Lead Business Execution Consultant

Overview

Lead business execution initiatives that strengthen operational effectiveness, execution discipline, and risk management, using analytics, machine learning and GenAI to drive decision-making and efficiency.

What you'll do

• Lead the design and execution of data-driven business strategies and cross-functional initiatives aligned with business priorities.
• Translate complex business challenges into analytics, machine learning, AI, and GenAI solutions that improve decision-making and operational efficiency.
• Perform exploratory data analysis on large datasets and develop actionable insights and recommendations.
• Develop and deploy machine learning models for customer behavior, segmentation, personalization, risk and fraud analytics, forecasting, and optimization.
• Design and implement LLM and GenAI solutions, including NLP pipelines, chatbots, summarization tools, and insight-generation solutions.
• Develop behavioral analytics frameworks to understand customer segmentation, churn, engagement, funnel performance, and lifetime value.
• Partner with product and marketing teams to support personalization strategies, experimentation, and A/B testing.
• Collaborate with data engineering teams to support data quality, pipelines, scalable solutions, and AI model deployment.
• Partner with senior leaders and cross-functional stakeholders to identify analytics-driven transformation and process improvement opportunities.
• Present complex insights and recommendations through effective data visualization and storytelling, while providing technical guidance and mentoring to less experienced team members.

What you'll need

• Experience in Data Analytics, Data Science, Machine Learning, Artificial Intelligence, Business Analytics, or Strategy and Execution, demonstrated through work experience, training, military experience, or education.
• Strong hands-on experience with Python for data manipulation, modeling, analytics, and automation.
• Experience with SQL and large datasets, including data querying, analysis, and interpretation.
• Experience developing and implementing machine learning models using tools and libraries such as Scikit-learn, Pandas, and NumPy.
• Experience with AI/GenAI and LLM solutions, including prompt engineering and model integration.
• Strong analytical and problem-solving skills with the ability to translate complex business problems into data-driven solutions.
• Strong communication and stakeholder management skills with experience presenting analytical insights and recommendations.

Nice to have

• Experience with behavioral analytics, including customer segmentation, cohort analysis, funnel analytics, churn, engagement, and customer behavior modeling.
• Experience developing NLP, LLM, GenAI, personalization, forecasting, or optimization solutions.
• Knowledge of AI observability and model monitoring, including tools such as Arize.
• Experience with Oracle, BigQuery, Alteryx Designer, Power BI, Looker, or Python visualization libraries.
• Experience working with Azure or GCP environments for data, analytics, or AI model deployment.
• Experience with A/B testing, experimentation, and personalization strategies.
• Experience leading cross-functional analytics or transformation initiatives and working with senior stakeholders.
• Experience providing technical guidance, mentoring, or workstream leadership to team members.

Details

• Location: Bengaluru, India.
• Posting end date: 13 Nov 2026.