{"id":2121836,"url":"https://alion.io/job/fujitsu-pre-sales-solution-architect-data-services-analytics-aiml-data-platforms","title":"Pre-Sales Solution Architect - Data Services, Analytics, AI/ML & Data Platforms","company":{"id":896,"name":"Fujitsu","domain":"fujitsu.com","url":"https://alion.io/company/fujitsu-poland-sp-z-o-o","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, 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Shifts, Technology Partners, and Global Solution Architects to qualify opportunities, define solution, design delivery roadmaps, respond to RFPs, create differentiated solutions, and articulate the business value of Data & AI-led transformation.\nKey Responsibilities\nOpportunity Qualification\nEngage with region / customers to understand business objectives, challenges, data maturity, and transformation priorities.\nLead discovery workshops, assessments, and discussions across business and technology stakeholders.\nIdentify opportunities for Data Modernization, Data Migration, Analytics Transformation, AI Enablement, Data Governance, and Managed Services.\nSolution Architecture & Design\nDesign end-to-end Data & AI solutions encompassing:\nData Platforms\nModern Data Warehouses\nData Lakes and Lakehouse Architectures\nData Integration & Engineering\nBusiness Intelligence & Analytics\nAI/ML Platforms\nData Governance & Data Quality\nDataOps & MLOps\nDefine target-state architectures, operating models, roadmaps, and implementation approaches.\nCreate scalable, secure, resilient, and cost-effective cloud-native architectures.\nRFP Response & Solution Development\nLead solution development for RFPs, RFIs, proposals, and customer presentations.\nDevelop solution narratives, effort estimations, assumptions, risks, and transition strategies.\nCollaborate with delivery teams to create commercially viable and technically feasible solutions.\nContribute to pricing models, resource plans, and service definitions.\nCore Technical Expertise\nData Platform & Data Engineering\nData Lakes\nData Warehouse\nLakehouse Architectures\nEnterprise Data Platforms\nData Mesh\nData Fabric\nData Integration\nETL / ELT Design\nData Modelling\nMaster Data Management\nAnalytics & Business Intelligence\nEnterprise Reporting\nSelf-Service Analytics\nOperational Intelligence\nDashboard Strategy\nKPI Frameworks\nData Storytelling\nArtificial Intelligence & Machine Learning\nMachine Learning Lifecycle\nPredictive Analytics\nData Science\nMLOps\nAI Governance\nResponsible AI\nGenerative AI\nAI Agents\nCognitive Services\nPlatforms and ecosystems include Azure ML, AWS SageMaker, Databricks, Palantir, TensorFlow and Scikit-learn capabilities reflected in current Fujitsu Data & AI solutions.\nDataOps & MLOps\nCI/CD for Data Pipelines\nData Observability\nData Reliability Engineering\nPipeline Automation\nDevSecOps Integration\nMonitoring & Continuous Improvement\nCloud Data Platforms\nMicrosoft Azure\nAzure Data Factory\nAzure Synapse\nAzure Databricks\nAzure Data Lake\nMicrosoft Fabric\nAzure Machine Learning\nAzure Purview\nAWS\nAWS Glue\nRedshift\nS3\nGCP\nBigQuery\nDataflow\nVertex AI\nModern Data Platforms\nSnowflake\nDatabricks\nCloudera\nPalantir\nTalend\nSuccess Metrics\nWin Rate\nAI & Data Services Solutions Quality in deals\nCompetitive Pricing\nTeam Player\nCustomer Satisfaction\nRequired Experience\n10+ years of experience in Data Services, Data Engineering, Analytics, Data Integration, Data Platforms, or Data Architecture.\n5+ years in customer-facing consulting, pre-sales, solutioning, or architecture roles.\nProven experience shaping and winning large-scale Data & Analytics transformation engagements.\nExperience designing enterprise-wide Data Platforms and Data Modernization programs.\nExperience developing business cases, proposals, and strategic transformation roadmaps.\nPreferred Skills & Advisory Experience\nExperience across enterprise data strategy, governance, AI adoption roadmaps, generative AI use cases, data monetization, self-service analytics, and data product operating models.\nGood to Have Skills\nData quality, metadata management, lineage, compliance, regulatory controls, and information security.\nAbility to position DataOps, AIOps, automation, and managed services for continuous improvement.\nCollaboration & Stakeholder Management\nPartner with regional sales, service lines, partner ecosystems, and delivery teams to 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