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Managing Director, Enterprise Data & Analytics

Posted yesterday

confidentialIselin (NJ)

SENIORITY

Manager

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About the role

Managing Director, Enterprise Data & Analytics
About the Company: Top-tier accounting & business advisory firm IndustryAccountingTypePrivately Held Founded1931Employees10,001+Categories AccountingFinanceWealth Management Consulting & Professional ServicesFinancial ServicesTax LawAdvanced Analytics AnalyticsAccountabilityRisk Analysis Compliance & Certifications Government Contracting Business GrowthCivil Rights LitigationCPA ServicesTax ServicesFinancial Accounting Billing Management Professional Services Accounting and Tax Preparation Other Consulting ServicesSpecialtiesassurancetaxanalyticsgovernanceriskand compliancegovernment contractsgrowth strategieshuman capitallitigation supportperformance optimizationrecruiting solutionsrenewable energytechnologytransaction advisoryand investment banking
About the Role: The Company is seeking a Managing Director of Enterprise Data & Analytics to lead its enterprise data engineering, platforms, master data management, semantic modeling, reporting, and analytics capabilities. The role will set the enterprise data architecture and implementation roadmap, oversee data platform operations and pipelines, and establish reusable, governed data products and consistent business metrics. The Managing Director will lead reporting and analytics delivery, strengthen data quality, security, privacy, and audit controls, and enable AI initiatives with trusted enterprise data. Responsibilities also include developing multidisciplinary teams, managing technology investments and vendor relationships, and partnering with business and technology leaders on data modernization. Candidates must have a bachelor's degree in computer science, information technology, data science, engineering, or a related field, along with 15 or more years of relevant experience and substantial enterprise-level people and budget leadership. Required expertise includes operating a production-scale lakehouse, enterprise data architecture and engineering, reliability practices, semantic modeling, analytics, and master data management. Candidates should also bring experience integrating complex business systems, implementing automated governance and privacy controls, and supporting audit-ready or public-company reporting environments. Experience enabling production AI applications with governed, high-quality data, as well as strong executive influence and transformation leadership, is essential. Hiring Manager TitleChief Digital & Information Officer FunctionsData Management/Analytics

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