Dow and Paychex.
She talks about how she got herself into analytics translator roles early, how her team drew in business users with internal poster events and Shark Tank-style contests, understanding the analytical maturity level of business leaders so you can meet them where they are, and why she manages her team like a classroom.
A discussion with Amelia Mink, Founder & CEO, Data Science Connect. She also had prior roles at Northside Hospital, PSA Healthcare, and Juice Analytics.
She talks about how she got into data science, a great story of her friends thinking a "data-scientist" event was a "date-a-scientist" event, and the challenges of scaling an online community during COVID.
A discussion with Colin Coleman, Chief Data & Analytics Officer, Inspire Brands. Also prior roles at Turner, Equifax, and NASA.
He talks about how his engineering background helped him focus on real world problems, why his views his team as his customers, and how everyone's objective function changes as their career progresses.
A discussion with Alex Vayner, Managing Director, Data Science & AI, KPMG. Also prior roles at Capgemini, PWC, Booz Allen Hamilton, and Equifax
He talks about getting comfortable with being uncomfortable, how structured thinking has helped his career, and why EQ needs more focus relative to IQ in data science
A discussion with John Carter, Director, Analytics Strategy, UC Davis. Also prior roles at Charles Schwab, Equifax, and Acxiom
He talks about finding your passion and how it is ok to switch directions in your career, focusing solidly on business partners' priorities and not just your own, and ensuring that your processes are deployable
A discussion with Ken Viciana, VP Global Data & Analytics Products, TSYS. Also prior roles at Fiserv, Equifax, and Suntrust (now Truist)
He talks about the shift from internally focused data efforts to externally monetizing data, the importance or relationship building, and how social networking can help a career
A discussion with Mano Mannoochahr, Chief Data & Analytics Officer, Travelers. Also prior roles at GE and John Deere
He talks about his early work in applying neural nets to sensor data (before the AI boom!), choosing the right business allies, and how AI has helped to revolutionize how disaster claims are evaluated and paid
A discussion with Wes Chaar, Chief Data & Analytics Officer at Fyllo. Former Catalina, Turner Broadcasting, and Delta Airlines
A discussion with Rasmus Wegener, Senior Partner, Bain & Company. #analytics #datascience #leadership #machinelearning #ai #artificialintelligence #bain #consulting
A discussion with Anne Robinson, Chief Strategy Officer, Kinaxis. Also prior roles at Verizon and Cisco #analytics #datascience #leadership #machinelearning #ai #artificialintelligence #kinaxis #cisco #verizon
A discussion with Melinda Borrero, Director, Enterprise Analytics Consulting, Chick-fil-A. Also prior roles at Ipsos, Kantar, and GFK #analytics #datascience #leadership #machinelearning #ai #artificialintelligence #chickfila #chick-fil-a #ipsos #kantar #GFK
A discussion with Craig Brabec, Chief Data & Analytics Officer, McDonald's. Former executive roles at Ford, McKesson, Caterpillar. #analytics #datascience #leadership #machinelearning #ai #artificialintelligence #McDonalds #McKesson #Ford #Caterpillar
A discussion with Mike Stefanick, Managing Director, EY. Former executive roles at SAS, IBM, and Equifax. #analytics #datascience #leadership #machinelearning #ai #artificialintelligence #EY #SAS #IBM #Equifax
A discussion with Cheryl Pressley, Data & Analytics Manager, Southern Company
A discussion with Rod Bates, Managing Director, Consumer Markets Data & Analytics, PWC
A discussion with Bernie Smith, Founder & CEO, The Institute For Clever Stuff and former head of analytics for Sainsbury's in the UK
A discussion with Warren Hearnes, Fmr SVP Analytics & Data Science, Cardlytics and now VP and Head of Data Science at Best Buy
A discussion with Rachel Stuve, Senior Director of Data Science and AI, Anthem
A discussion with Peter Maynard, SVP, Data & Analytics, Equifax
A discussion with Kathy Koontz, Principal, Platform Strategies, Amazon Web Services (AWS)
A discussion with Brad Henderson, Vice President of Data & Analytics, Roark Capital Group
A discussion with Eric Weber, Head of Data Products, Yelp
A discussion with Linda Burtch, Founder and Managing Director at Burtch Works
A discussion with Taylor Horton, Senior Director of Data Science at Cox Automotive
A discussion with Christine Joy, Vice President of Business Analytics at Comcast
An interview with internationally recognized thought leader and best selling author Tom Davenport
A discussion with Eric Schmidt, Global Director, Data & Analytics at The Coca-Cola Company
A discussion with Khalifeh Al Jadda, the Director of Data Science at The Home Depot and founder of the Southern Data Science Conference
A discussion with Russ Pierce, VP of Marketing Effectiveness at InterContinental Hotels Group (IHG)
An interview with Ameet Shetty, the Chief Data Officer of Pilot Flying J and former Chief Data & Analytics Officer for Suntrust (now Truist)
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A discussion with Tim Berryman, VP of Decision Analytics at Georgia Pacific