AI Transformation Lead

Job Description

Position: AI Transformation Lead

Position Reports to: Executive Leadership / Chief Transformation Officer

Department: AI Lab

Location: New York, USA

Job Type: Hybrid – 3 Days onsite, 2 Days remote

Role Summary

AI Transformation Lead will be responsible for leading the organization’s internal AI Lab and driving practical AI-enabled business transformation across the enterprise.

This role will define the AI Lab roadmap, oversee high-value AI and analytics initiatives, improve data quality and reporting discipline, and ensure AI experimentation is translated into measurable business impact.

The position will manage a small team of AI Transformation and Special Projects professionals and will partner closely with executive leadership and functional stakeholders to identify opportunities, build scalable solutions, strengthen enterprise readiness, and embed responsible AI practices into business operations.

Key Responsibilities

AI Strategy, Deployment and Process Automation

• Define and lead the AI Lab roadmap, prioritizing practical use cases across HR, Finance, Commercial, Operations, and other business functions where AI can improve speed, quality, efficiency, or decision-making. Lead the team in prototyping, testing, and scaling AI-enabled workflows using tools such as Microsoft Copilot, Claude Enterprise, Power BI, Python, SQL, Tableau, or equivalent AI and analytics platforms
• Translate business needs into clear AI opportunities, working closely with functional leaders to identify pain points, define success measures, and ensure adoption.
• Evaluate and pilot new external AI tools and technologies to address emerging business needs.

Team Leadership and Talent Development

• Manage, coach, and develop a team of AI Transformation & Special Projects interns, providing clear priorities, feedback, and development opportunities
• Create a high-accountability, high-curiosity team culture that balances experimentation with disciplined execution.
• Build team capability in AI tools, analytics, project execution, stakeholder communication, data quality, and executive-ready storytelling.

Transformation Execution and Enterprise Readiness

• Oversee strategic transformation workstreams, ensuring trackers, timelines, risks, actions, and leadership updates are clear, current, and decision-ready
• Partner with executive sponsors and functional leaders to support value-creation initiatives, operational improvements, and business readiness activities
• Guide the preparation of leadership-ready materials, project updates, and documentation that clearly communicate progress, risks, insights, and impact.

Data Analytics, Reporting and Data Quality

• Lead the development of dashboards, visual summaries, and insight packs that make complex business data simple, useful, and actionable for senior leaders
• Set expectations for data quality, documentation, and reporting discipline so outputs are accurate, repeatable, transparent, and trusted
• Guide the team in cleaning, standardizing, connecting, and improving key datasets to support business-critical analysis and transformation work.

Market Intelligence, Innovation and Governance

• Monitor AI trends, emerging tools, comparable companies, and value-creation opportunities to keep the business informed and ahead of relevant developments
• Establish practical guardrails for responsible AI use, including AI use-case guidelines and code of conduct, documentation standards, data privacy awareness, quality checks, and risk escalation and ensuring consistent adoption across functions
• Package research, recommendations, and business cases into concise briefings that leaders can act on quickly

Qualifications and Skills

• Experience in AI, analytics, transformation, digital innovation, business operations, or a related field, with a track record of turning ideas into practical business solutions.
• Proven ability to manage, coach, and develop a small team while setting priorities, removing blockers, and maintaining momentum across multiple workstreams.
• Strong understanding of AI, automation, data analytics, reporting, and process improvement, with sufficient technical fluency to guide teams and evaluate solutions.
• Experience using or overseeing tools such as Microsoft Copilot, Claude, Python, SQL, Power BI, Tableau, or similar AI and analytics platforms.
• Excellent stakeholder management and communi…