Shentu recognized among the most promising real estate professionals under 40
IRVINE, Calif. – May 18, 2026 – ATTOM, the leading provider of property data, AI-powered analytics, and real estate intelligence solutions, is pleased to announce that Jay Shentu, Data QA Engineer 2, has been named to Inman’s 2026 Future Leaders in Real Estate, an annual award recognizing the most promising professionals under 40 driving meaningful change across the real estate industry.
Now in its third year, the Future Leaders program attracted more than 80 nominations from across the real estate ecosystem. Shentu was recognized in the Technology and Data category for his impact, leadership and forward-thinking contributions to the industry.
“I’m honored to receive this recognition and grateful to be part of a team that is constantly pushing innovation forward in property data,” said Jay Shentu, Data QA Engineer 2 at ATTOM. “As the industry becomes increasingly driven by data and AI, it’s critical that property intelligence is not only comprehensive, but also transparent, accurate, and actionable. I’m proud to contribute to the platforms, data infrastructure, and analytics that help organizations better access, analyze, and act on property data.”
Jay Shentu is helping shape the future of real estate data through his ability to transform complex property data systems into scalable, client-facing intelligence solutions that drive innovation across the real estate industry. As a Data QA Engineer 2 at ATTOM, Jay plays a critical role in ensuring the accuracy, transparency, and usability of ATTOM’s multi-sourced property data and AI-powered analytics covering more than 160 million U.S. properties. His work spans data engineering, quality assurance, automation, and product innovation, helping organizations make more informed real estate decisions with trusted, actionable data.
Jay has made significant contributions to ATTOM’s modernization initiatives, including helping lead the company’s transition from SQL Server to Snowflake and supporting the development of ATTOM Nexus, a platform designed to bring greater transparency and clarity to property data. His work on automated validation frameworks and completeness scoring has improved how data quality is measured, communicated, and operationalized for both internal teams and external clients. By bridging backend infrastructure with client-facing insights, Jay is helping ATTOM redefine how real estate data is delivered, understood, and trusted across the industry.
For the complete list of 2026 Future Leaders in Real Estate, visit inman.com/future-leaders-of-real-estate-awards.
About Inman
Inman is the leading news source for real estate agents, brokers, executives and technology leaders. With an audience of more than one million professionals, Inman delivers the ideas, insights and connections that drive the industry forward through its website, newsletters, events, awards, education and research.
About ATTOM
ATTOM delivers AI-driven property intelligence built on one of the nation's most trusted property data assets, covering 160 million U.S. properties—99% of the population. Our engineered, multi-sourced real estate data spans property tax, deeds, mortgages, foreclosure, environmental risk, property conditions, natural hazards, neighborhood insights, and geospatial boundaries, rigorously validated for advanced analytics. ATTOM supports analytics and AI-driven applications through flexible delivery options including APIs, bulk licensing, cloud delivery, market trend products, and the MCP Server for AI-powered, agentic access to engineered property data—enabling organizations to automate analysis and scale property intelligence across industries.
Media Contact:
Megan Hunt
megan.hunt@attomdata.com
