Sr. AI Strategy and Operations Analyst

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: .

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:

• 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 safe 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.

• 36 years of relevant experience in business operations strategy data automation engineering AI consulting or a related technical/operational role.
• Experience independently owning or driving cross-functional technology automation data or AI initiatives from problem definition through implementation and adoption.
• Strong understanding of business operations and the ability to translate ambiguous operational problems into practical technical solutions.
• Comfortable working with APIs databases cloud infrastructure identity systems Git-based workflows and automation platforms.
• Strong working knowledge of Python and SQL.
• Familiarity with major LLM-based tools and platforms; experience building AI workflows agentic systems reusable skills automation loops or autonomous workflows is strongly preferred.
• Experience integrating enterprise systems data platforms spreadsheets APIs and third-party services.
• Ability to establish lightweight governance and security controls without unnecessarily slowing adoption.
• Strong communication skills and the ability to work effectively with senior stakeholders as well as technical and non-technical teams.
• A practical ownership-oriented mindset focused on deploying solutions that are scalable reliable measurable secure and reusable.

• Bachelors degree in Computer Science Engineering Data Science Information Systems Business Analytics Economics Mathematics Statistics or another quantitative or technically oriented field.
• Equivalent practical experience may be considered in place of a specific degree.
• Experience in business operations consulting strategy and operations analytics technical program management automation or internal tooling is preferred.
• Demonstrated experience deploying AI automation or data solutions into real business workflows.
• Experience with cloud platforms such as GCP AWS or Azure source control such as Git/GitHub and enterprise identity or access-management systems.
• Familiarity with AI governance data classification security reviews access controls monitoring or workflow/model evaluation.
• Experience independently identifying high-impact opportunities designing solutions and driving adoption across multiple teams.
• Experience working in a fast-paced technology company or similarly high-ownership environment is a plus.