Enable job alerts via email!

Central Operations & AI Transformation Manager

Mirai Arabian International Company Limited

Riyadh

On-site

SAR 150,000 - 200,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading video game development studio in Riyadh is looking for an AI Lead to bridge business and engineering teams. In this role, you will identify valuable AI opportunities, drive technical execution, and ensure user adoption of AI tools. Candidates should have 2+ years of AI/ML implementation experience and at least 5 years in leadership roles. This is a great opportunity to shape the future of AI in gaming.

Benefits

VIP Medical Insurance
Gym Allowances

Qualifications

  • 2+ years in AI/ML implementation, with 5+ years in a leadership role.
  • Ability to handle skeptical teams and impatient executives.
  • Understanding of data pipelines and meaningful technical discussions with engineers.

Responsibilities

  • Identify business problems that AI can solve.
  • Work with business teams to understand their challenges.
  • Design technical solutions in partnership with Engineering Leads.

Skills

Experience in AI/ML implementation
Proven track record of building AI products
Stakeholder management
Technical knowledge of LLMs and APIs
Business acumen to calculate ROI
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)
  • VIP Midecal Insurance.
  • GYM Allownces.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.