Lead analytics and AI initiatives: define strategy, translate business needs into AI/use cases, oversee dashboards and advanced analytics, run ML/LLM pilots, operationalize models, ensure responsible AI governance, and manage and mentor analytics teams while driving stakeholder alignment.
Job Summary
We are looking for a hands-on Analytics Consultant who can build. This is a technical, delivery-focused role for someone strong in AWS, Python, SQL, and Machine Learning. You will spend most of your time building ML models, AI-powered BI chatbots, and decision intelligence systems that help the business make better decisions.
Beyond the build work, you will act as a trusted advisor to business stakeholders, turning complex problems into practical, data-driven solutions. The right person combines deep technical skill with the judgment to know what to build and why.
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:
- 5+ years in data analytics, business intelligence, data science, AI consulting, or related fields.
- Strong hands-on experience with AWS (or a comparable cloud platform such as Azure or Google Cloud).
- Strong SQL skills and solid Python programming.
- Practical knowledge of machine learning, including Generative AI and LLMs.
- Hands-on experience designing and delivering Decision Intelligence systems: build, integration, deployment, and ongoing monitoring.
- Demonstrated experience building AI/BI chatbot solutions: natural language querying over business data, governed data connections, and iterative refinement.
- Excellent communication, presentation, and stakeholder management skills.
Preferred Qualifications
- Experience delivering consulting engagements in media, publishing, digital content, advertising, or consumer-facing industries.
- Familiarity with modern data architectures, data lakes, and data warehouses.
- Experience with AI frameworks and tools such as OpenAI APIs, LangChain, MLflow, TensorFlow, PyTorch, or similar technologies.
- Professional certifications in cloud technologies, analytics, or AI.
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