Senior Ai Strategy And Operations Analyst

We are looking for someone to join our AI Strategy team to drive the adoption of AI and automation across business teamsThis 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 processesSuccess 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 riskDefine and execute AI adoption roadmaps across business functionsPartner with Finance, Legal, HR, and other teams to identify high-value opportunities for AI, automation, and workflow improvementBuild monitoring and alerting for AI-powered data pipelines, integrations, and automationsEstablish clear documentation for dashboards, metrics, data sources, ownership, and calculation logicOperate an internal AI skills and automation program, including:User onboarding and enablementContributor and skill-author approvalsSecurity and governance reviewsAdoption, usage, and quality trackingBuild, launch and manage team-specific libraries of reusable AI skills, tools, and workflowsDevelop and support internal AI champions and power users across the organizationCoordinate secure integrations between AI tools and enterprise systems, data platforms, APIs, spreadsheets, and third-party servicesPartner with IT, Security, Engineering, Data, and business teams to establish the required cloud, source-control, identity, permissions, and service-account infrastructureDevelop reusable automation patterns for moving data between Python-based workflows, APIs, databases, spreadsheets, and internal systemsTranslate operational business processes into reusable AI capabilities, including:Multi-source data reconciliationQuery and scripting assistanceData-import troubleshootingIntegration diagnosticsAudit and evidence collectionUser-access and permissions reviewsReporting and operational workflow automationInterview business users to assess AI maturity, identify high-value use cases, surface capability gaps, and develop internal championsCreate practical data-classification and governance guidance for safe AI useDefine and track success metrics across adoption, quality, time savings, reliability, operational efficiency, and risk reductionBuild 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 solutionsBenefits
100% company paid health benefits for employees & dependentPhone bill covered for business usageAccess to mental health and wellness providerFlexible time offEmployee stock purchase planRetirement benefits with company matchingParental leave programLife and disability coverageFamily forming & women’s reproductive health benefitsTeam-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
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