Vice President of AI, Data & Analytics

9/11 Memorial & Museum • New York, NY

2d • $160,000 - $165,000

About The Position

The Vice President of AI, Data & Analytics is responsible for setting and executing the enterprise strategy for data, analytics, and artificial intelligence to enable insight-driven decision-making, operational excellence, and responsible innovation across the organization. This role serves as a senior technology leader and strategic partner to executive leadership.

Requirements

• Deep expertise in machine learning algorithms and data modelling.
• Exceptional leadership, people management and communication abilities.
• Strong strategic vision and the ability to translate it into actionable plans.
• Sound judgment regarding ethics, privacy and bias in data and AI.
• Ability to liaise effectively between technical teams and non-technical stakeholders.
• 10+ years in technology and data-related roles, with at least 7 years leading AI, analytics or data science organizations.
• Advanced degree (MS or PhD) in Computer Science, Data Science, Statistics, Mathematics or a related field
• Proven track record of deploying enterprise-scale AI/ML solutions that drive measurable business outcomes.
• Experience across diverse industries enabling you to apply best practices from technology, finance, healthcare, retail, manufacturing and others.
• Strong understanding of data governance, architecture, infrastructure and modern data platforms (Spark, cloud data warehouses).

Responsibilities

• Define and lead the AI, Data & Analytics team with a focus on enterprise data, analytics, and AI strategy aligned to organizational priorities
• Own enterprise data architecture, including data ingestion, storage, modeling, analytics, and semantic layers
• Lead the development and deployment of advanced analytics, machine learning, and AI solutions, including GenAI where appropriate
• Establish and enforce data governance, data quality standards, stewardship models, and metadata management
• Create and oversee responsible AI and AI governance frameworks, including model risk management and ethical use guidelines
• Partner with Information Security, Legal, and Compliance to ensure privacy-by-design, data protection, and regulatory alignment
• Build, mentor, and scale high-performing data engineering, analytics, and data science teams
• Manage budgets, vendors, and strategic partners related to data and AI platforms
• Measure, communicate, and continuously improve the business value and ROI of data and AI initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: Ph.D. or professional degree