Senior Data Strategy, Architecture & Governance Leader

Electric Mind Inc.

New York (NY)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Electric Mind is seeking an Associate Director to lead enterprise data strategy, architecture, and governance for large organizations. This senior, hands-on role combines advisory work with implementation leadership and requires strong communication, deep architecture knowledge, and governance experience.

The ideal candidate will drive data strategy, develop roadmaps, and lead governance programs at scale, while guiding delivery teams and shaping reusable methodologies across complex,

Qualifications

  • 15+ years in data architecture, governance, or strategy.
  • Experience implementing governance programs at scale.
  • Strong consulting and communication skills.
  • Experience with modern cloud data platforms.
  • Exposure to tools such as Collibra, Alation, Purview, Informatica, Snowflake Horizon, Databricks Unity Catalog.
  • Knowledge graph or semantic modeling experience.

Responsibilities

  • Define enterprise data strategies and roadmaps.
  • Lead data governance maturity assessments and design frameworks.
  • Guide delivery teams and define reusable methodologies.
  • Align architecture with strategy, governance, and security models.
  • Conduct executive workshops and stakeholder alignment.

Skills

Data architecture
Governance
Strategy consulting
Cloud platforms
Stakeholder management
Executive workshops

Tools

Collibra
Alation
Purview
Informatica
Snowflake Horizon
Databricks Unity Catalog

Job description

Electric Mind is seeking an Associate Director to lead enterprise data strategy, architecture, and governance for large organizations. This senior, hands-on role combines advisory work with implementation leadership and requires strong communication, deep architecture knowledge, and governance experience.

The ideal candidate will drive data strategy, develop roadmaps, and lead governance programs at scale, while guiding delivery teams and shaping reusable methodologies across complex,

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