How High Performing Data Teams Can Be Ethically Strong Too with Alanna Val-Hackett of TripleLift
August 7, 2025
Transforming one’s business with AI while maintaining that human element is the balance everyone’s struggling with. But what if the answer’s hidden in plain sight? In this episode of Bringing Data and AI to Life, host and VP of Data Governance and Data Integration Solution Sales at Informatica, Amy Horowitz sits down with Alanna Val Hackett, Manager of Data Solutions at TripleLift, to explore the evolution of modern data teams, effective data-driven product management, and practical AI implementation strategies.
Tune in for valuable insights on how to balance automation with human expertise, develop junior talent effectively, and create a documentation culture that empowers self-service analytics. The only data teams that will win are the ones who keep ethical considerations at the forefront.
Transforming one’s business with AI while maintaining that human element is the balance everyone’s struggling with. But what if the answer’s hidden in plain sight? In this episode of Bringing Data and AI to Life, host and VP of Data Governance and Data Integration Solution Sales at Informatica, Amy Horowitz sits down with Alanna Val Hackett, Manager of Data Solutions at TripleLift, to explore the evolution of modern data teams, effective data-driven product management, and practical AI implementation strategies.
What You’ll Learn
- How to transition into data leadership through strategic career progression and agile methodologies
- The data requirements for ensuring business and technical alignment in product development
- Why dedicated data product managers are essential for driving data-driven decision making
- How to implement proactive cost optimization through data warehouse monitoring and micro-batch processing
- The principle of Human-AI balance for keeping AI focused on automation while preserving human creativity
- How to retain top data talent through strategic exposure and professional development opportunities
- Why documentation and end-user empathy are crucial for successful data and AI initiatives
- The importance of maintaining junior developer growth opportunities in an AI-enhanced workplace
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