Macy's · 5 hours ago
Sr. Director, Data Science - Customer + Digital
Macy's is a storied retail company that has been part of America's heart for over 160 years. The Senior Director, Data Science & AI Engineering will lead AI and machine learning strategies, partnering with senior executives to create impactful business solutions and drive the company's evolution into a data-led retailer.
Consumer GoodsFashionRetail
Responsibilities
Lead, mentor, coach managers and individual contributors report to this position and actively raise the talent bar across the Enterprise Data & Analytics Team
Serve as a strategic advisor to senior leadership, aligning AI and machine learning strategies with enterprise priorities
Shape and execute a roadmap for AI enablement across a broad client group, ensuring solutions address critical business challenges and deliver measurable outcomes
Define success metrics for AI initiatives and track impact to demonstrate tangible value and ROI
Oversee the design, development, and deployment of advanced machine learning and generative AI solutions, including LLM integration, real-time inference, and scalable ML pipelines
Implement best-in-class ML Ops practices, including CI/CD automation, containerization, and infrastructure-as-code for production environments
Establish and enforce enterprise standards for AI engineering, governance, and risk management, ensuring compliance and ethical practices
Drive modernization of AI platforms and infrastructure by evaluating emerging technologies and implementing solutions for scalability and performance
Collaborate with Data Engineering, Architecture, and Governance teams to ensure alignment with enterprise data strategies and infrastructure standards
Champion change management and user adoption of AI capabilities, embedding data-driven practices across Macy’s and increasing organizational digital IQ
Stay ahead of industry trends and emerging technologies to position Macy’s as a leader in AI-driven retail innovation
Manages team budgets and participates in financial reviews
Qualification
Required
10+ years of experience in data science and AI engineering, including 5+ years driving enterprise-scale initiatives and influencing executive strategy
Proven track record of delivering end-to-end AI solutions that drive measurable business impact in a complex, fast-paced environment
Skilled in architecting and scaling ML pipelines and integrating generative AI and LLMs into production systems
Experienced in influencing senior stakeholders and translating technical strategies into actionable business outcomes
Expert in machine learning frameworks (TensorFlow, PyTorch, scikit-learn), generative AI, LLM integration, and ML Ops practices
Advanced experience with cloud platforms (GCP), containerization, CI/CD, and infrastructure-as-code
Visionary Leadership: Shapes enterprise AI strategy and drives adoption of advanced technologies to deliver transformative business outcomes
Executive Stakeholder Management: Builds trusted partnerships with senior executives and influences strategic priorities through data-driven insights
Enterprise Strategy Execution: Translates vision into scalable solutions, ensuring alignment with enterprise standards and measurable impact
Preferred
Advanced degree preferred
Benefits
Merchandise discounts
Performance-based incentives
Annual merit review
Employee Assistance Program with mental health counseling and legal/financial advice
Tuition reimbursement
Company
Macy's
Macy's is America’s store for life. The largest retail brand of Macy's, Inc.
H1B Sponsorship
Macy's has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (1)
2022 (10)
2021 (26)
2020 (37)
Funding
Current Stage
Late StageLeadership Team
Recent News
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