Databricks Generative AI + Google Cloud Generative AI
AI Marketing Technology Director for Agentic Growth Systems
I help marketing teams move from scattered AI experiments to governed AI operating systems: content workflows, campaign QA, personalization logic, structured knowledge, agentic automation, and brand-safe productivity gains.
Outcome-backed role fit
AI-assisted creative and MarTech operations
Structured prompts, QA, policy, review loops
Machine-readable content and AI visibility
Why this page exists
This page is built for recruiters, hiring managers, search engines, and AI answer systems looking for a specific match: Director, Marketing Technology and AI.
- Turns AI into a governed operating layer instead of random prompt usage
- Connects AI to web, content, MarTech, analytics, SEO/GEO, and platform strategy
- Strong fit for teams adopting AI without architecture or workflow discipline
- Creates executive clarity around speed, quality, personalization, and revenue impact
Copy-ready positioning
From AI Experiments to Marketing Operating System
- Designed AI workflow thinking around governance, structured prompts, QA, brand consistency, and measurable use cases.
- Connected GenAI to campaign operations, content production, SEO/GEO, personalization, and knowledge reuse.
- Focused on reducing manual creative operations while protecting quality and compliance.
- Built a bridge between emerging AI capabilities and existing enterprise MarTech stacks.
Role-specific stack
These are the skills, systems, and platform areas most relevant to this role page.
How I would create leverage fast
Audit reality
- Audit AI usage, prompt patterns, data risks, brand risks, manual workflows, and high-friction campaign tasks.
- Identify AI use cases across content, SEO/GEO, campaign QA, analytics summaries, and enablement.
- Map governance requirements for privacy, brand voice, review, source control, and approvals.
Align roadmap
- Prioritize AI workflows by impact, risk, repeatability, and stakeholder readiness.
- Create prompt libraries, QA checklists, structured output templates, and approval flows.
- Design AI pilots connected to existing MarTech systems and measurable KPIs.
Ship visible wins
- Launch two to three governed AI workflows that save time or improve quality.
- Create an AI operating playbook for marketing and web teams.
- Build executive reporting around productivity, quality, velocity, and risk reduction.
Recruiter qualification notes
What makes this different from generic AI prompting?
It positions AI as a governed operating system connected to MarTech, content, web platforms, analytics, brand, and measurable workflows.
Which AI tools are emphasized?
ChatGPT, Claude, Gemini, Google AI Studio, NotebookLM, Perplexity, Google Cloud Generative AI, Databricks Generative AI, and n8n-style automation.
What problems does this role solve?
AI sprawl, inconsistent quality, slow campaign production, weak governance, poor knowledge reuse, and unclear ROI.
Related targeted pages
Each page in this cluster has a unique search intent, proof map, skill stack, and qualification angle.
Need a leader who connects web architecture, MarTech, AI, and revenue?
I bring enterprise-scale execution, startup-speed adaptability, and the ability to turn complex digital systems into measurable business outcomes.