Vice President, AI Strategy

Role Summary

We are looking for a Vice President of AI Strategy to join us to lead AI initiatives, driving value for the business by leveraging data and artificial intelligence to enhance decision-making, performance, and operational efficiency.

Responsibilities

• Define AI vision, strategy and associated practices.
• Lead the creation (and assure the ongoing relevance) of the Company’s AI strategy in collaboration with the business.
• Build partnerships with executive leadership and senior team members to execute on the vision for managing AI projects and applications, to exploit data and AI capabilities to maximize the value.
• Collaborate with the VP of Data, ensuring the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments.
• Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision-making.
• Implement and scale the pre-defined AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas.
• Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices.
• Collaborate with internal stakeholders to integrate AI governance principles into project development and deployment.
• Data-driven optimization: Lead efforts to apply AI for performance optimization across the business, including leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization.
• Cross-functional AI integration: Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows.
• Innovation and continuous improvement: Ensure that AI products remain on the cutting edge by exploring emerging technologies thus promoting a culture of innovation to maintain a competitive edge.
• Collaborate on data projects: Partner with business units and data teams to ensure successful execution of critical data projects that will be leveraged by AI.

Required Qualifications

• Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains.
• Strong leadership skills, with the ability to build, lead, and mentor teams while navigating a dynamic business landscape.
• Experience integrating with data platforms that support AI, data engineering, and analytics projects across an organization.
• Strong knowledge of AI and data technologies including Python.
• Experience with Natural Language Processing (NLP) and model interpretability libraries, bringing explain-ability to complex models.
• Excellent communication and collaboration skills, with the ability to work cross-functionally and manage relationships with multiple business and technical stakeholders.
• The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders.
• Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment.

Preferred Qualifications

• 5 years of leading AI projects at an enterprise level.
• Proficiency in data analysis tools and programming languages like SQL, Python, R.
• Understanding of data modeling and data architecture principles.
• Expertise in defining and implementing data strategy, governance, and data management best practices.
• Proficient with data governance best practices.