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

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

Define and execute AI adoption roadmaps across business functions

Partner with Finance, Legal, HR, and other teams to identify high-value opportunities for AI, automation, and workflow improvement

Build monitoring and alerting for AI-powered data pipelines, integrations, and automations

Establish clear documentation for dashboards, metrics, data sources, ownership, and calculation logic

Operate an internal AI skills and automation program, including:

User onboarding and enablement

Contributor and skill-author approvals

Security and governance reviews

Adoption, usage, and quality tracking

Build, launch and manage team-specific libraries of reusable AI skills, tools, and workflows

Develop and support internal AI champions and power users across the organization

Coordinate secure integrations between AI tools and enterprise systems, data platforms, APIs, spreadsheets, and third-party services

Partner with IT, Security, Engineering, Data, and business teams to establish the required cloud, source-control, identity, permissions, and service-account infrastructure

Develop reusable automation patterns for moving data between Python-based workflows, APIs, databases, spreadsheets, and internal systems

Translate operational business processes into reusable AI capabilities, including:

Multi-source data reconciliation

Query and scripting assistance





Data-import troubleshooting

Integration diagnostics

Audit and evidence collection

User-access and permissions reviews

Reporting and operational workflow automation

Interview business users to assess AI maturity, identify high-value use cases, surface capability gaps, and develop internal champions

Create practical data-classification and governance guidance for protected AI use

Define and track success metrics across adoption, quality, time savings, reliability, operational efficiency, and risk reduction

Build a repeatable onboarding framework and establish standards and reusable patterns that allow new teams to adopt AI safely and efficiently, and successful workflows to scale across teams rather than remaining isolated solutions

Benefits

100% company paid health benefits for employees & dependent

Phone bill covered for business usage

Access to mental health and wellness provider

Flexible time off

Employee stock purchase plan

Retirement benefits with company matching

Parental leave program

Life and disability coverage

Family forming & women’s reproductive health benefits

Team-centric company events and more!

Experience independently owning or driving cross-functional technology, automation, data, or AI initiatives from problem definition through implementation and adoptionExperience integrating enterprise systems, data platforms, spreadsheets, APIs,



and third-party servicesAbility to establish lightweight governance and security controls without unnecessarily slowing adoptionStrong working knowledge of Python and SQLStrong communication skills and the ability to work effectively with senior stakeholders as well as technical and non-technical teamsFamiliarity with major LLM-based tools and platforms;

experience building AI workflows, agentic systems, reusable skills, automation loops, or autonomous workflows is strongly preferred3–6 years of relevant experience in business operations, strategy, data, automation, engineering, AI, consulting, or a related technical/operational roleComfortable working with APIs, databases, cloud infrastructure, identity systems, Git-based workflows, and automation platformsA practical, ownership-oriented mindset focused on deploying solutions that are scalable, reliable, measurable, secure, and reusableStrong understanding of business operations and the ability to translate ambiguous operational problems into practical technical solutionsBachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, Business Analytics, Economics, Mathematics, Statistics, or another quantitative or technically oriented fieldEquivalent practical experience may be considered in place of a specific degreeExperience in business operations, consulting, strategy and operations, analytics, technical program management, automation, or internal tooling is preferredExperience with cloud platforms such as GCP, AWS, or Azure, source control such as Git/GitHub, and enterprise identity or access-management systemsDemonstrated experience deploying AI, automation, or data solutions into real business workflowsFamiliarity with AI governance, data classification, security reviews, access controls, monitoring, or workflow/model evaluationExperience independently identifying high-impact opportunities, designing solutions, and driving adoption across multiple teamsExperience working in a fast-paced technology company or similarly high-ownership environment is a plus

📌 Senior AI Strategy and Operations Analyst (Toronto)
🏢 AppLovin
📍 Toronto