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 general, 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.

Key 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.

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

📌 Director, Ai Transformation & Intelligent Business Enablement 1 (Río Henares)
🏢 Sun Chemical
📍 Río Henares