AI Transformation Portfolio Manager

About Us Binghatti is one of the UAE’s most dynamic and fast-growing property brands, headquartered in Dubai. We’re known for bold architecture, visionary design, and partnerships with global luxury icons such as Bugatti, Mercedes-Benz, and Jacob & Co. With a portfolio exceeding AED 15 billion across Dubai’s most prestigious developments, Binghatti continues to transform the city’s skyline and set new standards for innovation and excellence. Job Summary Lead the digital transformation portfolio, ensuring effective PMO governance, project delivery, budget and resource management, while driving the identification, delivery and adoption of AI and automation initiatives across the business. The role will act as the bridge between Business, Technology, Data and AI teams, ensuring AI initiatives move from opportunity identification and proof-of-concept through implementation, adoption and measurable business benefits. Key Responsibilities Portfolio & PMO • Manage the portfolio of digital transformation, technology and AI projects. • Establish PMO governance, standards, priorities and delivery methodology. • Monitor scope, schedule, budget, resources, risks, issues and dependencies. • Prepare portfolio dashboards, executive reports and Steering Committee updates. • Manage vendors, stakeholders, procurement and project governance. • Drive benefits realization and successful handover to operations. AI & Automation • Identify and prioritize AI, GenAI and automation opportunities across business functions. • Manage AI initiatives from business case and PoC through production deployment and adoption. • Work with AI/Technology teams on LLM, AI agents, RAG, MCP, automation and data-driven solutions. • Evaluate AI use cases based on business value, feasibility, risk and ROI. • Drive adoption, user onboarding, training and change management for AI solutions. • Ensure appropriate consideration of AI security, PII, access controls and responsible AI. • Establish AI project roadmaps, milestones, KPIs and benefits tracking. Technical & Functional Skills PMO • Project & Portfolio Management • Agile & Waterfall • Budget & Financial Management • Risk, Issue & Dependency Management • Vendor & Stakeholder Management • Resource Planning & Executive Reporting • Jira, Azure DevOps, Power BI, MS Project, Excel, PowerPoint AI & Digital • Generative AI & LLM concepts • AI Agents & Agentic Workflows • Prompt Engineering • RAG & Vector Databases • MCP and LLM tool integrations • Workflow Automation – n8n or similar • Python & SQL – working knowledge • REST APIs, Webhooks, JSON • AI Governance, Security, PII & Access Controls • AI adoption and change management The AI technical requirements are drawn from the specialist JD, including SQL, Python, MCP, n8n, LLM/agent design, APIs, Git, RAG and AI security. Mandatory Experience Candidates must have proven hands-on experience AI/LLM development projects within the UAE real estate industry, with hands-on exposure to AI transformation, automation, data, or technology-led business transformation. Qualifications • Bachelor's degree in Engineering, Computer Science, Business, or a related field. • PMP Certification (Mandatory). • PMI-PgMP, PMI-PfMP, PRINCE2, Agile, or Scrum certifications are preferred. Why Work for Us At Binghatti, we don’t just build properties—we build legacies. You’ll join a team driven by ambition, creativity, and excellence, where ideas move fast and every project makes a statement. Working alongside some of the brightest minds in real estate, you’ll contribute to iconic developments that define Dubai’s future. If you’re ready to be part of a company shaping history, Binghatti is where your story begins. Show more Show less

Bachelor's degree in Engineering, Computer Science, Business, or a related field. PMP Certification (Mandatory). PMI-PgMP, PMI-PfMP, PRINCE2, Agile, or Scrum certifications are preferred.

Portfolio & PMO: Manage the portfolio of digital transformation, technology and AI projects. Establish PMO governance, standards, priorities and delivery methodology. Monitor scope, schedule, budget, resources, risks, issues and dependencies. Prepare portfolio dashboards, executive reports and Steering Committee updates. Manage vendors, stakeholders, procurement and project governance. Drive benefits realization and successful handover to operations. AI & Automation: Identify and prioritize AI, GenAI and automation opportunities across business functions. Manage AI initiatives from business case and PoC through production deployment and adoption. Work with AI/Technology teams on LLM, AI agents, RAG, MCP, automation and data-driven solutions. Evaluate AI use cases based on business value, feasibility, risk and ROI. Drive adoption, user onboarding, training and change management for AI solutions. Ensure appropriate consideration of AI security, PII, access controls and responsible AI. Establish AI project roadmaps, milestones, KPIs and benefits tracking.