SUMmary
Consultant and author Christine Haskell helps organizations understand the human skills needed for effective Data Skills are the critical lever enabling the social circuitry of organizations.
Location:
United States
State:
Seattle
Gender:
Female, She/Her
Available For:
Remote or Face-to-face interviews, podcasts, panel discussions, or panel moderation
ABOUT ME
Bio: 50-word
Christine Haskell, Ph.D., is a collaborative advisor and educator with nearly three decades of experience in the technology industry. At Microsoft, she pioneered Big Data and Cloud Computing initiatives, helping lay the groundwork for early AI strategy. Her research focuses on values-based leadership, data governance and ethics, and teaches graduate courses at Washington State University and the University of Southern California.
Bio: 100 word
Christine Haskell, Ph.D., is a collaborative advisor, educator, and author with nearly three decades of experience in the technology industry. As a key leader at Microsoft in the early 2000s, she drove the company's transition to Big Data and Cloud Computing, later developing predictive data solutions that shaped early AI strategy. Her research focuses on values-based leadership, data governance, and ethics, emphasizing data skills as a critical enabler of organizational success. Dr. Haskell teaches graduate courses in innovation, information management, and project management at Washington State University and the University of Southern California.
BIO: 150-word
Christine Haskell, Ph.D., is a collaborative advisor, educator, and author with nearly three decades of experience in technology and information management. At Microsoft in the early 2000s, she led groundbreaking initiatives in Big Data and Cloud Computing, later developing predictive data solutions that helped establish the foundation for the company's AI strategy. Her research focuses on values-based leadership, data governance and ethics, and the critical role of data skills in enabling organizational success.
Dr. Haskell combines expertise in information management with applied behavioral science to deliver unique insights to data professionals. She teaches graduate courses in innovation, information management, and database systems at Washington State University’s Carson School of Business and project management at the University of Southern California MSAII program. She is a visiting lecturer at the University of Washington’s iSchool. Certified in project management, change management, and executive coaching, she helps leaders and teams realize the full potential of their data and analytics capabilities through her consulting work and latest book, Driving Data Projects: A comprehensive guide.
Topics I Can Discuss:
Driving Self-Awareness, Driving Results Through Others, Principles of Success, Making Data Projects Work, Importance of Ambidexterity/Adaptability, Ruthless Prioritization, Developing Systems for Consistency, Cultivating Collaboration, Cultivating Partnership Ecologies, Data Translation, Data Governance (and AI), Data Strategy (and AI), Data Skills/Human Skills, Data as an extension of a DEI strategy
10 Interview Questions You Can Ask Me
Anticipating resistance (table stakes for any transformation)
Why your data initiative might be telling the wrong story (measuring ROI)
The evolution of data culture - and the roles of the CDO-CHRO-CIO
The subtle art of cultivating beginner’s mind. Why we don’t ask “why” more often? The deceptive simplicity of asking “why.” (data culture, old HR systems/incentives)
CDOs must cultivate an ecosystem - no longer hierarchical
Describing data consumption to anyone (marketplace metaphor)
Data Literacy
Insurance:
Cyber
Protecting Data as Business Imperative
Data Quality
Monocropping Teams - to code or not to code
What are the most common mistakes data professionals make when delivering results?
What are the hidden costs of miscommunication between business and analytic teams?
What happens when business and technology teams lack trust?
When should we use the 5Whys v Simon Sinek’s Golden Circle “Why” — and why? :-) (interpersonal awareness, storytelling)
What common traps do business leaders fall into, and how can they avoid them?
What is a data translator, and why does your organization need one?
Why do over 80% of data projects fail?
How can we create a governance forum that truly engages and motivates the stakeholder group?
Why we need to tell a more holistic data story (and why only valuing data teams on cost reduction undervalues them).
What is an ordinary, overlooked skill that causes data projects to fail?
BONUS: Should CDOs know how to code?