Director Product Management

Roles and Responsibilities :

• Develop and execute product strategies to drive business growth, revenue expansion, and customer satisfaction.
• Collaborate with cross-functional teams to design, launch, and maintain products that meet market needs and company goals.
• Analyze market trends, competitor activity, and customer feedback to inform product decisions.
• Manage multiple projects simultaneously, prioritizing tasks effectively to meet deadlines.

Job Requirements :

AI Product Strategy and Portfolio
• Define the enterprise AI product vision, strategic priorities, operating model and multi-year roadmap aligned with DAMAC's business objectives.• Govern the opportunity and use-case portfolio using measurable value, strategic fit, feasibility, data readiness, risk and adoption criteria.• Recommend investment priorities and maintain an executive view of portfolio progress, dependencies, benefits, risk and capacity.

Product Delivery and Engineering
• Direct product discovery, architecture, engineering, testing, release and adoption across the AI product lifecycle.• Establish delivery standards and quality gates covering cybersecurity, privacy, responsible AI, data governance, resilience, observability and cost.• Ensure teams use reusable platforms, patterns and partnerships to accelerate delivery without weakening quality or control. 

Product Operations and Value Realisation
• Own portfolio outcomes including adoption, realised benefits, service reliability, user satisfaction and total cost of ownership.• Ensure effective DevOps, AI monitoring, incident management, L2/L3 support and continuous improvement for products in production.• Use product analytics, operational insight and stakeholder feedback to guide investment, optimisation and retirement decisions.

Leadership and Stakeholder Management
• Build and lead a high-performing multidisciplinary AI product organisation with clear accountability, capability plans and progression paths.• Act as the executive point of accountability for AI products and provide transparent decisions, status, risks and recommendations to governance forums.• Manage strategic delivery partners and vendors against approved commercial, security, performance and knowledge-transfer expectations.