Director, AI Transformation & Intelligent Business Enablement

About the Organization

Sun Chemical, a member of the DIC Group, is a leading producer of packaging and graphic solutions, color and display technologies, functional products, electronic materials, and products for the automotive and healthcare industries. Together with DIC, Sun Chemical is continuously working to promote and develop sustainable solutions to exceed customer expectations and better the world around us. With combined annual sales of more than $8.5 billion and 22,000+ employees worldwide, the DIC Group companies support a diverse collection of global customers. Sun Chemical Corporation is a subsidiary of Sun Chemical Group Coöperatief U.A., the Netherlands, and is headquartered in Parsippany, New Jersey, U.S.A.

About the Role

The Director, AI Transformation & Intelligent Business Enablement will lead Sun Chemical / DIC Group’s enterprise approach to applied artificial intelligence, translating AI capability into measurable business value across commercial, manufacturing, and functional teams. This role bridges strategy and execution: identifying high-value AI opportunities, building the operating model and governance to scale them responsibly, and partnering across a complex global, matrixed organization to drive adoption. The successful candidate will reframe AI from a technology initiative to a decision-intelligence capability that strengthens the way the enterprise plans, decides, and operates.

Responsibilities

• Define and own the enterprise AI transformation roadmap, prioritizing use cases by business value, feasibility, and risk.
• Build and lead a federated AI Center of Excellence (CoE) model — balancing central governance, data, and platform standards with embedded business-unit ownership of use cases.
• Partner with business and functional leaders to identify and quantify opportunities for revenue growth, margin improvement, productivity enhancement and risk reduction through AI-enabled solutions.
• Partner with HR and business and functional leadership to assess workforce impacts, redesign processes and develop future-state skills and capability requirements.
• Develop the AI governance framework, including model risk, data privacy, ethical use guidelines, and compliance alignment with global regulatory requirements (e.g., EU AI Act).
• Partner with legal, privacy, IT, security and risk management leaders to establish controls addressing AI-related risks.
• Lead cross-functional AI pilots and scale successful initiatives enterprise-wide, working closely with IT, Data & Analytics, and business-unit leadership.
• Design and deliver AI literacy and capability-building programs to support adoption across varying levels of technical fluency, including for non-technical business leaders.
• Build the business case, ROI tracking, and value-realization framework and tracking KPIs for AI investments; report progress to senior leadership and SLT.
• Navigate and align AI strategy across the Sun Chemical and DIC matrix, accounting for cultural, regulatory, and operational differences.
• Stay ahead of emerging AI capabilities and vendor landscape, evaluating build-vs-buy-vs-partner decisions for enterprise tools and platforms.
• Act as a trusted advisor and change agent, helping leaders and teams move through the organizational and cultural shifts AI adoption requires.

Required Qualifications

• 10+ years of progressive experience in business / strategy transformation, leveraging technology and data capabilities, or in technology leadership roles; 3+ years owning direct AI/ML or advanced analytics / technical platform programs.
• Demonstrated success building and scaling an AI or data analytics Center of Excellence, and/or leading enterprise-wide digital/AI transformation initiatives.
• Strong business acumen with the ability to translate technical AI capability into commercial and operational value propositions.
• Experience working within a global, matrixed organization; comfort navigating cross-cultural and cross-regional stakeholder dynamics.
• Working knowledge of AI governance, data privacy, and ethical AI frameworks.
• Experience leading transformation initiatives.
• Exceptional stakeholder management and executive communication skills, including experience presenting to senior leadership and boards.
• Bachelor’s degree required; MBA or advanced degree in a related field (computer or data science, business, engineering) preferred.

Preferred Experience

• Background in chemicals, manufacturing, or industrial B2B sectors.
• Familiarity with change management methodologies and experience leading large-scale technical capability-building programs.
• Expertise with major enterprise AI platforms (e.g., Microsoft Copilot, Azure AI, AWS Bedrock, Anthropic Claude, Gemini or similar) and modern data architecture concepts.
• Prior experience partnering with HR/Talent Management functions on workforce capability and AI-adjacent skills strategy.

What Success Looks Like In The First 12 Months

• A clear, prioritized AI opportunity roadmap endorsed by senior leadership.
• At least 2–3 high-impact AI use cases moved from pilot to scaled deployment with measurable business outcomes.
• A functioning governance framework and CoE operating model in place.
• Demonstrated improvement in cross-functional AI literacy and adoption, measured through engagement and capability assessments.

Pay

$200,000 – $260,000

Benefits

• Merit increases
• Paid holidays
• Paid Time Off
• Medical, dental, and vision insurance
• Short- and long-term disability benefits
• 401(k) with match
• Life insurance