Job Summary
We are seeking a highly motivated and experienced Analytics Consultant – Data Analytics & AI Consulting to lead strategic data initiatives and drive the adoption of advanced analytics and artificial intelligence solutions across the organization. This role will serve as a trusted advisor to business stakeholders, translating complex business challenges into data-driven solutions that deliver measurable value.
The ideal candidate will possess a strong blend of business acumen, analytics expertise, AI knowledge, and leadership capabilities. They will oversee cross-functional projects, manage stakeholder relationships, and guide teams in the design, implementation, and optimization of analytics and AI-driven solutions.
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.
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.
Skills Required
- 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
- 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, or PyTorch
- Professional certifications in cloud technologies, analytics, or AI
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
