Senior Business Analytics Manager

Job Requisition ID #26WD99697Position OverviewWe are seeking a Senior Business Analytics Manager to support Go-to-Market Finance organization by driving data-informed strategy, building scalable analytics solutions and AI-enabled workflows that improve planning, forecasting and reporting. This role will play a critical part in accelerating time to insights, reducing manual work, and shaping how Finance uses data, automation, and AI to make better business decisions.As a manager in the Business Analytics function, you will lead a team responsible for complex, cross-functional initiatives across Finance, Sales, Data Engineering, and business operations. You will translate ambiguous business problems into structured analytical frameworks, scalable data products, and practical AI-enabled solutions that improve decision quality and operational efficiency.The ideal candidate can operate at both the strategic and executional level: partnering with senior stakeholders to define the right business problems, while also being hands-on enough to query data, prototype solutions, pressure-test metrics, and partner with technical teams to scale durable products. This is a senior individual contributor role that requires strong business judgment, technical depth, product thinking, and the ability to influence and scale solutions across teams.ResponsibilitiesLead end-to-end analytics and AI-enabled workflow initiatives, from problem framing and stakeholder alignment to solution design, insight generation, adoption, and measurable business impactPartner closely with Finance stakeholders to understand planning, forecasting and reporting workflows, and identify opportunities to improve them through data, automation, and AITranslate ambiguous Finance and business challenges into structured analytical frameworks, including data modeling, KPI design, forecasting, experimentation, and decision-support workflowsDesign and build scalable data products, including pipelines, tables, dashboards, reporting layers, and AI-ready datasets that enable automated, flexible, and action-oriented Finance analyticsBuild and test prototypes for AI-enabled Finance workflows, such as automated business review narratives, anomaly detection, variance explanation, forecast drivers, natural-language insight discovery, and self-service reportingPartner with Data Engineering, Finance Systems and central data teams to move prototypes into reliable, governed, production-ready solutionsDefine and standardize KPI frameworks for financial metrics ensuring alignment across Finance and business teamsDesign and scale dashboards, reporting solutions, and self-service analytics experiences that improve adoption, reduce manual reporting, and help business partners make faster, more consistent decisionsAnalyze business and financial metrics to uncover key drivers of growth, retention, churn, productivity, and efficiency, and recommend clear data-backed actionsEstablish scalable, repeatable analytics frameworks and best practices that improve Finance decision-making and create consistency across planning, forecasting, reporting, and business reviewsApply strong governance, quality control, and documentation practices to ensure AI-enabled workflows are accurate, explainable, secure, and appropriate for Finance decision supportCommunicate insights, recommendations, and roadmap tradeoffs to senior leadership through clear storytelling, executive-ready presentations, and concise written narrativesManage, coach, and develop analysts and contribute to raising the overall analytical, technical, and AI-readiness capabilities of the Business Analytics teamMinimum QualificationsBachelor’s degree or higher in a quantitative field8-10+ years of experience in analytical fields such as consulting, strategic finance, BizOps, data science, business intelligence, data engineeringAdvanced SQL skills with the ability to work with large, complex datasets and multiple data sourcesStrong experience with BI and visualization tools such as Power BI, or similar platformsExperience partnering with Finance, GTM, or business leadership teams to support planning, forecasting, reporting, and performance managementDemonstrated ability to structure ambiguous problems, perform deep analysis, and translate findings into clear business impactExperience designing scalable dashboards, reporting solutions, data models, or analytics products that improve self-service and reduce manual workStrong stakeholder management skills, with experience influencing senior business partners and driving alignment across cross-functional teamsExcellent communication skills, with the ability to distill complex analysis, technical concepts, and business tradeoffs into clear, actionable recommendationsProven ability to manage analysts, lead cross-functional initiatives and deliver results in a matrixed environmentPreferred QualificationsExperience supporting Go To Market, SaaS, or subscription-based business modelsExperience building analytics, automation, or AI-enabled workflows for Finance, FP&A, GTM Finance, Sales Finance, or business operations teamsExperience with Python or other statistical tools for advanced analytics, modeling, or experimentationExperience applying AI, machine learning, or generative AI capabilities to business workflows, such as automated narratives, anomaly detection, forecasting, natural-language analytics, document intelligence, or decision-support toolsExperience designing AI-ready data products, semantic layers, metric stores, or governed datasets that support self-service analytics and workflow automationExperience building and deploying predictive models to forecast key metricsExperience designing an optimal decision support process, defining a product strategy to enable it, translating into a roadmap, and enabling it through technologyDomain experience in FP&A and / or sales, marketing, and customer success operationsExperience working in high-growth or transformation environmentsStrong understanding of responsible AI practices, including data quality, human-in-the-loop review, model limitations, explainability, and governance considerationsLearn MoreAbout AutodeskWelcome to Autodesk! 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