VP Chief Data and AI Officer

Qnity, Inc.•Wilmington, DE

About The Position

Are you looking to power the next leap in the exciting world of advanced electronics? Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics. At Qnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us. Position Overview Qnity is seeking a Vice President, Data & Artificial Intelligence to lead the company's enterprise Data & AI function. Reporting to the CIO, this executive will be accountable for building the foundational capabilities, operating model, governance structures, technology platforms, and organizational capabilities required to enable Qnity's transformation into a data-driven enterprise. As a newly independent company, Qnity has an opportunity to define how data and AI are managed, governed, and leveraged across the organization. The Vice President, Data & AI will serve as the enterprise leader responsible for creating the roadmap, driving execution, and delivering measurable business outcomes through data, analytics, and artificial intelligence. This is a builder role. The successful candidate will combine strategic vision with operational leadership and a demonstrated ability to implement enterprise capabilities at scale. They will establish the frameworks, teams, platforms, and processes necessary to create sustainable competitive advantage through data and AI. The role will own all enterprise Data & AI capabilities and serve as the primary executive responsible for data governance, data architecture, analytics, data science, artificial intelligence, and AI product enablement across Qnity.

Requirements

15+ 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 with 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 within industrial, manufacturing, specialty chemicals, advanced materials, semiconductor, life sciences, or other complex process-driven environments.
Experience applying advanced analytics and AI within 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

Establishing enterprise-wide data governance frameworks
Defining data ownership, stewardship, and accountability models
Creating processes for managing data quality and master data
Developing enterprise data standards, policies, and controls
Implementing measurement frameworks to monitor and improve data quality
Partnering with business functions to embed governance and stewardship practices into day-to-day operations
Building a culture where data is managed as a strategic enterprise asset
Defining the enterprise data architecture strategy and roadmap
Leading data engineering and platform teams
Building scalable data pipelines and integration capabilities
Advancing enterprise data lake and cloud data platform capabilities
Developing API-based data access strategies
Modernizing reporting and analytics environments
Expanding self-service analytics capabilities
Establishing enterprise standards for data architecture, integration, and delivery
Ensuring data platforms support current and future AI initiatives
Partner with business and functional leaders to identify high-value opportunities
Apply advanced analytics, machine learning, and statistical modeling to solve complex business challenges
Prioritize use cases based on measurable business value
Develop repeatable approaches for delivering scalable analytical solutions
Drive the operationalization of AI solutions across the enterprise
Establish frameworks for deploying AI into production environments
Build capabilities around Generative AI, copilots, intelligent automation, and emerging AI technologies
Develop enterprise AI governance and risk management processes
Lead evaluation and adoption of future AI technologies, including agentic AI platforms
Create repeatable approaches for scaling AI across functions
Develop the enterprise Data & AI roadmap
Define operating models and governance structures
Establish execution disciplines and performance metrics
Drive prioritization and investment decisions
Build organizational capabilities and talent
Create accountability for value realization
Lead enterprise-wide adoption efforts
Ensure initiatives translate into measurable business outcomes