Tower Lead - Enterprise Data Office (EDO) - Asset Management

• Posted 12 days ago • Updated 5 hours ago
Full Time
Fitment

Dice Job Match Score™

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Job Details

Skills

  • data analysis
  • ARCHITECTURE
  • MICROSOFT OFFICE
  • DATA MANAGEMENT
  • DATA GOVERNANCE
  • GOVERNANCE
  • DATA ARCHITECTURE
  • Automation
  • asset management
  • DATA TRANSFORMATION
  • databricks
  • Airflow
  • AMAZON WEB SERVICES
  • PORTFOLIO MANAGEMENT
  • Leadership
  • Cloud Computing
  • TRADING
  • data systems
  • Microsoft Azure
  • testing skills
  • scalability
  • Data Streaming
  • Continuous Integration
  • RISK ANALYSIS
  • Communication skills
  • Enterprise Data management
  • Cloud Engineering
  • stakeholder management
  • Dataops
  • Data Strategy
  • client reporting
  • stream processing
  • Cloud Services
  • Data Infrastructure
  • Safety Principles
  • Programme Management
  • Extract Transform Load (ETL)
  • Information Engineering
  • Budgeting Skills
  • Dialectical Behaviour Therapy
  • Statutory Reporting
  • Money Investments
  • Performance Attribution
  • Resource Allocation
  • Investment Strategies
  • Reporting to the Board

Summary

Tower Lead - Enterprise Data Office (EDO) | Asset Management

Location: Irvine, CA
Experience: 8 15+ Years
Employment Type: Full-Time

We are seeking an experienced Tower Lead to lead enterprise-scale data transformation initiatives within the Asset Management domain. This leadership role is responsible for driving the end-to-end delivery of the Data Tower, including strategy, architecture, governance, stakeholder management, and execution across multiple enterprise data workstreams.

Key Responsibilities
  • Lead enterprise-wide Data Tower initiatives within an Enterprise Data Office (EDO) transformation program.
  • Define and execute enterprise data strategy aligned with business and technology goals.
  • Manage multiple cross-functional teams across Data Engineering, Analytics, Cloud, and Data Governance.
  • Drive program planning, delivery governance, budgeting, resource allocation, and executive reporting.
  • Design and implement modern data platforms using Databricks Lakehouse, Azure, AWS, and dbt.
  • Establish scalable architectures supporting batch, streaming, and real-time data processing.
  • Lead the development of enterprise data pipelines, ELT/ETL frameworks, automation, CI/CD, testing, and observability.
  • Collaborate with business stakeholders to deliver data solutions supporting Portfolio Management, Trading, Risk, Compliance, Client Reporting, and Investment Operations.
  • Define enterprise data standards, governance frameworks, and best practices while optimizing cloud performance and cost.
Required Skills
  • Strong experience with Databricks, dbt, Apache Airflow, Azure, and AWS.
  • Expertise in Data Engineering, Data Governance, Modern Data Platforms, and Cloud Architecture.
  • Proven experience leading enterprise data transformation programs and managing multiple delivery teams.
  • Strong knowledge of ETL/ELT frameworks, CI/CD, automation, and data observability.
  • Experience working within the Asset Management or Investment Management domain is required.
  • Excellent stakeholder management, executive communication, and leadership skills.
Preferred Experience
  • Enterprise Data Office (EDO) transformation programs.
  • Lakehouse architecture and cloud-native data platforms.
  • Portfolio Management, Risk Analytics, Performance Attribution, Compliance Reporting, and Security Master Data.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10209652
  • Position Id: 2026-228315
  • Posted 12 days ago
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