Overview Senior leadership role responsible for driving the development, deployment, and sustainment of advanced analytics solutions across platforms like Perfect Store, sDNA, cDNA, ROI Engine, RGM, and Sales Effectiveness. Partnering closely with global data science hubs and commercial stakeholders, this role ensures alignment with global strategies while enabling scalable, high-impact AI/ML solutions. The role balances strategic leadership, cross-functional collaboration, and technical delivery to embed data science into core business processes and accelerate PepsiCo's data-driven transformation. Responsibilities Lead Strategy and Execution for Commercial Data Science in India Shape and drive the regional vision aligned with global Consumer and Commercial data science priorities.,Co-Own and Deliver Scalable AI/ML Solutions Across Platforms Partner with global hubs to build, deploy, and sustain models for Perfect Store, sDNA, cDNA, ROI Engine, RGM, and Sales Effectiveness.,Ensure Model Sustainment and Business Impact Establish robust governance, monitoring, and performance tracking to ensure long-term model effectiveness and relevance.,Drive Integration Across Functions and Platforms Ensure data science solutions are embedded into Commercial, RGM, Sales, and Marketing processes through effective cross-functional collaboration.,Build and Develop High-Performing, Cross-Functional Teams Recruit, grow, and lead technical talent while fostering a culture of innovation, collaboration, and continuous learning.,Promote Adoption and Change Management Across Markets Drive user adoption of data science tools through structured change initiatives, training, and stakeholder engagement. Qualifications Experience and Leadership 12+ years of progressive experience developing and deploying data science and AI-driven solutions in a consumer and/or commercial context, with a demonstrated ability to drive measurable business impact. 5+ years of experience in a senior leadership capacity, managing and mentoring high-performing analytics and data science teams. Proven ability to lead through influence in a matrixed, global environment, with joint ownership of platforms and initiatives. Strong track record of collaborative leadership across geographies — working closely with global data science hubs and cross-functional product teams to ensure alignment, co-creation, and consistent execution of solutions. 8+ years of hands-on experience delivering production-level analytic and machine learning solutions, with a solid grasp of agile delivery methods, version control (e.g., Git), and continuous integration/deployment tools such as Jenkins, Docker, or similar. Machine Learning Expertise 8+ years of experience with strong proficiency in SQL and Python-based data transformation frameworks. Deep understanding of enterprise data architecture and best practices for structured and semi-structured data handling. Advanced experience applying statistical modeling and machine learning techniques to business problems, including supervised learning (regression, classification), unsupervised learning (clustering, PCA), and optimization. Exposure to Deep Learning and Large Language Models (LLMs) is a strong plus. Proven experience building and validating models for demand forecasting, promotional ROI, customer segmentation, and sales force effectiveness, ideally within the CPG/FMCG sector. Technical Proficiency Strong command of Python, including use of industry-standard libraries such as NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, and Snowflake/SQL for large-scale data analysis and modeling. Experience in building cloud-native data science applications on AWS, Azure, or GCP, including deployment, scaling, and performance monitoring of models in production. Familiarity with Dockerized environments, REST APIs, and CI/CD pipelines for reproducible and scalable ML deployments. Understanding real-time and batch data processing frameworks and orchestration tools such as Airflow, Kafka, or Databricks. Advanced Statistical and AI Methods Hands-on experience with Bayesian modeling, time series forecasting (e.g., Prophet, ARIMA), and hierarchical models. Exposure to advanced AI domains such as NLP, Graph Neural Networks, Deep Reinforcement Learning, and GenAI applications, with the ability to assess when and how to deploy these methods based on business needs. Strong grasp of model explainability, bias mitigation, and responsible AI practices, ensuring models are transparent, trustworthy, and aligned with PepsiCo’s governance standards. Strategic Thinking and Business Acumen Demonstrated ability to translate complex analytical outputs into actionable business strategies, working closely with commercial, marketing, sales, and finance teams. Experience supporting strategic business areas such as Revenue Growth Management, Perfect Store execution, promotion optimization, and sales transformation through data science solutions. Ability to balance technical innovation with practical delivery, aligning model development cycles with commercial planning timelines and business needs. Communication and Stakeholder Engagement Proven ability to communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders. Experience engaging with senior leadership and global functional partners, delivering strategic recommendations grounded in data science outputs. Comfortable facilitating workshops, leading cross-functional design sessions, and co-creating roadmaps with global platform owners and business leaders. Educational Background: Preferred Master’s Degree in Data Science, Computer Science, Statistics, MBA or a related field, with a minimum of 5 years of relevant work experience in a senior data science or analytics role.