AI & Automation Lead

Overview

AI Strategy & Adoption

• Develop and execute the company s AI and automation roadmap.
• Identify opportunities to improve efficiency, productivity and profitability through AI.
• Champion AI adoption across the business.
• Train and support employees in the effective use of AI tools.
• Evaluate emerging technologies and recommend practical applications.

Internal Product Development

• Build AI-powered applications and tools for recruiters, consultants and leadership teams.
• Develop internal GPTs, copilots and knowledge assistants.
• Create centralised information and knowledge management systems.
• Build solutions that improve collaboration and information accessibility.

Recruitment Process Automation

• Automate candidate sourcing, screening and engagement workflows.
• Build intelligent candidate matching and recommendation engines.
• Develop AI-assisted CV review and candidate profiling tools.
• Create market mapping and talent intelligence solutions.
• Enhance recruiter productivity through workflow automation.

CRM, ATS & Data Infrastructure

• Lead the development and enhancement of CRM capabilities.
• Build integrations between CRM, ATS, email, LinkedIn, marketing and finance systems.
• Create a centralised data ecosystem.
• Improve data quality, reporting and accessibility.
• Implement AI-driven data enrichment and maintenance processes.

Commercial & Marketing Enablement

• Develop lead generation and prospecting automation tools.
• Build AI-powered marketing and content workflows.
• Create commercial dashboards and revenue attribution systems.
• Support business development through market intelligence and analytics.
• Enhance client engagement through technology-led solutions.

Business Intelligence & Reporting

• Develop real-time dashboards and performance reporting.
• Build forecasting and predictive analytics tools.
• Create automated management reporting.
• Deliver actionable insights to leadership teams.
• Support strategic planning through data analysis.

Process Improvement & Operational Excellence

• Review existing business processes and identify automation opportunities.
• Eliminate manual and repetitive administrative tasks.
• Improve operational scalability and efficiency.
• Standardise workflows and best practices.
• Measure and report on automation impact and ROI.

Essential

• Proven experience delivering AI and automation solutions in a commercial environment.
• Strong Python development skills.
• Experience working with OpenAI, Anthropic, Gemini or similar LLM platforms.
• Experience building APIs, integrations and workflow automations.
• Knowledge of CRM and enterprise business systems.
• Experience working with databases and cloud-based technologies.
• Strong stakeholder management and communication skills.
• Ability to translate business challenges into practical technology solutions.

Desirable

• Experience within recruitment, staffing, HR technology or professional services.
• Experience with Microsoft Power Platform, n8n, Make, Zapier or similar automation tools.
• Experience with RAG architectures, vector databases and AI agents.
• Experience building dashboards and BI solutions.
• Front-end application development experience.
• Experience managing external developers or technology vendors.

Success Measures

• Within the first 12 months, you will:
• Deliver measurable productivity improvements across recruitment and operations.
• Reduce manual administration through automation.
• Establish a centralised AI and data ecosystem.
• Improve CRM adoption, usability and reporting.
• Launch multiple AI-powered tools used daily across the business.
• Support revenue growth through improved commercial intelligence and lead generation.
• Position Aventus as one of the most technologically advanced talent businesses in the GCC.

Reporting Line