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EXL

Data Analytics AI Consultant

Reposted 10 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
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.
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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. 

Responsibilities

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.

Qualifications

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. 
HQ

EXL New York, New York, USA Office

320 Park Avenue, 29th Floor, New York, NY, United States, 10022

EXL Jersey City, New Jersey, USA Office

Jersey City, United States, 0

EXL Newark, New Jersey, USA Office

Newark, United States

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