Strategic Account Executive in United States

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior Director, Data Advisory Services (DAS) plays a critical role within Advisory, partnering closely with the broader D&B Sales organization as well as the Analytics Advisory and Solution Architecture teams to demonstrate the value of D&B Data and Insights in solving complex business challenges for both existing clients and new logo prospects. The Senior Director, Data Advisory Services is deeply passionate about data and exemplifies Dun & Bradstreet’s core objectives: honoring the client, stewarding our data, protecting and growing the franchise, developing new insights, and investing in our people. With extensive experience leading enterprise‑scale data management initiatives, the DAS Leader focuses on coaching and mentoring Data Advisors to design, standardize, and scale high‑impact service blocks that clearly articulate and deliver the value of D&B data across diverse customer use cases. In close partnership with the Analytics Advisory Leader, this role helps shape a progressive consultative strategy that creates expansion opportunities for Advanced Analytics sales. The DAS Leader guides the team in building automated and agentic solutions to deliver Data Advisory Services at scale, including data stewardship, matching and identity strategies, hierarchy activation, evaluation of new data solutions, industry best‑practice development, and global data education initiatives. This role is responsible for driving consistency, quality, and repeat

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Build the future of data. Join the Snowflake team. The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their machine learning and deep learning workloads to Snowflake. Our customers want to build powerful models with the ever-increasing data in Snowflake but face several challenges including infrastructure optimizations, orchestration, performance, and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure, and enable end-to-end ML workflows. We are on an early journey to build the most scalable machine learning and data platform without sacrificing the benefits of a single platform and governance. We are looking for outstanding technical leaders who will join our ML Platform team to build the next-generation platform and play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state-of-the-art machine learning and LLM workloads. Join us to define strategies, set technical directions, design and execute, engage and deliver innovation, and unlock the power of AI for thousands of enterprise customers. This position is based in Menlo Park, CA, and Bellevue, WA. RESPONSIBILITIES : Help define and own the roadmap, wor