{"id":1319779,"url":"https://alion.io/job/idirect-senior-manager-ai-enterprise-architecture","title":"Senior Manager, AI & Enterprise Architecture","company":{"id":1912629,"name":"iDirect","domain":"idirect.net","url":"https://alion.io/company/idirect-net","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"unspecified","remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":206000,"period":"year","method":"global_role_seniority_cell","sample_n":1900},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Confluence","optional":false},{"name":"Copilot","optional":false},{"name":"Fabric AI","optional":false},{"name":"Jira","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false}],"status":"live","first_seen_at":"2026-09-26T21:01:22Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-11-05T04:00:26Z","board_verified":true,"closed_at":null,"days_open":39,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":39},"description":"Overview\nAt ST Engineering iDirect, the Senior Manager, AI & Enterprise Architecture is responsible for driving the technical realization of iDirect’s AI-powered Business Excellence transformation through a combination of hands-on execution and architectural leadership.\nReporting to the VP, Technology & Information Security, this role defines architectural direction while actively building and delivering AI-enabled solutions, integrations, and platform capabilities that reduce manual effort, improve decision-making, and accelerate time-to-value.\nThis is a player-coach role requiring both deep technical execution and the ability to set standards, guide architecture, and scale solutions across the enterprise.\nRole Summary\nThis role owns both the design and delivery of AI-enabled solutions and enterprise architecture, ensuring business initiatives are translated into scalable, reusable, and measurable outcomes.\nKey focus areas include:\nEnterprise AI platform architecture and solution design\nHands-on development and deployment of AI/automation solutions\nBusiness-driven solutioning tied to measurable outcomes\nPlatform standardization and reuse\nIntegration, data, and orchestration architecture\nThe role operates across architecture → build → scale, ensuring that what is designed is also successfully implemented and adopted.\nResponsibilities\nKey Responsibilities\nHands-On AI Solution Delivery (Core Expectation)\nDesign, build, and deploy AI-driven and automation solutions across business processes\nDevelop and implement use cases such as: \nBid management automation\nFinancial reporting optimization\nSalesforce and customer workflow enhancements\nBuild solutions using: \nAI platforms (Copilot, Dataiku, LLM-based services)\nWorkflow automation / orchestration tools\nAPIs and integration layers\nActively contribute to prototyping, development, and solution debugging\nDrive rapid delivery of high-impact use cases (POC → production)\nThis role is expected to personally deliver and unblock critical solutions, not just direct teams\nEnterprise Architecture & Solution Design\nDefine and evolve the enterprise AI platform architecture, including: \nUnified data fabric\nAI orchestration layer\nAPI-first integration strategies\nTranslate business needs into end-to-end solution architectures and blueprints\nEstablish and enforce architecture principles, design patterns, and best practices\nEnsure solutions are: \nScalable and reusable\nSecure and compliant\nBuilt on shared platforms (not siloed tools)\nBusiness-Driven Solutioning\nPartner with business stakeholders to translate prioritized initiatives into implementable solutions\nEnsure all work ties directly to measurable KPIs: \nCycle time reduction\nCost savings\nProductivity gains\nCSAT / revenue impact\nProvide technical leadership on high-priority Business Excellence initiatives\nAI Platform Governance & Standardization\nEstablish and lead Architecture Review Board (ARB)\nEnforce use of: \nApproved platforms\nReusable components\nStandardized integration patterns\nPrevent tool proliferation and fragmented AI adoption\nDrive consolidation into a centralized AI platform model\nData, Integration & Platform Engineering\nDesign and implement architecture across core enterprise systems: \nSalesforce\nSAP / Finance systems\nJira / Confluence\nBuild and guide: \nAPI integrations\nEvent-driven workflows\nData pipelines and AI data layers\nEnable cross-system intelligence and automation at scale\nDelivery Acceleration & Enablement\nCreate reusable assets including: \nSolution templates\nArchitecture patterns\nAI and automation components\nStandardize solution delivery to reduce: \nTime-to-solution\nIntegration complexity\nAct as a hands-on escalation point for complex technical challenges\nTechnology Governance & Quality\nEnsure all solutions meet standards for: \nScalability\nSecurity\nMaintainability\nCost efficiency\nBalance speed vs architectural integrity\nReduce long-term technical debt while enabling fast execution\nCross-Functional Leadership\nAct as the technical bridge between business, ELT, and engineering teams\nInfluence prioritization using: \nValue vs effort\nArchitectural tradeoffs\nDrive alignment across Business Excellence, AI, DevOps, and IT functions\nEnsure strong adoption and real business impact of delivered solutions\nQualifications\nQualifications\nExperience\nBachelor’s degree in Computer Science, Engineering, or related field\n8-12+ years in enterprise technology, solution architecture, or platform engineering\nProven experience building and delivering production-grade solutions (not just designing)\nExperience leading architecture direction while remaining hands-on\nTechnical Expertise\nStrong hands-on experience with: \nAI/ML platforms (LLMs, copilots, AI services)\nAutomation frameworks and orchestration tools\nAPI and integration development\nExperience with: \nCloud platforms (Azure preferred)\nData pipelines and analytics platforms\nEnterprise systems (Salesforce, ERP, etc.)\nUnderstanding of: \nSecurity, governance, and compliance in AI systems\nDevOps / DevSecOps practices\nKey Characteristics of Success\nPlayer-coach mindset: leads by building, not just directing\nStrong ability to move from idea → architecture → working solution → scale\nBias toward execution and measurable outcomes\nAbility to enforce standards without slowing delivery\nStrong systems thinking across process, data, and technology\nComfortable operating in ambiguity and driving 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