Director Engineering - AI, Pricing Intelligence

Role Overview: As the Director Engineering at Albertsons Companies Inc., you will be responsible for driving the execution, adoption, and integration of AI-driven solutions that optimize price and promotional investment decisions at scale. Your role will focus on building and deploying Explainable AI (XAI) solutions, developing Generative AI (Gen AI) models, and ensuring feature engineering and data preparation techniques align with real-world business needs. Your key responsibility will be to ensure that AI solutions are actionable, explainable, and embedded into enterprise decision-making to enhance price and promotional investment strategies. 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. - Work across teams to align AI-driven pricing strategies with business priorities and ensure AI-driven recommendations are interpretable and actionable. - Translate technical AI models into business-ready insights that are easy to understand and apply. - Build, deploy, and scale Explainable AI (XAI) solutions and Generative AI (Gen AI) models. - Utilize model interpretability techniques such as SHAP, LIME, and Counterfactual Explanations. - Lead exploratory data analysis efforts to uncover patterns that drive price and investment optimization. - Collaborate with AI Platform, AI Ops, and Cloud Engineering teams for scalable AI deployment, governance, and operationalization. - Develop best practices for AI monitoring, retraining pipelines, and bias detection. Qualifications: - At least 5 years of experience in AI/ML, data science, and AI-driven decision optimization with leadership roles. - Hands-on expertise in XAI & Gen AI. - Experience with explainability techniques (SHAP, LIME, Counterfactuals) and model effectiveness methodologies (AUC-ROC, loss functions, calibration techniques). - Extensive hands-on experience in feature engineering, structured data preparation, and causal modeling. - Track record of leading AI-driven business transformation in large, complex enterprises. - Strong ability to communicate AI-driven insights to non-technical stakeholders. - Masters or PhD in Computer Science, AI, Data Science, or related field preferred.,