Lead the development and deployment of AI-powered platforms and tools that enhance productivity across core business functions such as Finance, HR, IT, Marketing, Procurement, and Supply Chain.
Identify, evaluate, and implement off-the-shelf AI agents to streamline operations, reduce costs, and accelerate business processes.
Architect and build a scalable enterprise business intelligence (BI) and analytics infrastructure to support high-quality financial, operational, and strategic reporting.
Collaborate with cross-functional leaders to translate business needs into data and AI solutions, ensuring alignment with organizational goals and priorities.
Manage and grow a high-performing team of AI, data, and analytics professionals, fostering innovation, operational excellence, and a data-driven culture.
Requirements
Proven experience leading AI/ML initiatives and data-driven transformations in a complex, cross-functional business environment.
Strong technical expertise in AI/ML, data architecture, analytics platforms, and business intelligence tools (e.g., Snowflake, Tableau, SAP BW/4HANA, Power BI, or similar).
Deep understanding of enterprise operations and processes across functions like Finance, Supply Chain, HR, and IT, with the ability to translate business needs into technical solutions.
Demonstrated success in building and managing high-performing technical teams, including AI engineers, data scientists, and BI analysts.
Excellent communication, stakeholder management, and strategic thinking skills, with a track record of influencing executive leadership and driving measurable business outcomes.
Benefits
paid time off (e.g. sick leave, vacation, bereavement)
unpaid time off
Zoox Stock Appreciation Rights
Amazon RSUs
health insurance
long-term care insurance
long-term and short-term disability insurance
life insurance
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.