Sr Mgr, Software Engineering

Overview In this role you drive AI and automation within Disney’s DX Transformation portfolio, guiding end-to-end delivery of high-impact AI use cases. You’ll lead a team to design reusable accelerators and partner with technology groups to align roadmaps and governance. You’ll translate AI value into measurable business outcomes and communicate progress to executive leaders. This role combines technical leadership with cross-functional influence to scale AI across multiple programs. Compensation / Benefitsbonus and/or long-term incentive unitsmedical benefitscompetitive compensation rangeopportunity to influence enterprise AI strategy ResponsibilitiesDefine and own AI and automation strategy aligned to business goals, delivering end-to-end execution from concept to productionDesign reusable AI/automation accelerators and patterns for deployment across multiple DX businessesCoordinate with technology teams on AI capability roadmaps, data readiness, and AI governanceSet delivery standards for AI/automation engineering including design, testing, deployment, and monitoringEnsure engineering quality and scalable solution delivery across programsLead and develop a high-performing team with clear direction and accountabilityAct as a strategic partner to senior leaders, shaping AI expectations and co-designing solutionsCommunicate strategy and outcomes to executive audiences with business-focused narratives Key requirements10+ years in AI, ML, data engineering, or automation3+ years in a leadership role managing technical teamsProven delivery of AI/automation from concept to production in complex organizationsDeep fluency in applied AI/ML, LLMs, generative AI, RPA, and orchestrationAbility to translate AI capability into a business case and realize value post-deploymentExperience designing scalable reusable AI/automation frameworksExperience integrating AI/automation with enterprise data platforms and workflowsStrong cross-functional leadership and executive influenceExecutive communication skills for VP/SVP audiencesExperience in enterprise/segment-wide contexts with scalable solutionsExecutive-level communicationInfluence without authorityDelivery excellence and accountabilityApplied AI/ML including LLMs, generative AI, RAG, agentic AIML lifecycle management: training, evaluation, deployment, monitoring, governanceAzure OpenAI, AWS SageMaker, Databricks