Senior Manager, AI Governance & Software Engineering Compliance

52 Minutes ago • 5 Years +

Research Development

Job Description

This leadership role involves overseeing Razer Software organization’s data governance and software compliance initiatives. The Senior Manager will bridge AI product development/engineering and corporate compliance, ensuring software products, big data, and AI systems are trustworthy, compliant, and aligned with business and regulatory standards. They will work closely with engineering teams to project manage AI and data governance implementations while fostering innovation.

Good To Have:

Project Management experience preferred.
Game industry experience is an advantage.

Must Have:

Lead AI governance at the intersection of product, project management, and compliance.
Establish and maintain robust data governance frameworks.
Define policies and best practices for ethical AI development, transparency, accountability, and fairness.
Partner with Data Compliance and InfoSecurity teams to align AI governance with enterprise data privacy, security, and retention standards.
Ensure AI systems respect data minimization, consent, and cross-border data transfer rules.
Collaborate with AI/ML engineers and product managers to embed governance principles into the AI development lifecycle.
Provide hands-on guidance on model documentation, explainability, and audit readiness.
Conduct AI risk assessments and establish controls for systems with business-critical or regulatory implications.
Coordinate with SOX/Internal Audit teams if AI models are used in financial reporting or internal controls.
Project Manage joint audits, risk assessments, and regulatory inquiries.
Establish dashboards and reporting structures to track AI compliance posture.
Bachelor’s or Master’s in Computer Science, Data Science, Law, Policy, or related field.
5+ years’ experience in AI governance, compliance, or technology policy.
Familiarity with AI/ML development processes, lifecycle management, and emerging AI regulations.
Strong understanding of data protection frameworks (GDPR, CCPA, PDPA) and corporate compliance requirements.
Experience leading with cross-functional teams (engineering, product, legal, compliance).
Excellent communication, stakeholder management, and policy writing skills.

Perks:

Global mission to revolutionize the way the world games.
Opportunity to make an impact globally.
Work across a global team located across 5 continents.
Unique, gamer-centric #LifeAtRazer experience.
Accelerated growth, both personally and professionally.
Certified as a Great Place to Work® in both United States and Singapore.

Add these skills to join the top 1% applicants for this job

cross-functional

communication

data-analytics

internal-audit

financial-data-analysis

game-texts

data-science

Job Responsibilities :

We are seeking a leader to oversee Razer Software organization’s data governance and software compliance initiatives. This role bridges AI product development/engineering and corporate compliance, ensuring that our software products, big data, and AI systems are trustworthy, compliant, and aligned with business and regulatory standards. The successful candidate will work closely with Razer Software Engineering teams to project manage execution of AI and data governance implementations while still enabling rapid innovation and development.

Job Responsibilities

Lead AI governance at the intersection of product, project management, and compliance.
Responsible for establishing and maintaining robust data governance frameworks that promote data security, quality, and accessibility on a scale.
Define policies and best practices for ethical AI development, transparency, accountability, and fairness.
Partner with the Data Compliance and InfoSecurity teams to align Razer Software AI governance with enterprise data privacy, security, and retention standards.
Ensure AI systems respect data minimization, consent, and cross-border data transfer rules.
Collaborate with AI/ML engineers and product managers to embed governance principles into the AI development lifecycle.
Provide hands-on guidance on model documentation, explainability, and audit readiness.
Conduct AI risk assessments and establish controls for systems with business-critical or regulatory implications.
Coordinate with SOX/Internal Audit teams if AI models are used in financial reporting or internal controls.
Project Manage joint audits, risk assessments, and regulatory inquiries.
Establish dashboards and reporting structures to track AI compliance posture.

Qualifications

Bachelor’s or Master’s in Computer Science, Data Science, Law, Policy, or related field.
5+ years’ experience in AI governance, compliance, or technology policy.
Familiarity with AI/ML development processes, lifecycle management, and emerging AI regulations.
Strong understanding of data protection frameworks (GDPR, CCPA, PDPA) and corporate compliance requirements.
Experience leading with cross-functional teams (engineering, product, legal, compliance). Project Management experience preferred.
Excellent communication, stakeholder management, and policy writing skills.
Game industry experience is an advantage.