Senior Director of Agentic Software Development
Listed on 2026-09-07
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Software Development
AI Engineer (Applied/Software), Software Engineer
Fact Set creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At Fact Set, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities.
We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Fact Set is a leader in providing research and analytical tools to finance professionals, offering instant access to accurate financial data and analytics around the world. Fact Set clients combine hundreds of databases from industry-leading suppliers into a single powerful information system.
the Role
Fact Set is driving a transformation to agentic software development. The future is one where AI is not an add-on to the engineering workflow but the primary way software is built, tested, deployed, and maintained. This role leads that transformation end-to-end. The Senior Director of Agentic Software Development owns the strategy, enablement, and measurement required to move Fact Set's development lifecycle from AI-assisted coding to AI-native software delivery.
This is not a tools procurement role. It is a leadership role that requires a clear point of view on what agentic development and the AI-SDLC should look like across the full lifecycle, and the ability to drive the organization toward it. The role is accountable for changing how Fact Set builds software, with real metrics, real adoption, and real impact on delivery velocity and quality.
Reports to:
Chief Information Officer.
- Agentic Development Strategy and Roadmap — Define and execute the roadmap for Fact Set's transition to agentic development. Own the vision for how AI reshapes every stage of the software delivery lifecycle, from requirements decomposition through code generation and review to testing, security, deployment, and operations. Set the pace and sequence for the organization, balancing ambition with the trust-building required for teams to adopt fundamentally new workflows.
- Developer AI Tooling Strategy — Partner with Developer Enablement, Product Management Excellence, and the AI Foundry to shape the portfolio of AI development tools across Fact Set and the emerging ecosystem of agentic coding platforms. Bring the transformation perspective to build-vs-buy decisions. Inform which tools are core to Fact Set's developer platform, which are experimental, and which should be retired.
- Governance and Alignment — Stand up and lead the governance structure for agentic software development across Fact Set. Identify and leverage the right leaders to drive progress, maintain alignment, and ensure that what works in one team flows to the rest. Connect the people already doing the work, give them a forum to share and decide together, and keep the transformation on track as it scales.
- Standards, Skills, and Developer Infrastructure — Partner with Developer Enablement, Enterprise Architecture, the AI Foundry, and engineering leadership to build the infrastructure that makes agentic development effective at Fact Set specifically. This includes MCP servers and skills that give AI tools access to Fact Set's standards, libraries, and institutional knowledge; verification and trust layers that catch hallucination and enforce code quality;
plugin marketplaces and skills registries that allow teams to share what they build; and learning curricula that bring every engineer along the adoption curve. - Engineering Community and Adoption — Build and sustain the internal community around agentic development. Create forums for sharing wins, surfacing gaps, and spreading best practices across engineering organizations. Work with early adopters and skeptics alike. The goal is not 100% tool adoption on a dashboard; it is genuine, sustained change in how engineering teams operate, measured by outcomes, not logins.
- Token Budget and…
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