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Reflection AI is seeking a Senior Enterprise Risk Governance Specialist to design, build, and operate the organization's enterprise risk management and control environment. This is a hands-on, high-visibility individual-contributor role reporting to the Head of Enterprise Risk & Trust, positioned at the intersection of risk, compliance, technology, and AI safety.
You will own the technical substance of risk governance across its full lifecycle: obligation identification, control architecture, risk measurement, reporting, and external stakeholder representation. Key responsibilities include:
**Control Environment & Risk Framework Architecture:** Design and operate a control environment aligned with organizational obligations and risk appetite. Establish an enterprise risk management framework spanning identification, measurement, mitigation, monitoring, and reporting. Apply disciplined risk prioritization balancing operational efficiency with rigor for high-severity exposures.
**Policy, Standards & Controls Governance:** Operate the organization's policy and standards issuance lifecycle. Design, implement, and maintain controls and guardrails. Build and maintain a structured controls taxonomy and policy hierarchy with clear ownership across the enterprise.
**Enterprise Inventories & Data Stewardship:** Own and maintain the enterprise risk registry and control inventory. Steward design, quality, and utilization of risk-related ecosystem inventories including data and IT asset inventories. Champion data quality and governance standards enabling confident risk measurement.
**Risk Reporting & Executive Communication:** Build and maintain executive-quality reporting on enterprise risk posture, policy coverage, and control efficacy. Contextualize risk reporting against obligations, objectives, and risk appetite. Continuously improve risk metrics, dashboards, and reporting cadences.
**External Engagement & Representation:** Serve as subject-matter expert on risk governance in interactions with regulators, customers, auditors, and external stakeholders. Contribute to contract and agreement negotiations with risk management implications. Monitor external landscape to anticipate emerging obligations and proactively position the organization.
This role operates across all business functions, requiring the ability to translate complex risk concepts into actionable governance structures, influence without direct authority, and build trusted relationships internally and externally.
**Requirements:**
- 7+ years of progressive experience in enterprise risk management, compliance, internal audit, or closely related governance discipline, with demonstrated track record as hands-on practitioner and builder
- Demonstrated track record of designing, implementing, and maturing enterprise risk management frameworks and control environments at scale
- Prior experience owning or significantly contributing to policy and standards governance programs, including lifecycle management of policies, standards, and controls
- Meaningful exposure to AI governance, responsible AI, or technology risk — with working knowledge of AI risk and ethics frameworks, use-case evaluation methodologies, and emerging AI regulation
- Experience engaging with external regulators, auditors, or enterprise customers on risk and compliance topics; including participation in regulatory examinations, customer due diligence processes, or contract negotiations
- Exceptional ability to design and communicate governance structures, risk frameworks, and control architectures to technical and non-technical audiences
- Strong analytical and systems-thinking skills with ability to synthesize complex risk landscapes into clear, prioritized frameworks
- Demonstrated ability to build and maintain inventories and registries with strong focus on data quality, usability, and organizational adoption
- Excellent written and verbal communication skills, including development of executive-quality risk reporting
- Proven ability to influence cross-functional stakeholders and drive alignment without direct authority
- Risk practitioner who operates with both rigor and pragmatism
- Intellectually curious and adaptive, committed to staying current on evolving regulatory requirements and AI governance developments
- Trusted, credible voice internally and externally
- Highly collaborative and organizationally astute
- Motivated by building in ambiguous, fast-moving environments
