This week's Leadership Moves: W. R. Berkley, Truist, and PENN Entertainment. Updated 7:30 AM EDT, October 30, 2026 CDO Magazine's weekly Leadership Moves roundup highlights key executive appointments and organizational changes across data, analytics, technology, and artificial intelligence. Each week, we track the executives taking on leadership roles including Chief Data Officer (CDO), Chief AI Officer, Chief Information and Digital Officer, and other enterprise technology positions across major global organizations. For the week of October 26, highlighted in this edition, we feature key leadership updates at W. R. Berkley, Truist, and PENN Entertainment, alongside several other notable appointments recently spotlighted on CDO Magazine. This week's featured moves: W.R. Berkley Corporation has appointed Kalyani Sekar Senior Vice President of AI & Technology. Sekar joins W. R. Berkley from Verizon, where she served as Senior Vice President and Chief Data & AI Officer leading enterprise-wide AI transformation, scaling AI platforms, and building global technology centers. In her new role, she will lead technology strategy, architecture, and enablement for embedding AI-driven automation into enterprise processes and systems. ThoughtSpot has elevated James Belsey to Field Chief Data and AI Officer. Belsey brings more than 25 years of data and analytics experience, having previously served as Director of Solutions Engineering, APJ at ThoughtSpot, as well as Presales Director for ANZ at Qlik and solutions architecture roles at SAP BusinessObjects. In his executive role, he will drive strategic customer engagements and help organizations leverage AI-assisted analytics and self-service visualization. PENN Entertainment has appointed Gary Hunter Chief Information Security Officer. Hunter brings deep cybersecurity leadership experience across entertainment, retail, and travel, having served as CISO at REI, Executive Director and Information Security Officer at The Walt Disney Company, and Director of Security Engineering at Expedia. He will shape the next chapter of PENN Entertainment's cybersecurity journey across its gaming, digital, and entertainment footprint. The Agency for Healthcare Research and Quality (AHRQ) has named Gil Alterovitz its inaugural Chief Super Intelligence Officer, a role he holds alongside his position as Chief Data Officer (CDO). Alterovitz is an Associate Professor at Harvard Medical School and previously served as Chief AI Officer for the VA/VHA, where he founded the National Artificial Intelligence Institute, and as Chief AI Officer at the NIH. In his dual role, he will lead efforts to develop super intelligence for evidence and data to improve health outcomes. Truist has named Tim Brophy Chief Data and Governance Officer. Brophy previously served as Chief Data Risk Officer at Truist and spent nearly seven years at JPMorganChase in technology and data protection risk leadership roles, following 17 years at Verizon Enterprise Solutions. In his expanded role, he will focus on ensuring trusted, well-governed data to support client services, strengthen operations, and provide a strong foundation for responsible AI adoption.

ThoughtSpot named a Leader in the 2026 Nucleus Research Embedded Analytics Technology Value Matrix; earns top billing among all 20 vendors evaluated. Recognized for market-leading AI innovations including Spotter, Model Context Protocol (MCP) integration, and native mobile embedding that empower product teams to deliver governed, customizable analytics directly into every application. October 27, 2026 10:00 ET | Source: ThoughtSpot MOUNTAIN VIEW, Calif., Oct. 27, 2026 (GLOBE NEWSWIRE) - ThoughtSpot, the Data and AI platform company, has been named a Leader in the 2026 Nucleus Research Embedded Analytics Technology Value Matrix, achieving the highest position for usability among evaluated vendors and positioning furthest toward the upper-right corner of the Leaders quadrant. Nucleus Research evaluated vendors based on usability and functionality, highlighting ThoughtSpot's ability to help product teams effortlessly embed AI-driven, highly customizable analytics into web and native mobile applications while maintaining rigorous governance. "As end users start asking questions through AI assistants as well as dashboards, insight, consistency and distribution become the core buying criterions. ThoughtSpot answers from one governed semantic model, reuses the definitions teams already keep in their cloud data platform, and carries those answers into assistants like Claude and ChatGPT through MCP. Because every Liveboard, Spotter conversation, and AI assistant query runs on the same semantic model and Org boundaries, providers add a new surface without rebuilding security, which earns ThoughtSpot its leader position," said Alex Wurm, Principal Analyst at Nucleus Research. As software providers evolve beyond traditional dashboards to conversational AI and agentic experiences, embedded analytics is becoming a critical component of product differentiation. ThoughtSpot Embedded helps product teams bring interactive dashboards, natural-language analytics, and AI agent capabilities directly into their applications, supported by a shared governed semantic foundation. This approach enables software providers to deliver consistent, secure insights across multiple experiences without rebuilding their data definitions and