VP Chief Data and AI Officer

Qnity Electronics•Wimington, DE

About The Position

Qnity is seeking an executive to lead its enterprise Data & AI function and help establish the company as a data-driven enterprise. Reporting to the CIO, the role is accountable for building the foundational capabilities, operating model, governance structures, technology platforms, and organizational capabilities needed to deliver business outcomes through data, analytics, and AI. As a newly independent company, Qnity is defining how data and AI are managed, governed, and leveraged across the organization. This is a builder role combining strategic vision with operational leadership and the ability to implement enterprise capabilities at scale. The position owns enterprise data governance, data architecture, analytics, data science, artificial intelligence, and AI product enablement. The Vice President will build the enterprise’s data excellence capabilities, including governance, ownership, stewardship, quality, master data, standards, policies, controls, and measurement. The role will establish the technical foundation for data access and use by defining architecture and roadmaps, leading data engineering and platform teams, developing pipelines and integrations, advancing data lake and cloud platform capabilities, modernizing analytics, and expanding self-service access. The executive will also build and lead an enterprise AI Center of Excellence covering data science and advanced analytics as well as AI implementation and productization. This includes identifying and prioritizing valuable use cases, developing scalable analytical solutions, operationalizing AI, creating AI governance and risk processes, and advancing capabilities in generative AI, copilots, intelligent automation, and emerging technologies such as agentic AI. A major focus is moving AI beyond experimentation and isolated pilots to sustained, measurable business impact. Success depends on execution as well as strategy: developing the enterprise roadmap, establishing operating models and governance, setting performance metrics, driving prioritization and investment decisions, developing talent and organizational capabilities, leading adoption, and ensuring measurable value realization. Qnity offers a comprehensive pay and benefits package. The company is an equal opportunity employer and uses AI to enhance its recruitment process.

Requirements

15 or more years of progressive leadership experience across data, analytics, artificial intelligence, digital transformation, or related disciplines.
Demonstrated success developing and executing enterprise Data & AI strategies.
Experience leading large-scale data modernization and transformation initiatives.
Proven track record partnering with senior executives to drive enterprise priorities and investment decisions.
Experience building and leading high-performing global teams.
Strong financial acumen and experience linking technology investments to measurable business outcomes.
Experience establishing enterprise data governance and operating models.
Track record of delivering measurable value through analytics, machine learning, and AI.

Nice To Haves

Experience in industrial, manufacturing, specialty chemicals, advanced materials, semiconductor, life sciences, or other complex process-driven environments.
Experience applying advanced analytics and AI in manufacturing, supply chain, R&D, and operational environments.
Experience supporting Board-level discussions and executive decision-making.
Experience in large-scale transformation environments, including post-separation, carve-out, or enterprise modernization initiatives.
Advanced degree preferred.

Responsibilities

Establish enterprise-wide data governance frameworks and define data ownership, stewardship, and accountability models.
Create processes for data quality and master data, develop enterprise data standards, policies, and controls, and implement data-quality measurement frameworks.
Partner with business functions to embed data governance and stewardship in day-to-day operations and foster a culture that treats data as a strategic enterprise asset.
Define the enterprise data architecture strategy and roadmap, and lead data engineering and platform teams.
Build scalable data pipelines and integration capabilities; advance enterprise data lake and cloud data platforms; and develop API-based data access strategies.
Modernize reporting and analytics environments, expand self-service analytics, and establish standards for data architecture, integration, and delivery.
Ensure data platforms support current and future AI initiatives and provide timely access to trusted information.
Build and lead Qnity’s enterprise AI Center of Excellence across data science, advanced analytics, AI implementation, and productization.
Partner with business and functional leaders to identify high-value analytics and AI opportunities, prioritize use cases by measurable business value, and develop repeatable, scalable analytical solutions.
Operationalize AI solutions, establish frameworks for production deployment, and build capabilities in generative AI, copilots, intelligent automation, and emerging AI technologies.
Develop enterprise AI governance and risk management processes, evaluate and adopt future AI technologies including agentic AI platforms, and create repeatable approaches to scale AI across functions.
Develop the enterprise Data & AI roadmap, define operating models and governance structures, and establish execution disciplines and performance metrics.
Drive prioritization and investment decisions, build organizational capabilities and talent, create accountability for value realization, and lead enterprise-wide adoption.
Partner with senior executives and cross-functional teams to deliver measurable business outcomes and align technology investments with enterprise priorities.