Data Privacy and Responsible AI Manager

Accuray•Deming, NM

8d•Hybrid

About The Position

The Data Privacy and Responsible AI Manager is a senior individual contributor responsible for assessing, advising on, and mitigating privacy risks across enterprise operations and third-party relationships. The role will also support our responsible AI governance program. The role partners with Legal, Security, IT, and business stakeholders to support compliance, risk management, and responsible use of data and AI technologies. The primary focus is on enterprise systems, cloud services, SaaS platforms, vendor relationships, data sharing arrangements, and AI-enabled technologies.

Requirements

Bachelor’s degree or equivalent professional experience in privacy, compliance, information security, risk management, or a related discipline.
Significant hands-on experience conducting PIAs and DPIAs as an individual contributor.
Practical experience reviewing DPAs and privacy-related contractual clauses.
Strong working knowledge of global privacy principles and regulatory expectations.
Ability to communicate clearly to business, technical, and security stakeholders.
Ability to take ownership of tasks and guide to completion.
Strong analytical skills and attention to detail, with the ability to manage multiple concurrent assessments independently.
Proof of authorization to work in the country of application on a permanent basis without sponsorship.

Nice To Haves

Experience supporting AI governance, responsible AI initiatives, or emerging technology risk management, including familiarity with AI and Generative AI technologies.
Experience in a regulated manufacturing environment, particularly medical devices or life sciences.
Familiarity with cloud services, SaaS risk assessment, and third-party risk management.
Experience working within, or closely aligned to, an information security function.
Privacy certifications such as CIPP/E, CIPP/US, CIPM, or CIPT.
Familiarity with security and compliance frameworks such as ISO 27001, SOC 2, or NIST.

Responsibilities

Identify and assess privacy risks across enterprise processes, systems, vendors, and business initiatives.
Provide practical, risk-based guidance regarding data collection, use, sharing, retention, and international transfers.
Evaluate risks related to data collection, internal use, external sharing, retention, and international transfers, particularly in cloud-based and third-party environments.
Recommend and document appropriate mitigations aligned with privacy, security, and enterprise risk management requirements.
Conduct PIAs and DPIAs for new or materially changed processing activities, systems, applications, and third-party services.
Document processing activities, assess privacy risks, and recommend appropriate controls and safeguards.
Coordinate assessment with Security and other stakeholders and integrate reviews into relevant business processes.
Review DPAs, BAAs, and privacy-related contract terms for vendors, customers, and partners.
Assess privacy risks associated with data use, sharing, retention, cross-border transfers, and third-party processing.
Provide risk-based recommendations regarding contractual protections, controls, and compliance obligations.
Partner with Enterprise Security on privacy and security risk assessments, vendor reviews, and third-party risk management activities.
Support privacy-related incident assessments, investigations, and documentation in coordination with Security and Legal.
Apply global privacy and data protection requirements, including HIPAA, GDPR, UK GDPR, and other applicable laws.
Support compliance reviews, cross-border data transfer assessments, and related documentation.
Support the implementation and day-to-day operation of Accuray's responsible AI program.
Conduct AI risk and impact assessments for AI-enabled tools, services, vendors, and proposed use cases.
Partner with Legal, Security, GIS, Product, and business stakeholders to identify, assess, and mitigate AI-related risks.
Support evaluation of third-party AI vendors, contractual provisions, and governance controls.
Monitor emerging AI laws, regulations, and industry standards, and contribute to AI governance policies, guidance, training, and documentation.