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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Dir-Solutions Specialist - **Company:** Moody's Corporation - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $200,300.0 - $290,450.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Big Data, Data Architecture, Raw Data, SQL Databases, Systems Integration, Data Strategy, Data Lakes, Information Technology, Api Design, Restful APIs - **Published:** June 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a8391440e29fb00e ## About the Role Do you have experience in Technology advisory?, Do you have a Master's degree?, * 15+ years' experience in a pre-sales, solution consulting, or client-facing technical role within a data, analytics, or technology organization * Strong experience with data architecture, including data lakes (e.g., Risk Data Lake), integrations, SQL/database services, and API-driven workflows * Ability to leverage AI/GenAI technologies (including MCP, agentic workflows, and GenAI-ready data) to support client use cases and solution positioning * Experience supporting complex sales cycles, including RFPs, demos, and proofs of concept, with a focus on technical solutioning * Proven ability to translate client requirements into scalable, technically sound architectures aligned to business outcomes * Strong understanding of integration strategies, including REST APIs, scripting, and orchestration across platforms * Ability to engage credibly with both business and technical stakeholders, including C-suite and engineering teams * Strong presentation and communication skills with the ability to simplify complex data, integration, and AI concepts * Consultative approach with experience influencing decision makers across varied client environments * Strong problem-solving skills with the ability to diagnose technical and workflow challenges and develop effective solutions * Ability to operate both independently and collaboratively within cross-functional teams * Experience working closely with product, engineering, or consulting teams to drive adoption and client success * Ability to scope and size technical environments, including compute, storage, and large-scale data workflows * Willingness to travel as needed, * Bachelor's degree in computer science, data science, engineering, or a related technical field required * Advanced degree (e.g., Master's) in a related technical discipline preferred ## Description This role serves as a technical pre-sales leader supporting Moody's catastrophe modeling, data, and technology solutions across insurance, reinsurance, and broker clients. The individual will partner cross-functionally to drive solution adoption, lead technical sales engagements, and guide clients in designing scalable, data-driven architectures aligned to their business and technology strategies. * Support go-to-market execution across catastrophe modeling, data, and platform solutions for global insurance clients * Partner with product, engineering, consulting, and sales teams to drive adoption of data, platform, and integration-led solutions * Lead technical aspects of the sales cycle, including RFP responses, product demonstrations, and proofs of concept * Advise clients on integration strategies, including APIs, scripting, and orchestration across Moody's and client environments * Support solution design for data architecture, including Risk Data Lake, aligned with client cloud and data strategies * Engage clients in AI/GenAI discussions, positioning how Moody's data integrates into broader AI ecosystems * Scope and size technical environments, ensuring scalable, high-performing, and cost-effective implementations * Build strong client relationships and translate complex technical concepts into clear, actionable insights that drive adoption ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)