AI Transformation Manager, Strategy & Operations; Dubai

Position: AI Transformation Manager, Strategy & Operations (Based in Dubai)
DUBAI BASED ROLE.  Relocation would be required but with highly competitive, tax free salary package.

Company Profile:

Property Finder is the leading digital real estate platform in the Middle East and North Africa region.
A UAE-born startup, Property Finder expanded its operations to Qatar, Bahrain, Saudi Arabia, Egypt and Turkey over the years
The company is one of the largest technology start-ups in the region and Tech Unicorn.

Role

Summary:

AI is one of Properyt Finder's top bets, but realizing its value requires cross-functional orchestration across product, engineering, commercial and marketing. The role is to drive AI use-cases end-to-end i.e. owning the roadmap, delivery, and go-to-market that turn high-value use cases into measurable impact across how the company sells, serves it's customers, and operates.

Key Responsibilties:
1. AI Strategy & Use-Case Ownership
Own the AI transformation roadmap for the company, prioritizing use cases, and driving consensus across key stakeholders on the same.
Translate opportunities into clearly scoped initiatives with defined success metrics, owners, and timelines.
Maintain a sharp view of the company's priorities, ensuring AI initiatives are sequenced against the problems that matter most.
2. AI Product Delivery
Drive the end-to-end delivery of AI products and agents - spanning conversational and voice agents, AI-generated client narratives, and internal/external productized tools - from build through testing, go-live, and iteration.
Set and hold quality and performance bars (e.g. accuracy targets, latency, conversation quality), and define the test cases and acceptance criteria required for go-live.
Run disciplined launch governance, including mandatory Go/No-Go decisions, milestone calendaring, and structured course-correction when risks surface.
Partner closely with Product and Engineering to unblock delivery, and manage external AI vendors and partners against scope, cost, and quality.
3. Go-to-Market & Client Rollout
Design and execute the GTM for AI products - defining target segments, decision-maker outreach, launch sequencing, and enablement.
Build the supporting assets and operating model for rollout: sales scripts, communication templates, support flows, manuals, and beta framing.
Coordinate sales leaders, business consultants, and client-facing teams through structured testing and launch, and establish feedback loops to capture qualitative and quantitative outcomes from clients.
4. Impact, Adoption & Reporting
Define and track the metrics that prove value - adoption, accuracy, ROI, token/cost efficiency, and downstream commercial impact - and instrument initiatives so impact is measurable.
Consolidate stakeholder and client feedback into trackers and structured reviews that drive the next iteration.
Communicate progress, risks, and outcomes through concise,  so-what
-focused updates to senior leadership and the executive team, running a regular check-in cadence on the AI agenda.
5. Cross-Functional Leadership
Act as the connective layer across Strategy, Product, Engineering, Commercial, and external partners, aligning them around shared goals and timelines.
Influence and align senior stakeholders, sequencing the right people into the right decisions at the right time.
Coach and direct junior team members and contributors supporting AI work streams, raising the bar on execution quality across the group.

Desired

Qualifications:

5–6 years of experience in a high-performance environment (top-tier consulting + strategy, product, or AI/technology), with a track record of shipping initiatives to outcomes.
Prior work in software engineering is a plus.
Demonstrated ability to deliver complex, cross-functional projects end-to-end - structuring ambiguous problems, driving execution, and managing risk and stakeholders to a result.
Strong fluency with applied AI - practical understanding of LLMs, agents, and AI product workflows - and the judgment to know where AI does and does not create value.
Experience driving go-to-market or commercial rollout, ideally with client-facing or sales stakeholders.
Comfort with data: able to define metrics, work with data to diagnose and decide, and build a compelling, insight-led business case.
Excellent storytelling and executive communication — able to build crisp narratives and presentations for senior and executive audiences.
Ability to work with and influence people at all levels of the organization, and to direct or coach others on delivery.
Fluency in English with strong oral and written communication skills.
Strong command of MS Excel and MS PowerPoint, with an eye for detail.