System Compliance And Governance Manager

Summary

Join HashiCorp as a System Compliance and Governance Manager and support the Corporate Digital Transformation team in enabling strategic tech initiatives. This critical role involves establishing and maintaining robust governance frameworks for AI, digital adoption, knowledge management, and other systems. You will develop and implement governance frameworks, conduct compliance audits, manage AI/ML governance, and promote knowledge sharing. Responsibilities include ensuring compliance with data privacy regulations, monitoring AI outputs, and collaborating with various teams. This individual contributor role reports to the Director, Digital Workplace Strategy and Delivery Excellence and offers a competitive salary range.

Requirements

• 4+ years of experience in a governance, compliance, or risk management role, preferably within a technology-focused organization
• Good understanding of data privacy regulations (e.g., GDPR, CCPA) and security best practices (e.g., ISO 27001)
• Experience with data governance frameworks, data quality management, and data security controls
• Familiarity with AI/ML technologies (implementation) and their potential risks and ethical considerations
• Familiarity with a Digital Adoption Platform (DAP)
• Strong analytical and problem-solving skills
• Excellent communication, interpersonal, and presentation skills
• Ability to work a) independently, and b) as part of a team
• Strong project management and organizational skills

Responsibilities

• Establish governance frameworks for AI, Digital Adoption Platforms (DAPs), knowledge management, Atlassian/Jira, including roles, responsibilities, and escalation processes
• Create metrics to track the effectiveness, compliance, and ethical use of these systems
• Define, document and lead the adoption of clear policies and procedures for system usage (e.g., AI platform, DAP), data security, access control, and change management (including employee training)
• Establish and maintain a robust system of internal controls to mitigate risks and ensure data integrity
• Conduct regular audits and assessments to identify and address compliance gaps
• Ensure that AI applications comply with data privacy regulations (e.g., GDPR, CCPA) and/or other regional AI governance laws
• Audit datasets used for AI training to avoid bias and ensure ethical standards
• Monitor AI outputs for compliance with industry-specific regulations
• Monitor and analyze data usage patterns to identify trends and potential risks
• Ensure digital adoption platforms adhere to security standards and data protection laws when integrating with enterprise systems
• Partner with GRC, Security and Legal teams to develop and implement governance frameworks for the ethical and responsible use of AI/ML technologies
• Ensure compliance with relevant AI/ML regulations and best practices
• Monitor and mitigate potential biases and risks associated with AI/ML systems
• Maintain detailed records of AI models, including datasets, training processes, algorithms, and decisions to support compliance and audits
• Establish and maintain a centralized knowledge base for system documentation, best practices, compliance guidelines, governance frameworks, and training materials
• Promote knowledge sharing and collaboration across the R&D team
• Integrate compliance, governance, and usage guidelines into DAP workflows for contextual, real-time learning
• Monitor and audit systems to ensure adherence to governance policies
• Monitor and ensure compliance with all relevant security standards and best practices
• Collaborate with IT security teams to identify and address potential security threats
• Investigate and respond to security incidents as needed
• Assess and monitor vendors providing AI or DAP solutions for adherence to regulatory and contractual obligations
• Partner with the Strategy and Architecture team to evaluate compliance and governance impacts when integrating AI or DAPs with existing enterprise systems
• Build and maintain strong relationships with key stakeholders across the organization, including R&D leadership, IT, legal, and compliance
• Communicate effectively with stakeholders on compliance issues and best practices
• Facilitate collaboration between technical teams and business units to ensure AI and DAP policies are understood and adopted effectively
• Train employees on compliant and ethical use of AI and DAPs, ensuring systems are used effectively and responsibly
• Continuously monitor and evaluate the effectiveness of governance frameworks and make necessary adjustments
• Analyze data on employee/user behavior in core systems and adoption of key business processes. Partner with teams such as Strategy and Architecture to bake these findings into future state architecture and processes
• Stay abreast of emerging technologies, industry best practices, and regulatory changes

Benefits

• $146,900 — $172,800 USD (SF Bay Area / NYC area)
• $134,600 — $158,400 USD (Seattle Metro, Denver / Boulder Metro, New York (excluding NYC), Washington D.C., or California (excluding SF Bay Area))
• $122,400 — $144,000 USD (Colorado (excluding Denver / Boulder Metro) and Washington (excluding Seattle Metro))
• #LI-Remote