Responsibilities

• Intelligence Automation Strategy & Roadmap Ownership
• Own and evolve the roadmap for scalable intelligence delivery—including automation frameworks, reusable components, and insight packages used across teams and verticals.
• Identify high-impact opportunities to reduce delivery time and increase quality through automation, modular frameworks, and standardized workflows.
• Surface friction points, unmet needs, and whitespace opportunities—translating them into clear improvements and roadmap initiatives.
• Use Case Translation & Requirements Leadership
• Serve as the connective tissue between GTM strategy and technical execution—translating use cases into clear business requirements, logic, and workflow designs.
• Partner with Product, Analytics, and Applications teams to shape design, implementation, and deployment of scalable solutions.
• Ensure alignment across teams on definitions, inputs/outputs, and success metrics—so intelligence is consistent, trusted, and easy to adopt.
• AI-Enabled Intelligence Delivery
• Help integrate AI-enabled workflows into intelligence delivery (e.g., automated insight narration, pattern surfacing, QA assist, template-driven storytelling, and AI-agent supported workflows).
• Support feedback loops to continuously improve intelligence tooling, AI-assisted workflows, and delivery experiences—balancing speed with quality and governance.
• Enablement, Adoption & Operational Excellence
• Own and refine enablement infrastructure: intake processes, templates, documentation, and knowledge hubs that support scalable execution.
• Improve usability and adoption of Data Cloud tools and intelligence products through process refinement and consultative support.
• Support cross-functional initiatives related to internal tooling, platform integrations, and operational consistency.
• Support select pre-sales or client-facing work with automation-aligned deliverables when needed.