Executive Director, Data Architecture & Strategy

PowerToFly

New York (NY)

Hybrid

USD 200,000 - 300,000

Full time

7 days ago
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Job summary

Morgan Stanley Investment Management (MSIM) is seeking a Data Architect to shape enterprise data architecture across public and private markets, with a focus on governance, scalability, and reusable data products.

The role collaborates with data engineering, analytics, and AI teams to define target-state architectures, drive multi-year roadmaps, and ensure compliance with regulatory requirements while enabling advanced analytics and AI initiatives.

Qualifications

  • Experience in financial services or regulated industry.
  • Experience leading large-scale data migrations and platform transformations.
  • Familiarity with data mesh, data products, and federated governance.

Responsibilities

  • Define and maintain enterprise data architecture, including data models and standards.
  • Develop target-state architectures and roadmaps for operational, analytical, and AI data platforms.
  • Establish data ingestion, integration, transformation, storage, and distribution patterns.
  • Ensure architectures support cloud, lakehouse, warehouse, streaming, and API use cases.
  • Embed governance, privacy, security, and regulatory requirements into designs.
  • Lead architecture reviews and guidance across major data initiatives.

Skills

Data architecture
Cloud platforms
Data governance
Stakeholder management
Communication
SQL / data modeling

Education

Bachelor's degree in Computer Science, Engineering, or related

Tools

Snowflake
Databricks
Spark
Kafka
Python

Job description

Morgan Stanley Investment Management (MSIM) is seeking a Data Architect to shape enterprise data architecture across public and private markets, with a focus on governance, scalability, and reusable data products.

The role collaborates with data engineering, analytics, and AI teams to define target-state architectures, drive multi-year roadmaps, and ensure compliance with regulatory requirements while enabling advanced analytics and AI initiatives.

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