Remote Managing Director, Data, AI & Applied Tech

Nature

Washington, Northern (District of Columbia, KY)

Hybrid

USD 275,000 - 330,000

Full time

6 days ago
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Job summary

The Nature Conservancy seeks a Managing Director of Data, AI and Applied Technology to lead an unprecedented enterprise function. This role defines how data, applied technology, and AI drive mission and business value, while aligning governance, risk controls, and adoption across a federated organization.

The role reports to the COO with dotted lines to the CEO and CIO, and it will shape data stewardship, AI governance, and cross-functional strategy to deliver measurable conservation outcomes

Qualifications

  • Bachelor's degree in a relevant field; 10+ years of experience, including 5+ years in a senior, global context.
  • Experience translating strategy into data/AI-enabled outcomes across a federated organization.
  • Experience with governance, decision rights, adoption strategies, and benefits realization.

Responsibilities

  • Develop and maintain enterprise data, AI, and applied technology strategies aligned to conservation priorities.
  • Lead federated data ownership and governance across enterprise domains.
  • Establish responsible AI governance, risk review, and acceptable-use guidelines.
  • Build data literacy and governance culture across the organization.
  • Manage budget and vendor contracts; partner with CIO and CEO offices.

Skills

Data governance
AI governance
Executive communication
Change management
Data strategy
Cross-functional leadership

Education

Bachelor's degree
Graduate degree preferred

Tools

Data platforms

Job description

The Nature Conservancy seeks a Managing Director of Data, AI and Applied Technology to lead an unprecedented enterprise function. This role defines how data, applied technology, and AI drive mission and business value, while aligning governance, risk controls, and adoption across a federated organization.

The role reports to the COO with dotted lines to the CEO and CIO, and it will shape data stewardship, AI governance, and cross-functional strategy to deliver measurable conservation outcomes

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