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Central Operations & AI Transformation Manager

Mirai Arabian International Company Limited

Riyad Al Khabra

On-site

SAR 150,000 - 200,000

Full time

Today
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Job summary

A prominent video game development studio in Riyadh is seeking a leader for their AI initiatives. This role involves identifying business problems solved by AI and collaborating with engineering teams to implement effective solutions. The ideal candidate will have substantial experience in AI/ML, strong stakeholder management skills, and the ability to communicate technical concepts to diverse teams. The position offers benefits like VIP medical insurance and gym allowances.

Benefits

VIP Medical Insurance
Gym Allowances

Qualifications

  • 2+ years in AI / ML implementation with 5+ years in a leadership role.
  • Proven track record of building and deploying AI products.
  • Ability to communicate technical concepts to non-technical staff.

Responsibilities

  • Identify business problems suitable for AI solutions.
  • Work with engineering to design and implement AI solutions.
  • Manage stakeholder expectations and concerns about AI.

Skills

Experience in AI / ML implementation
Stakeholder management
Technical knowledge of LLMs, APIs, data pipelines
Business sense
Communication skills

Tools

OpenAI
Claude
Snowflake
Tableau
Job description

Department : Central Operations

Location : Riyadh, Saudi Arabia

Reports to : Head of Operations

Direct reports : ERP Project Coordinator, GenAi developer (possibly)

What We Do

Mirai, is a Riyadh-based video game development studio. It is a subsidiary of Scopely, a global interactive entertainment company, and part of the Savvy Games Group. We're looking for someone to lead our AI initiatives and help our teams work faster and smarter using AI.

The Role

You'll be the bridge between our business teams (Product, Analytics, Finance, HR, Marketing etc.) and our Engineering teams. Your job is to figure out where AI can actually help, build solutions that people use, and make sure we're getting real value from our AI investments.

Simply put : You find business problems AI can solve, work with Engineering to build solutions, and make sure people actually use them.

What You'll Do

Strategy & Prioritization (30%)

  • Identify which business problems are worth solving with AI
  • Decide what to build, what to buy, and what to skip
  • Calculate ROI and make sure we're investing in the right things
  • Say "no" when AI isn't the answer

Stakeholder Management (30%)

  • Work with the business teams to understand their problems
  • Get buy-in from skeptical teams who don't trust AI
  • Set realistic expectations with executives
  • Handle concerns about data security, accuracy, and privacy

Technical Execution (25%)

  • Work with Engineering Leads to design solutions
  • Brief Project Managers on requirements and timelines
  • Choose the right tools and technologies (OpenAI, Claude, vector databases, etc.)
  • Make build vs. buy decisions
  • Spot technical risks before they become problems

Adoption & Relationships (15%)

  • Make sure people actually use what we build
  • Build trust with teams who are skeptical about AI
  • Train teams on new AI tools
  • Keep AI solutions maintained and improving
What You'll Need

Required :

  • Experience : 2+ years in AI / ML implementation, with 5+ years in a leadership role
  • Proven track record : You've actually built and shipped AI products that people use
  • Stakeholder management : You can handle skeptical teams, impatient executives, and worried finance people
  • Technical knowledge : You understand LLMs, APIs, data pipelines, and can have meaningful conversations with engineers (you don't need to code, but you need to know what's possible)
  • Business sense : You can calculate ROI, prioritize based on value, and know when to stop a project
  • Communication : You can explain technical stuff to non-technical people and business problems to engineers

Nice to Have :

  • Gaming industry experience
  • Experience with Snowflake, Tableau, or similar analytics tools
  • Background in analytics or data science
  • Experience building AI tools for internal teams (not just customer-facing)
Benefits
  • VIP Medical Insurance.
  • Gym Allowances.
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