Brand You is seeking an experienced AI Automation & Analytics Specialist to join our team. The ideal candidate will play a key role in leading the company's AI adoption initiatives, combining strategic planning with hands-on implementation. The candidate will also be responsible for developing an AI roadmap, identifying high-impact automation opportunities across departments, and directly implementing AI-powered workflows that improve efficiency and operational capacity. Having a strong background in CRM reporting is essential for this role.
Key Responsibilities
AI Strategy & Implementation
- Identify and integrate appropriate AI tools into business workflows, including AI for data analysis, content generation, research, reporting, and operational support.
- Develop and own the company's AI adoption strategy and implementation roadmap.
- Evaluate business processes and workflows to identify high-impact opportunities for AI and automation.
- Design and implement AI-powered workflows that improve productivity and operational efficiency.
- Help transition the organization from informal, ad hoc AI usage toward structured company-wide adoption.
- Prioritize AI initiatives based on business needs, expected impact, and implementation feasibility.
- Balance strategic planning with hands-on implementation and ongoing workflow improvement.
CRM & Systems Integration
- Manage CRM data and develop accurate, actionable reports covering leads, prospects, sales activities, customers, follow-ups, and pipeline performance.
- Evaluate AI tools and integrations based on compatibility with existing systems and business requirements.
- Build workflows that connect AI capabilities with existing operational processes.
- Ensure new AI workflows integrate effectively with the company's current technology stack.
- Identify opportunities to improve CRM processes through AI-powered automation.
Data-Driven Analytics & Reporting
- Collect, clean, analyse, and interpret business and CRM data to identify trends, performance gaps, opportunities, and actionable insights.
- Use operational data to determine which processes should be prioritized for automation.
- Establish measurable objectives for AI implementation initiatives.
- Ensure CRM and business data is accurate, complete, and properly structured.
- Establish and track KPIs and provide management with regular report on sales, marketing, customer engagement, the performance and business impact of implemented workflows.
- Analyse results and team feedback to continuously refine AI automations.
- Provide leadership with clear visibility into AI adoption progress and outcomes.
Leadership & Cross-Functional Collaboration
- Work directly with company leadership to align AI initiatives with broader business priorities.
- Translate business challenges into practical AI and automation solutions.
- Clearly communicate AI capabilities, limitations, implementation progress, and results to non-technical stakeholders.
- Support teams as new AI-powered workflows are introduced and adopted.
- Potentially mentor, coordinate, or manage additional implementation support as the AI function grows.
Experience, Skills & Competencies:
- Has proven experience implementing AI tools, automations, gohigh level, and workflows within a business environment, with senior-level experience strongly preferred.
- Has experience leading or contributing significantly to structured AI adoption initiatives rather than limiting AI use to personal productivity or informal experimentation.
- Experience in identifying business processes that can be improved through AI and translating those opportunities into working solutions.
- Previous experience managing or mentoring implementation support is considered a plus.
- Strong background in data analysis.
- Can develop AI adoption strategies while remaining hands-on with workflow implementation and continuous optimization.
- Has strong familiarity with CRM systems, or experience working with comparable CRM platforms and integrations.
- Can evaluate AI tools and automation opportunities based on business requirements, existing systems, implementation feasibility, and expected impact.
- Uses data to prioritize automation opportunities, measure workflow performance, and guide ongoing improvements).
- Demonstrates strong problem-solving skills and can identify opportunities for AI-driven process improvement without requiring constant direction.
- Strategic thinker who is equally comfortable with hands-on execution.
- Strong ownership mentality with accountability for implementation outcomes.