Senior AI Strategy and Operations Analyst

Join our AI Strategy team as a Senior AI Strategy and Operations Analyst. In this role, you will drive the adoption of AI and automation across business teams, helping to turn manual workflows into scalable, secure, and measurable AI-enabled processes. You will partner with various teams to identify high-value opportunities for AI and automation, build monitoring and alerting for AI-powered data pipelines, and establish clear documentation for dashboards and metrics. Additionally, you will operate an internal AI skills and automation program, coordinate secure integrations between AI tools and enterprise systems, and develop reusable automation patterns. The ideal candidate will have experience in business operations, strategy, data, automation, engineering, AI, consulting, or a related technical/operational role.

- Definire e attuare roadmap per l'adozione dell'IA in diverse funzioni aziendali, collaborando con team come Finanza, Legale e HR per identificare opportunità ad alto valore. - Costruire monitoraggio e allerta per pipeline di dati potenziate dall'IA, integrazioni e automazioni, stabilendo documentazione chiara per dashboard e metriche. - Gestire un programma interno di competenze e automazione dell'IA, inclusi onboarding, approvazioni e tracciamento dell'adozione.

- Experience independently owning or driving cross-functional technology, automation, data, or AI initiatives from problem definition through implementation and adoption - 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 working knowledge of Python and SQL - Strong communication skills and the ability to work effectively with senior stakeholders as well as technical and non-technical teams - Familiarity with major LLM-based tools and platforms; experience building AI workflows, agentic systems, reusable skills, automation loops, or autonomous workflows is strongly preferred - 3–6 years of relevant experience in business operations, strategy, data, automation, engineering, AI, consulting, or a related technical/operational role - Comfortable working with APIs, databases, cloud infrastructure, identity systems, Git-based workflows, and automation platforms - A practical, ownership-oriented mindset focused on deploying solutions that are scalable, reliable, measurable, secure, and reusable - Strong understanding of business operations and the ability to translate ambiguous operational problems into practical technical solutions - Bachelor’s 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 - Experience with cloud platforms such as GCP, AWS, or Azure, source control such as Git/GitHub, and enterprise identity or access-management systems - Demonstrated experience deploying AI, automation, or data solutions into real business workflows - 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