Sr. Business Systems Analyst

Senior Enterprise Systems AnalystThe Senior Enterprise Systems Analyst serves as the strategic bridge between business operations and enterprise technology. This role is responsible for ensuring software applications are designed, configured, and governed to support scalable business processes, high-quality data, enterprise reporting, and future AI initiatives.Rather than owning a single application, this position establishes enterprise standards that ensure systems across the organization work together to produce reliable, trusted, and actionable information.This role partners with business leaders, IT, software administrators, data engineering, and analytics teams to continuously improve how the organization captures, manages, integrates, and leverages information.Primary ResponsibilitiesEnterprise System GovernanceLead enterprise system design reviews before implementationEnsure new applications align with enterprise architecture standardsEstablish governance standards for application configurationEvaluate software requests to reduce unnecessary technology proliferationMaintain enterprise application inventory and technology roadmapData Foundation & Information ArchitectureSupport the organization's Strengthen Data Foundations initiative by improving how information is captured, stored, integrated, and governed.Defining enterprise data standardsStandardizing master data and value listsDesigning scalable system configurationsEliminating duplicate or conflicting dataImproving reporting readinessSupporting enterprise semantic modelsEnsuring systems are AI-ready through consistent, structured dataBusiness Process AnalysisPartner with business leaders to understand operational requirementsDocument business processes and future-state workflowsTranslate business needs into system requirementsIdentify automation opportunitiesRecommend technology improvements that reduce manual effortSystem Configuration & StandardsDevelop standards for:Naming conventionsValue listsMetadataSecurity rolesOrganizational hierarchiesStatus definitionsWorkflow configurationReference dataReporting structuresEnsure every implementation supports enterprise reporting and downstream analytics.Reporting & Analytics EnablementCollaborate with Data Engineering and Business Intelligence teams to ensure enterprise systems:Produce trusted dataMinimize manual transformationsSupport self-service reportingImprove dashboard adoptionReduce reporting complexityIntegration & Enterprise ArchitectureWork across enterprise applications including:ERPFinancial SystemsHR SystemsProject ManagementCRMOperational SystemsConstruction Management PlatformsResponsibilities include:Mapping data flowsDefining system ownershipIdentifying systems of recordSupporting API integrationsReducing duplicate informationAI & Digital TransformationPrepare enterprise systems for AI adoption by:Improving data qualityStandardizing business definitionsSupporting enterprise metadataCreating reusable data structuresReducing unstructured business processesIdentifying opportunities for intelligent automationLeadership ResponsibilitiesLead cross-functional workshopsInfluence enterprise technology decisionsMentor junior analystsDevelop enterprise standardsPresent recommendations to executive leadershipServe as trusted advisor to software ownersRequired QualificationsBachelor's degree in Information Systems, Computer Science, Engineering, Business, or related field7+ years supporting enterprise business applicationsExperience with enterprise software implementationsStrong understanding of relational databases and SQLExperience with business process analysisKnowledge of data governance principlesExperience working with enterprise reporting platformsStrong communication and stakeholder management skillsPreferred QualificationsExperience with one or more:Microsoft FabricPower PlatformPower BIAzureERP systemsProcorePrimavera P6Viewpoint VistaMicrosoft DynamicsSAPOracleSalesforceServiceNowKnowledge of:Enterprise ArchitectureMaster Data ManagementData WarehousingKimball ModelingAI GovernanceInformation ManagementSuccess MeasuresThe successful candidate will help the organization achieve measurable improvements in:Enterprise data qualitySystem standardizationReporting accuracySelf-service analytics adoptionReduction in duplicate applicationsFaster software implementationsReduced manual data transformationImproved process automationAI readinessEnterprise governance maturity