Senior Director Data Science - AI, Pricing Intelligence

Role Overview: You will be responsible for leading the execution, adoption, and integration of AI-driven solutions focused on optimizing price and promotional investment decisions at scale. Your expertise in building and deploying Explainable AI (XAI) solutions, developing Generative AI (Gen AI) models, and implementing feature engineering techniques will be crucial in this role. As a delivery-focused AI leader, you will ensure that AI solutions are actionable, explainable, and integrated into enterprise decision-making processes. Key Responsibilities: - Develop and operationalize AI-powered pricing, markdown, and trade investment strategies to drive real-time financial decision-making. - Design and deploy XAI & Gen AI solutions that provide clear, explainable recommendations for merchants, finance, and investment teams. - Ensure AI models align with price and promo strategies, optimizing trade investment allocation, promotional effectiveness, and ROI maximization. - Develop counterfactual simulations to test multiple pricing and investment scenarios before execution. AI Adoption & Business Integration: - Collaborate with merchants, finance teams, national groups, and technology teams to align AI-driven pricing strategies with business priorities. - Ensure that AI-driven recommendations are interpretable and actionable, enabling non-technical stakeholders to make data-driven investment decisions confidently. - Serve as the AI enabler by translating technical AI models into business-ready insights that are easy to understand and apply. AI Solution Development, XAI & Model Effectiveness: - Utilize hands-on expertise in building, deploying, and scaling Explainable AI (XAI) solutions to ensure transparent and actionable AI-driven decisions. - Demonstrate extensive experience in Generative AI (Gen AI) model development and fine-tuning to support structured business reasoning and pricing optimization. - Apply expert knowledge of model interpretability techniques such as SHAP, LIME, and Counterfactual Explanations to enhance user trust and action on AI recommendations. Advanced Feature Engineering & Data Preparation: - Utilize proven hands-on experience in feature engineering and structured data preparation to ensure AI models capture the right business drivers. - Apply expertise in causal modeling, counterfactual analysis, and data imputation techniques to ensure robust, high-quality training data. - Lead exploratory data analysis (EDA) efforts to uncover patterns that drive price and investment optimization. Scalable AI Deployment, Governance & AI Ops: - Collaborate with AI Platform, AI Ops, and Cloud Engineering teams to ensure scalable AI deployment, governance, and operationalization. - Ensure AI models are production-ready, resilient, and compliant with enterprise AI governance standards. - Develop best practices for AI monitoring, retraining pipelines, and bias detection to continuously improve AI model performance. Qualifications: - Minimum 5 years of experience in AI/ML, data science, and AI-driven decision optimization, with a focus on leadership roles. - Hands-on expertise in XAI & Gen AI, along with proficiency in explainability techniques and model effectiveness methodologies. - Extensive experience in feature engineering, structured data preparation, and causal modeling. - Track record of leading AI-driven business transformation in large, complex enterprises. - Strong communication skills to convey AI-driven insights to non-technical stakeholders effectively. - Masters or PhD in Computer Science, AI, Data Science, or related field preferred. Role Overview: You will be responsible for leading the execution, adoption, and integration of AI-driven solutions focused on optimizing price and promotional investment decisions at scale. Your expertise in building and deploying Explainable AI (XAI) solutions, developing Generative AI (Gen AI) models, and implementing feature engineering techniques will be crucial in this role. As a delivery-focused AI leader, you will ensure that AI solutions are actionable, explainable, and integrated into enterprise decision-making processes. Key Responsibilities: - Develop and operationalize AI-powered pricing, markdown, and trade investment strategies to drive real-time financial decision-making. - Design and deploy XAI & Gen AI solutions that provide clear, explainable recommendations for merchants, finance, and investment teams. - Ensure AI models align with price and promo strategies, optimizing trade investment allocation, promotional effectiveness, and ROI maximization. - Develop counterfactual simulations to test multiple pricing and investment scenarios before execution. AI Adoption & Business Integration: - Collaborate with merchants, finance teams, national groups, and technology teams to align AI-driven pricing strategies with business priorities. - Ensure that AI-driven recommendations are interpretable and actionable, enabling non-technical stakeholde