security architecture for every interface. What Sets ThoughtSpot as an Embedded Analytics Leader ThoughtSpot Embedded lets product teams embed interactive Liveboards, Spotter, ThoughtSpot's AI analyst, and contextual Spotter Agents directly inside their host applications. SDKs cover the web, native iOS and Android, and hybrid frameworks such as Capacitor and Ionic, so analytics feels fully native wherever customers use the product. Teams can brand every component to match their own look and domain, and the AI Theme Builder lets them do it by describing a style or uploading brand assets instead of writing style code. More than 100 connectors to business apps such as Salesforce, Slack, and Jira bring that context into the same experience. Beneath it all, Nucleus Research highlighted the following capabilities: * One governed foundation for every surface: Dashboards, Spotter conversations, and AI assistant queries all answer from a single governed semantic model, and teams can reuse the definitions they already keep in Snowflake, Databricks, and dbt. Orgs give each customer an isolated space, and row- and column-level security limit every user to the data they're permitted to see. Every new surface, from in-app chat to native mobile to AI assistants, inherits the same boundaries. * Multi-tenancy that scales with the customer base: The publishing feature lets teams build content once and publish it to every customer, with tenant-specific settings and connection values applied through parameters. Spotter coaching carries across tenants, and stricter isolation keeps each customer's sign-in setup separate. * An AI analyst inside your product, with AI-augmented dashboards: With Spotter 3, end customers can ask questions in natural language, drill into any result at any level, and act on what they find without leaving the host application. Spotter Memory learns from past conversations and Liveboards, so Spotter applies the organization's own definitions, personalized to each user, without being told each time. Through Spotter Connectors and file uploads, users can analyze data from other business applications and their own files alongside governed data in a single answer. SpotterViz builds a dashboard from a prompt, including filters and scheduled deliveries, and Insight Tiles add dynamic summaries that update as users filter. These enhancements drive adoption and open new revenue-generating opportunities for ThoughtSpot Embedded customers. * Agentic AI, MCP, and agent-to-agent orchestration support: Through MCP, AI assistants and custom agents such as Claude and ChatGPT can query governed ThoughtSpot data, with the same semantic model and security behind every answer. Expanded Spotter APIs, covering conversation management, instructions, and agent-to-agent orchestration, let developers control embedded Spotter or embed its analytics skills into agents of their own. * Built for how engineering teams work: Analytic content, data models and connections live as code in TML with GitHub integration, so analytics follows the same release process as the rest of the product. SpotterCode builds embeds from developers' own coding tools, and Muze Studio provides code-level control over individual charts. Product builders shouldn't have to spend scarce engineering time maintaining a semantic layer, security, and multi-tenancy that don't set their product apart. By taking that on, we help them go to market faster with agentic SDLC, stay focused on their roadmap, and create new revenue streams from agentic capabilities that are part of their product as opposed to bolted on," said Bhargav Addala, SVP Product Management at ThoughtSpot. "This recognition from Nucleus Research reflects the work we have done alongside customers like Verisk, Navan and Thrive Learning, and we look forward to continuing to be an innovation partner in helping industry leaders power their intelligent experiences. To read the report and learn why Nucleus Research recognized ThoughtSpot as a market leader, visit us here. To explore ThoughtSpot Embedded, visit us here. About ThoughtSpot ThoughtSpot is a Data and AI platform company. Our mission is to create a more fact-driven world. Built on an agentic semantic layer and enterprise-grade governance, ThoughtSpot Agentic Analytics brings together a team of specialized agents that deliver trusted answers and take action on business data. ThoughtSpot Embedded brings the same agent-powered analytics into any product with a few lines of code. With AgentSpot, ThoughtSpot brings Multiplayer AI to the enterprise, where anyone can build agents, workflows and apps grounded in business data and share them across the organization. Industry leaders including Lyft, Unilever, Roche, Schneider Electric, Booking.com and HubSpot rely on ThoughtSpot to turn data into measurable business outcomes. A Gartner MQ leader with more than 1000 customers globally, with offices in San Francisco, Mountain View, Chicago, London, Bangalore, Hyderabad, Trivandrum, Sydney & Tokyo. Try ThoughtSpot today. About Nucleus Research Nucleus Research delivers value-focused research and advisory support that helps organizations select the best technology for their specific environment. Our data-driven approach builds on hundreds of real-world ROI case studies to provide clear business cases and confident, ROI-based investment decisions. For more information, visit Nucleus Research.