Hannah James
Senior Marketing Operations Leader | CRM Architect | Lifecycle & Revenue Growth Strategist | HubSpot & Google Marketing Certified
- Role
- Ai Quality Analyst Model Evaluator at Scale AI
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Hannah James
I’m a Senior Marketing Operations leader who specializes in turning complex business goals into clean, scalable systems that teams can actually use.With 7+ years of experience across marketing operations, CRM architecture, and lifecycle strategy, I sit at the intersection of marketing, technology, and revenue, building and owning the bridge between strategy and execution. My work focuses on building and governing CRM ecosystems, automation frameworks, and reporting structures that align marketing and sales, improve conversion quality, and make performance measurable.I’m currently the primary HubSpot instance owner at a global organization, where I lead lifecycle architecture, segmentation, automation, and governance across marketing, admissions, and sales functions. I partner closely with executive leadership and technical teams to translate growth objectives into operational systems that scale, not just in theory, but in day-to-day use.Across agency, in-house, and enablement roles, I’ve influenced $7M+ in pipeline revenue, improved lead engagement by 28%, and supported acquisition growth through a combination of paid media strategy, lifecycle optimization, and disciplined measurement. I care deeply about building systems people and teams trust.At my core, I enjoy simplifying complexity, creating clarity, and automating processes so teams can focus on their true value and understand how their work connects to real outcomes.
Experience
Ai Quality Analyst Model Evaluator
Jan 2024 — Present
Researched and synthesized information from diverse sources to input comprehensive and varied queries into generative AI systems, enhancing the model\'s exposure to a wide array of topics and question types.Generated high-quality, informative responses to queries by leveraging in-depth research and subject matter expertise, directly contributing to the training of more accurate and reliable generative AI models.Performed iterative refinement of query responses, utilizing feedback loops to continuously improve the relevance and accuracy of AI-generated content, ensuring outputs meet high standards of quality and informational value.Maintained up-to-date knowledge of domain-specific developments and advancements, applying this expertise to generate responses that reflect current insights and information, thereby keeping the AI model\'s outputs relevant and authoritative.
Education
University of North Carolina at Charlotte
Bachelor of Arts - BA, French Language and Literature
2015 — 2019
University of North Carolina at Charlotte
Bachelor of Arts - BA, Health Communication
2015 — 2019
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