Automation & Modernization Manager
Job SummaryThe Automation & Modernization Manager is a senior technical leadership role responsible for defining and governing the target architecture for AI, automation, integrations, and business intelligence (BI) solutions across the organization. The role leads two closely aligned teams: the Integrations, Data & BI team and the Automation team focused on the Auxis Prometheus program. In addition to platform and architecture leadership, this role provides strong oversight of AI‑oriented development practices, ensuring modern software development lifecycle (SDLC) standards are applied across AI, data, and automation initiatives. Acting as a bridge between business stakeholders and technical teams, the Automation & Modernization Manager ensures solutions are modular, scalable, secure, and production‑ready.ResponsibilitiesProvide overall leadership for the Integrations, Data & BI team and the Prometheus Automation teamLead architectural and delivery governance for the Auxis Prometheus program, ensuring alignment with enterprise AI and modernization strategyDefine and own the target architecture vision across integrations, data, BI, AI, and automation platformsOversee AI‑oriented development teams, ensuring strong practices across NLP solutions, Python‑based services, prompt engineering, and related AI technologiesEnsure consistent application of the software development lifecycle (SDLC) across AI, automation, and data initiativesGovern integration, data engineering, and BI standards (e.g., APIs, data lakes, lakehouse, analytics platforms)Provide architectural oversight for data vectorization, analytics, and AI‑ready data pipelinesSet direction and guardrails for prompt processing, AI orchestration, and analytics consumptionEnsure effective integration of conversational, automation, and BI interfaces across chat, voice, and reporting channelsTranslate business objectives into secure, cost‑effective technical and analytics solutionsLead multidisciplinary teams from concept through production delivery, ensuring quality, scalability, and reuseSkills And Experience English – Spanish Language (Oral and writing B2+ or above). Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience8+ years of progressive experience in technology roles spanning architecture, integrations, data, automation, analytics, or platform leadershipProven experience leading software development teams, particularly in AI‑oriented domains such as NLP, Python‑based services, and prompt‑driven solutionsStrong understanding of modern SDLC practices applied to AI and data‑driven developmentDemonstrated experience leading enterprise‑scale modernization or transformation initiatives, including programs such as PrometheusProven ability to define and govern end‑to‑end solution architectures across cloud environmentsExperience managing and leading multiple multidisciplinary technical teamsStrong understanding of cloud platforms (AWS and/or Azure) and modern data architecturesExperience overseeing integrations, data platforms, analytics, or BI solutions, including data lakes or lakehouse‑style environmentsAbility to translate business requirements into scalable, secure, and cost‑effective technical solutionsStrong stakeholder management and communication skillsDemonstrated track record of delivering production‑ready solutions and driving organizational adoptionPreferred QualificationsExperience overseeing enterprise BI and analytics ecosystems (e.g., Microsoft Fabric, Power BI)Familiarity with enterprise integration patterns and API management platformsExposure to AI governance, responsible AI, data privacy, or compliance frameworksExperience operating in hybrid or multi‑cloud environmentsBackground in managed services, shared services, or consulting environmentsStrong executive‑level communication and presentation skills