Microsoft Purview Manager

EisnerAmper•Iselin, NJ

21h•Hybrid

About The Position

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you’re starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you’ll love from top to bottom – we give you the tools you need to succeed and the autonomy to reach your goals. We are seeking a Microsoft Purview Manager to lead the strategy, implementation, and ongoing optimization of data governance capabilities across EisnerAmper's AI transformation initiative. This role will own the governance framework for data scanned, classified, cataloged, and governed within Azure Data Lakes and related Azure data services that support AI application development. The Manager will partner closely with data engineering, Legal, Risk, Compliance, Privacy, and IT leaders to operationalize Purview controls, define governance standards, oversee risk mitigation, and drive responsible AI and compliant data use throughout the AI development lifecycle.

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field
6-8+ years of relevant experience in data governance, cloud data platforms, information security, privacy, or a related function, including experience leading enterprise or cross-functional initiatives.
3+ years of hands-on experience with Microsoft Azure, including Microsoft Purview, Azure Data Lakes, storage accounts, or related Azure data services.

Nice To Haves

Demonstrated experience designing or leading data scanning, classification, cataloging, lineage, metadata management, or related data governance capabilities at scale.
Familiarity with AI/ML technologies, analytics workflows, or data used in AI application development, along with experience supporting governance, compliance, risk assessment, or control-related initiatives
Strong leadership, program management, documentation, and communication skills, with the ability to influence technical and non-technical stakeholders and translate complex governance concepts into clear business actions.
Experience in professional services environments such as accounting, consulting, audit, tax, or advisory.
Hands-on experience leading Microsoft Purview implementations or enhancements across scans, collections, classifications, glossary, lineage, and governance processes.
Experience with Azure Data Lake Storage, storage accounts, SQL-based data sources, or related cloud data environments in a complex enterprise setting.
Working knowledge of AI governance, data governance, privacy, responsible AI, or model risk frameworks and how to operationalize them.
Exposure to regulatory and privacy frameworks such as GDPR, CCPA, SOX, or similar compliance requirements.
Familiarity with generative AI tools, AI/ML applications, or enterprise AI solutions and the governance considerations required to support them responsibly.
Experience with governance, reporting, or visualization tools such as Power BI or Tableau, including the development of leadership-facing metrics and dashboards.
Strong analytical and problem-solving skills, with the ability to balance strategic priorities and operational execution.
Experience mentoring junior team members, coordinating external resources, or leading cross-functional teams in a fast-changing technology environment.

Responsibilities

Lead the design, administration, and continuous improvement of Microsoft Purview scanning and governance capabilities across Azure Data Lakes, storage accounts, and related Azure data services supporting AI and analytics use cases.
Own the Purview operating model, including scan schedules, data source onboarding, collections, classification rules, and metadata standards to ensure scalable, high-quality coverage across governed data domains.
Drive adoption of the data catalog, business glossary, lineage, and stewardship practices within Purview to improve enterprise data discoverability, traceability, and controlled reuse across AI use cases.
Partner with AI, data engineering, and business stakeholders to review datasets entering Azure Data Lakes, document critical data flows, and establish appropriate governance, access, retention, and acceptable-use requirements.
Establish and monitor data governance controls for AI-related datasets, including data classification, sensitive data handling, access reviews, retention alignment, and policy enforcement.
Define and oversee data quality, completeness, and readiness expectations for datasets used in AI development, testing, and deployment workflows.
Lead AI lifecycle governance activities, including intake reviews, risk assessments, issue prioritization, remediation tracking, and decision support for AI systems and data use cases.
Oversee monitoring for privacy, regulatory, and policy compliance, including GDPR, CCPA, and internal data usage requirements, for data leveraged in AI applications.
Identify, escalate, and drive resolution of data risk issues such as sensitive data exposure, missing metadata, improper access, or unapproved data use across AI workflows.
Develop governance dashboards, scan coverage metrics, control effectiveness measures, and executive-ready reporting for leadership and cross-functional stakeholders.
Lead cross-functional governance forums, working sessions, training, and audit readiness efforts with Legal, Risk, Compliance, Privacy, IT, and business teams related to AI data use and Purview controls.
Stay current on Microsoft Purview capabilities, Azure data governance practices, and emerging AI governance standards, and translate those developments into practical roadmap recommendations and program enhancements.