AI Strategy and Operations Analyst
CA$150,000 – CA$200,000 / yr base salary
Posted 25 Sep 2026
Advertised as “Sr. AI Strategy and Operations Analyst”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3–6 yrs
- Management level
- Individual contributor
| Base salary | CA$150,000 – CA$200,000 / yr |
|---|
Field of studyBusiness Analytics, Computer Science, Data Science, Economics, Engineering, Information Systems, Mathematics, Statistics (or related)
Study levelBachelor's
About AppLovin
AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com.
To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.
About the Role:
We are looking for someone to join our AI Strategy team to drive the adoption of AI and automation across business teams. This role will sit at the intersection of business operations, data, engineering, and AI, helping teams turn manual workflows into scalable, secure, and measurable AI-enabled processes.
What success looks like in this role:
Success means enabling teams across the organization to use AI safely and with increasing independence, replacing manual processes with repeatable workflows, scaling high-impact use cases across functions, and delivering measurable improvements in productivity, quality, reliability, and operational risk.
Responsibilities:
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Define and execute AI adoption roadmaps across business functions.
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Partner with Finance, Legal, HR, and other teams to identify high-value opportunities for AI, automation, and workflow improvement.
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Build monitoring and alerting for AI-powered data pipelines, integrations, and automations.
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Establish clear documentation for dashboards, metrics, data sources, ownership, and calculation logic.
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Operate an internal AI skills and automation program, including:
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User onboarding and enablement
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Contributor and skill-author approvals
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Security and governance reviews
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Adoption, usage, and quality tracking
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Build, launch and manage team-specific libraries of reusable AI skills, tools, and workflows.