Data Analytics AI Consultant

Key Responsibilities 

Analytics Strategy & Consulting 

• Partner with business leaders to identify opportunities where data, analytics, and AI can improve decision-making and operational efficiency. 

• Develop analytics roadmaps aligned with business objectives and strategic priorities. 

• Provide thought leadership on emerging trends in analytics, machine learning, generative AI, and data-driven transformation. 

• Translate business requirements into actionable analytics and AI use cases. 

Data Analytics & Insights 

• Lead the development of dashboards, reports, and KPI frameworks to monitor business performance. 

• Oversee exploratory data analysis and advanced analytics initiatives to uncover actionable insights. 

• Ensure data quality, governance, and consistency across reporting environments. 

• Drive adoption of self-service analytics capabilities. 

Artificial Intelligence & Machine Learning 

• Identify, evaluate, and implement AI, machine learning, and generative AI / large language model (LLM) solutions to address business challenges. 

• Lead proof-of-concepts and pilot programs for predictive analytics, automation, NLP, recommendation systems, and generative AI applications, including LLM-powered chatbots, retrieval-augmented generation (RAG), and content generation. 

• Collaborate with technical teams to operationalize AI, machine learning, and LLM models, including prompt engineering, fine-tuning, and ongoing performance monitoring. 

• Establish best practices for responsible AI and generative AI usage, including governance, data privacy, model risk, and compliance. 

Stakeholder Management 

• Serve as a trusted advisor to senior business leaders and executives. 

• Present complex analytical findings and AI recommendations in a clear, business-focused manner. 

• Facilitate workshops and strategy sessions to align stakeholders on priorities and solutions. 

• Influence decision-making through data-driven insights. 

Team Leadership 

• Lead and mentor analytics professionals, data scientists, and consultants. 

• Manage project delivery timelines, resource allocation, and stakeholder expectations. 

• Foster a culture of innovation, continuous learning, and collaboration. 

• Support recruitment, training, and development of team members. 

Required Qualifications 

• 8+ years of experience in data analytics, business intelligence, data science, AI consulting, or related disciplines. 

• 3+ years of experience managing teams and leading large-scale analytics initiatives. 

• Strong expertise in SQL and at least one programming language such as Python or R. 

• Experience with data visualization platforms such as Tableau, Power BI, or Looker. 

• Knowledge of machine learning techniques and AI technologies, including Generative AI and Large Language Models (LLMs). 

• Experience working with cloud platforms such as AWS, Azure, or Google Cloud. 

• Strong understanding of data governance, data quality, and analytics best practices. 

• Exceptional communication, presentation, and stakeholder management skills.