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Director, Compliance

United States, Washington, Redmond💼 Full-time🗓 2026-07-07 → 2026-07-13

Core

Own the strategy, execution, and continuous improvement of compliance processes, including review workflows, governance frameworks, and supporting platforms, with a focus on AI-enabled tooling.

Role type

Director, Compliance (AI & Governance)

Builds

Scalable, automated systems that streamline compliance workflows and reduce manual effort using AI and data insights.

Domain

Technology / Research / Regulatory Compliance

Deliverable

production ML models | infrastructure

Required skills

AI-enabled compliance strategy, scalable system development, cross-functional project management, executive communication, change management in ambiguous environments, AI/automation application for compliance, team leadership, privacy/security/regulatory program management, Responsible AI governance.

Preferred skills

Experience managing compliance in research/engineering/tech organizations, familiarity with AI/ML governance frameworks (ORAI, NIST AI RMF), experience with privacy/security frameworks (GDPR, SSPA, SAW).

Technologies

AI, data insights, automated systems, compliance platforms

Responsibilities

Define and execute an AI-enabled compliance tooling strategy, drive experimentation and continuous improvement of compliance solutions, ensure governance aligns with global regulatory and ethical standards, enable researchers and leaders to understand compliance expectations, oversee adherence to privacy, security, research ethics, and Responsible AI requirements.

Seniority

Director, strategic leadership & team management

Rewrite
## About the role Own the strategy, execution, and continuous improvement of compliance processes, including review workflows, governance frameworks, and supporting platforms. Define and execute an AI-enabled compliance tooling strategy Drive the development of scalable, automated systems that streamline compliance workflows, reduce manual effort, and improve decision quality using AI and data insights. Identify high-impact opportunities, define program goals, and align roadmaps with organizational strategy, regulatory changes, and research needs. Drive experimentation and continuous improvement Guide teams to test hypotheses, use data and AI insights to identify root causes, and iterate on compliance solutions to improve effectiveness and scalability. Ensure governance aligns with global regulatory and ethical standards Oversee adherence to privacy, security, research ethics, and Responsible AI requirements, proactively identifying risks and implementing mitigations. Enable researchers and leaders to understand and apply compliance expectations through clear guidance, tooling, and operational processes. ## Requirements - Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. - 1+ year(s) project or people management experience. - 3+ years of experience managing cross-functional and/or cross-team projects. - Experience as a product or program owner for a compliance tool or internal platform. - Effective executive communication skills — translating complex regulatory requirements into clear, actionable narratives for senior leadership and non-compliance audiences. - Proven ability to drive change in ambiguous environments and build durable programs, not one-time fixes. - A track record of applying AI or automation to reduce compliance burden in practice — not just in theory. ## Nice to have - 10+ years of experience in compliance, privacy, risk, or regulatory program management, with demonstrated progression to senior leadership. - 5+ years leading and developing a team of program managers or compliance professionals. - Deep familiarity with at least two of: privacy (GDPR / DPIAs), security compliance (SSPA, SAW, or equivalent frameworks), responsible AI governance, or federal regulatory programs. - Experience managing compliance programs in a research, engineering, or technology organization serving a highly technical, innovation-driven population. - Experience with AI / ML governance, research ethics, or Responsible AI frameworks (ORAI, NIST AI RMF, or equivalent). - Relevant certifications: CIPP, CISM, CISSP, or equivalent. ## About us (No content provided in the original text)
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