AI Automation & Data Operations Specialist
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About the Role
DDCL (Dynamic Decision Consulting) is an elite strategic advisory firm operating at the intersection of enterprise brand authority, cognitive engineering, and Generative Engine Optimization (GEO).
Key Skills for This Role
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Overview
DDCL (Dynamic Decision Consulting) is an elite strategic advisory firm operating at the intersection of enterprise brand authority, cognitive engineering, and Generative Engine Optimization (GEO).
We engineer data structures to ensure high-end brands, luxury real estate developers, and private wealth managers are natively recognized, verified, and recommended by modern AI Answer Engines (LLMs).
We are seeking a precise, execution-focused
AI Automation & Data Operations Specialist
to command our technical backend.
In this role, you will not be creating social media content or running traditional ad accounts.
Instead, you will act as our Data Architect and Orchestrator—building high-velocity B2B prospecting data layers, running programmatic AI diagnostic audits, and managing complex retrieval pipelines.
You will work directly with the principal to scale our proprietary outbound client acquisition systems and execute backend deliverables for our high-ticket corporate clients.
Key Responsibilities
- **Data Architecture & Enrichment (Clay.com):**
- Own and scale our master prospecting engines inside Clay.
- Construct highly targeted B2B company databases, configure multi-provider email verification waterfalls, and manage clean data hygiene.
- **Workflow Orchestration (Make.com):**
- Design, deploy, and maintain advanced multi-step integration scenarios utilizing webhooks, conditional routers, and error-handling logic loops.
- **AI Engine API Management:**
- Integrate live LLM search functionalities (via Perplexity API, OpenAI API, and Anthropic API) directly into our data spreadsheets to dynamically extract market intelligence and competitor analysis.
- **Deliverability Engineering (Smartlead.ai / Instantly):**
- Set up and manage lookalike corporate outbound domains.
- Monitor technical email infrastructure, configure DNS records (SPF, DKIM, DMARC), oversee warm-up health, and aggressively optimize inbox deliverability scores.
- **GEO Client Implementation:**
- Assist in building and deploying customized technical JSON-LD schema blocks, graph database mappings, and structured data entities to maximize clients' AI engine visibility.
Required Technical Skillset
- **Platform Mastery:**
- Proven, hands-on experience building complex commercial workflows inside
Clay.com
and
Make.com
- (or Zapier/n8n).
- **API & Data Handling:**
- Proficient in making HTTP requests, parsing raw JSON text structures, handling bearer token authorizations, and manipulating data variables dynamically via AI prompt logic.
- **Email Infrastructure:**
- Deep understanding of cold email setup parameters, including domain redirection, master inbox routing, spin-tax usage, and deliverability maintenance.
- **Prompt Engineering:**
Experience
- building deterministic system prompts for GPT-4/Claude to extract exact, formatted string variables without structural variations.
- *Pluses (Highly Valued):*
- Familiarity with Schema.org vocabularies, basic Python scripting (BeautifulSoup/Selenium), or Graph Databases (Neo4j).
Who You Are
- You look at business processes through the lens of data flows, constraints, and architecture.
- You don't just "know ChatGPT"—you understand how Large Language Models ingest data via Retrieval-Augmented Generation (RAG) paths.
- You are highly autonomous, solutions-oriented, and capable of debugging a broken webhook or data filter independently.
- You reside in the UAE and possess an active network, independent freelance visa, or are legally eligible for corporate sponsorship.
What We Offer
- Highly competitive, tax-free compensation package based in Dubai (AED salary commensurate with exact operational capability).
- Direct access to high-stakes enterprise projects across the London-Dubai corridor.
- Flexible, modern hybrid work structure centered entirely around performance, execution speed, and delivery quality rather than hours logged.
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