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Sr. Enterprise Risk Governance Specialist
Reflection AI is hiring for the job of Sr. Enterprise Risk Governance Specialist, New York, NY (On-site). This is a Risk job in the governance, risk, and compliance field. Review the full details below and apply directly with Reflection AI.
Our Mission Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. We build open models that let anyone control their intelligence and help shape the future of AI. Our mission: make intelligence open and accessible to all. Role Overview The Sr. Enterprise Risk Governance Specialist position is a senior role within Enterprise Risk Trust, reporting to the Head of Enterprise Risk Trust. This is the hands-on expert and builder behind the organization’s enterprise risk management and control environment, personally designing, operating, and continuously maturing the frameworks, inventories, controls, and reporting that keep the organization within its stated risk appetite while advancing its strategic objectives. This specialist owns and executes the technical substance of risk governance across its full lifecycle: obligation identification, control architecture, risk measurement, reporting, and external representation. Sitting at the intersection of risk, compliance, technology, and AI safety, this role is uniquely positioned to shape how the organization understands and responds to a dynamic regulatory and operational risk landscape. The ideal candidate brings deep expertise in enterprise risk frameworks, a systems-level perspective on controls design, and the personal credibility to represent the organization’s risk posture to regulators, customers, auditors, and other critical external stakeholders. This is a high-visibility, high-impact individual-contributor role that operates across all business functions. Success requires the ability to translate complex risk concepts into actionable governance structures, influence without direct authority, and build trusted relationships internally and externally. What You'll Do Control Environment Risk Framework Architecture Design, build, and operate a control environment that drives efficient, prioritized adherence to organizational obligations in alignment with management’s objectives and stated risk appetite. Design and continuously operate an enterprise risk management framework spanning risk identification, measurement, mitigation, monitoring, and reporting, contextualized against the organization’s obligations, objectives, and risk tolerance. Establish and apply a disciplined approach to risk prioritization that balances operational efficiency with the rigor required to address high-severity exposures across the enterprise. Policy, Standards Controls Governance Operate the organization’s policy and standards issuance lifecycle, ensuring timely coverage of emerging obligations and strategic priorities. Design, implement, and maintain the controls and guardrails that drive adherence to obligations and objectives within defined risk appetite thresholds. Build and maintain a structured controls taxonomy and policy hierarchy, ensuring alignment, traceability, and clear ownership across the enterprise. Enterprise Inventories Data Stewardship Own and maintain the enterprise risk registry and control inventory, ensuring completeness, accuracy, and operationalization across all relevant functions. Steward the design, quality, and utilization of key risk-related ecosystem inventories, including data inventories, IT asset inventories, and other foundational records management infrastructure. Champion and enforce data quality and governance standards across risk-related inventories, enabling confident risk measurement and management decisions. Risk Reporting Executive Communication Build and maintain executive-quality reporting on enterprise risk posture, policy and standards coverage, and the efficacy of regulatory and risk-driven controls. Contextualize risk reporting against the organization’s obligations, objectives, and risk appetite, enabling senior leadership and the Board to make well-informed decisions. Continuously improve risk metrics, dashboards, and reporting cadences to reflect evolving organizational priorities and stakeholder needs. External Engagement Representation Serve as a subject-matter expert on risk governance topics in interactions with regulators (in coordination with Regulatory Compliance), customers, auditors, and other external stakeholders. Contribute to the negotiation of contracts, agreements, and licenses with risk management implications, advocating for risk-informed terms and organizational protections. Monitor the external and industry landscape to anticipate emerging obligations, translate new requirements into actionable internal frameworks, and proactively position the organization ahead of compliance deadlines. What We're Looking For Experience Background 7+ years of progressive experience in enterprise risk management, compliance, internal audit, or a closely related governance discipline, with a demonstrated track record as a 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 the 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. Skills Capabilities Exceptional ability to design and communicate governance structures, risk frameworks, and control architectures to both technical and non-technical audiences. Strong analytical and systems-thinking skills, with the ability to synthesize complex risk landscapes into clear, prioritized frameworks and actionable recommendations. Demonstrated ability to build and maintain inventories and registries (risk, control, data, asset) with a strong focus on data quality, usability, and organizational adoption. Excellent written and verbal communication skills, including the ability to develop executive-quality risk reporting and represent the organization credibly in high-stakes external conversations. Proven ability to influence cross-functional stakeholders and drive alignment on governance priorities without direct authority. Mindset Approach A risk practitioner who operates with both rigor and pragmatism, focused on building governance infrastructure that is operationally effective, not just technically compliant. Intellectually curious and adaptive, with a commitment to staying current on evolving regulatory requirements, risk management best practices, and AI governance developments. A trusted, credible voice, internally with leadership and cross-functional partners, and externally with regulators, customers, and the broader governance community. Highly collaborative and organizationally astute, with the ability to navigate complex stakeholder environments and build durable governance partnerships across the enterprise. Motivated by building, comfortable operating in ambiguous, fast-moving environments where governance structures are maturing and the work requires both strategic vision and hands-on execution. What We Offer: We believe that to make intelligence open and accessible to all, you need to start at the foundation. Joining Reflection means building from the ground up as part of a talent-dense team. You will help define our future as a company, and help define the future of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported. Top-tier compensation: Salary and equity structured to recognize and retain our talent globally. Stock options: Everyone who joins and contributes to Reflection's success gets to share in the upside through stock options. Health wellness: Comprehensive medical, dental, vision, and life, with an annual wellness allowance. Meals: Lunch and dinner are provided in the office daily. Life family: 22 weeks paid parental leave for all new birthing and non-birthing parents, including adoptive and surrogate journeys. Vacation days: Unlimited paid time off in the U.S. and 30 days in the U.K. Sponsorship support: We sponsor visas to help exceptional talent join our team and support long-term immigration pathways where applicable. Team building: We have regular off-sites, happy hours, and team celebrations. Export Control Notice: This position may require access to technology or source code subject to the U.S. Export Administration Regulations. Any offer of employment for this role may be conditioned on the Company's ability to provide the candidate with access to such technology or source code in compliance with applicable U.S. export control laws, which may require the Company to seek government authorization.
Location and market context
This job is based in New York on-site. Local candidates benefit from being close to Reflection AI's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About risk management jobs
Risk jobs own the methodology for identifying, assessing, and escalating enterprise, operational, and technology risk. Second-line teams set risk appetite and challenge the first line. Jobs like this one are typically evaluated against frameworks such as enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices.
How to position yourself for this risk management job
Strong candidates emphasize risk assessment methodology, appetite and escalation, cross-functional partnership, and clear reporting to senior leadership and the board. In your resume and outreach, tie your experience to how Reflection AI would apply enterprise and operational risk frameworks, NIST AI RMF, and risk-appetite and escalation practices, and lead with concrete outcomes rather than duties.
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