Summary
Jazeera Paints is seeking an AI Transformation Director in Riyadh, Saudi Arabia, to define and lead its organization-wide AI transformation agenda. The role will identify and prioritize initiatives, build business cases, manage the AI portfolio, and track measurable business outcomes. It will coordinate business, technology, data, cybersecurity, legal, compliance, procurement, and external partners while establishing responsible AI governance. The director will also guide adoption, capability development, and the operating model needed to scale successful initiatives.
The posting
As published on jazeerapaints.com. Pulled from the employer's site and shown as they wrote it.
Role Purpose:
Defineand accelerate the organization’s AI transformation agenda by leveraging artificial intelligence, generative AI, intelligent automation, and advanced analytics to improve business performance, operational efficiency, customer experience, and decision-making. Establish a scalable, responsible, and sustainable AI operating model aligned with corporate strategy, business priorities, governance requirements, and long-term value creation.
Key Accountabilities:
AI Strategy and Transformation Roadmap
- Define and maintain the organization's AI transformation strategy, aligned with corporate objectives and business priorities.
- Assess organizational AI maturity, identify transformation opportunities, and evaluate readiness across business functions.
- Develop a prioritized AI roadmap covering short-, medium-, and long-term initiatives.
- Identify opportunities for generative AI, intelligent automation, predictive analytics, and AI-enabled process redesign.
- Develop business cases, investment proposals, and value realization plans for priority AI initiatives.
- Advise executive leadership on AI opportunities, risks, emerging technologies, and strategic implications.
Business Transformation and Value Realization
- Partner with business leaders to identify high-impact use cases across operations, finance, customer service, commercial functions, HR, and other relevant areas.
- Translate business challenges into clearly defined AI-enabled transformation initiatives.
- Challenge existing processes and operating models to identify opportunities for redesign, simplification, and automation.
- Establish measurable outcomes for AI initiatives, including productivity improvements, cost optimization, revenue growth, service quality, and customer experience.
- Monitor benefits realization and ensure initiatives deliver sustainable business value beyond proof-of-concept activities.
- Promote the integration of AI into core business processes rather than treating AI as a standalone technology initiative.
AI Portfolio and Program Leadership
- Establish and manage a portfolio of AI transformation initiatives, including prioritization, dependencies, milestones, budgets, and delivery risks.
- Lead initiatives from opportunity identification and business case development through experimentation, deployment, adoption, and benefits measurement.
- Coordinate business stakeholders, IT, data teams, cybersecurity, legal, compliance, procurement, and external partners.
- Establish clear ownership, accountability, governance, and decision-making mechanisms for each initiative.
- Track portfolio performance and communicate progress, challenges, and decisions required to executive leadership.
- Ensure successful pilot initiatives have a credible path to production deployment, adoption, and scale.
AI Governance, Risk, and Responsible Adoption
- Collaborate with relevant functions to establish appropriate AI governance, policies, standards, and approval processes.
- Ensure AI initiatives address data privacy, information security, regulatory compliance, intellectual property, model risk, and ethical considerations.
- Define appropriate controls for human oversight, transparency, accountability, and the use of AI-generated outputs.
- Work with data and technology teams to assess data readiness, technical feasibility, architecture, and integration requirements.
- Promote responsible AI adoption consistent with applicable regulations and organizational risk appetite.
Organizational Adoption and Capability Development
- Build awareness and understanding of AI opportunities and limitations among executives, managers, and employees.
- Develop change management and adoption approaches for AI-enabled processes and new ways of working.
- Identify capability gaps and recommend targeted AI training, upskilling, and knowledge-sharing initiatives.
- Establish mechanisms for capturing lessons learned, sharing reusable solutions, and scaling successful practices.
- Foster a business-led, outcome-oriented culture of AI experimentation and continuous improvement.
Operating Model and Future Capability Development
- Define the proposed AI transformation operating model, including business ownership, technology delivery, governance, and decision rights.
- Establish a network of business stakeholders and initiative owners to support delivery without requiring an immediate dedicated team.
- Identify the capabilities, roles, resources, and partnerships required to scale the AI transformation agenda.
- Develop a phased plan for establishing a dedicated AI transformation function when justified by portfolio size, delivery demand, and business value.
- Recommend the appropriate balance between internal capabilities, technology vendors, consulting partners, and managed services.