Justin Heller is a DataIQ advisor and was most recently Chief Data Officer at Synchrony Financial, with more than 30 years of experience working at the intersection of business processes, technology, and data-driven transformation. His career has been defined by building enterprise capabilities that strengthen governance while enabling innovation at scale.
Early roles at Citigroup and Moody’s focused on data quality, identity management, and records management, establishing a strong foundation in data governance, operational discipline, and risk management. He later moved into executive leadership, including senior roles at EY Financial Services, where he helped organizations modernize their data practices and align technology initiatives with business priorities.
At Synchrony, Justin led enterprise-wide strategies spanning data governance, privacy, analytics, and AI, ensuring these capabilities support measurable business outcomes. His work has focused on scaling solutions through lean agile delivery, automation, and responsible AI adoption to improve productivity while reducing operational and regulatory risk.
Justin’s leadership perspective is grounded in a practical belief: technology alone does not create impact. The success of data and AI initiatives depends on adoption, driven by clear communication, trusted foundations, and the ability to embed new ways of working into organizational culture. He continues to help organizations navigate digital transformation, cloud migration, and the responsible deployment of AI to deliver sustainable value.
As a data and AI leader, which traits and skills do you think matter most, and which of those have been most influential for you in your current position?
“Effective data and AI leadership requires a blend of strategic vision, technical expertise, and strong interpersonal skills. Key traits include systemic thinking such as anticipating consequences through first-order thinking, and fostering a culture that aligns data practices with organizational values and ethics. My background in Political Science, particularly Game Theory, has shaped my ability to anticipate stakeholder behaviors and design governance frameworks balancing risk and opportunity. My master’s in Interactive Telecommunications highlighted the importance of human-centered technology adoption, emphasizing communication and collaboration.
“I prioritize ongoing, open dialogue within organizations to challenge assumptions and co-create understanding. This approach embeds data stewardship and AI ethics into daily operations, ensuring responsible innovation.
“In my organization, the most influential traits have been transparency, proactive risk management, and agility. Promoting these values has fostered trust, compliance, and successful AI adoption, driving sustainable, data-driven transformation.”
Reflecting on your career, what is one non-traditional piece of advice (outside of technical skills) you would give to an aspiring data or AI leader aiming for the C-suite?
“One non-traditional piece of advice I would offer aspiring data or AI leaders aiming for the C-suite is to recognize that perfection is the enemy of progress. In today’s fast-paced environment, speed is the new intellectual property and delivering timely, relevant insights often outweighs perfect accuracy.
“I view ROI not just as Return on Investment, but as the Relevance of Information, emphasizing that leadership focus should center on the business outcomes achieved (the what and the why) rather than getting lost in the technical how or capabilities.
“Finally, mature organizations succeed by embedding ongoing processes and programs rather than relying on finite projects. This shift fosters sustained impact and agility essential for long-term value and transformation.”