VP, Transformation Analytics

🕒 June 30

🏢🏡 New York City – Hybrid

💵 $145k - $170k / year

⏰ Full Time

🔴 Lead

👔 Vice President

👻 Ghost score 0%

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Lazard

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1848

💸 Finance

🏦 Banking

💼 Consulting

💰 $300M Post-IPO Debt - Lazard on 2025-07

Finance • Banking • Consulting

Lazard is a global financial services firm founded in 1848 that provides financial advisory and asset & wealth management services. The firm offers M&A and strategic advisory, capital markets advisory, restructuring and liability management, specialized advisory transactions, and asset management and private wealth management through Lazard Asset Management and Lazard Private Wealth Management. Lazard emphasizes bespoke, sophisticated advice and investment solutions delivered globally by experienced professionals; its leadership includes CEO and Chairman Peter Orszag. The firm publishes research and market insights and serves corporate, institutional, government, and individual clients.

📋 Description

• Designing KPI structures, dashboards and management reporting • Guiding the design and implementation of data warehousing and medallion architecture to support analytics-ready data assets • Leading data migration workstreams, coordinating with the SVP on architecture and business owners on validation • Ensuring data accuracy and lineage documentation meet firmwide governance standards across all transformation initiatives, in coordination with the Head of Data Governance • Delivering AI-augmented analytics that surface actionable insights for leadership

🎯 Requirements

• 7+ years of experience in data warehousing, dimensional modeling (star/snowflake schemas), and medallion architecture (Bronze/Silver/Gold) • 3+ years working across technology and business teams; consulting background strongly preferred • Hands-on platform experience with Snowflake, Microsoft Fabric, or Databricks (required) • KPI framework design and executive dashboard development in Tableau, Power BI, or equivalent • Ability to apply data governance and quality assurance frameworks within transformation workstreams; experience with lineage documentation and migration validation • Familiarity with AI-augmented analysis: LLM-assisted categorization, anomaly detection, and forecasting

🏖️ Benefits

• comprehensive, competitive benefits • individualized employee experience enabling balance of career, family, and community