Senior Tech Lead- AI Governance

Job summary

Define and implement enterprise-wide AI governance frameworks and policies to ensure compliance with global regulations like the EU AI Act. Partner with cross-functional teams to conduct risk assessments and establish controls for responsible AI and data security posture management.

Job details

Role description Position Title- AI Governance & Data Security Consultant Location- Toronto, ON We are seeking an experienced AI Governance Consultant to support a strategic initiative focused on AI Governance, Data Security, and Security Posture Management. The ideal candidate will possess strong expertise in AI regulatory frameworks, governance standards, risk management, and security controls, with hands-on experience implementing governance programs for AI and data platforms. This role will play a critical part in establishing governance frameworks, ensuring compliance with global AI regulations, and aligning AI deployments with enterprise security and risk management objectives. Years of Experience: 7+ years Technical Skills Required: Strong understanding of: AI Governance frameworks. Responsible AI principles. AI Risk Management. Data Governance and Security. Model Risk Management. Experience implementing governance programs for AI, data platforms, cloud, or security initiatives. Knowledge of AI regulatory requirements and industry standards. Experience conducting risk assessments and compliance evaluations. Strong stakeholder management and cross-functional collaboration skills. Required Standards & Regulatory Knowledge AI Governance Standards ISO/IEC 42001 (AI Management System) NIST AI Risk Management Framework (AI RMF) OECD AI Principles Responsible AI frameworks Regulatory & Compliance Knowledge EU AI Act GDPR and privacy regulations Data governance and data protection requirements Emerging global AI regulations and compliance frameworks Security Standards (Preferred) ISO 27001 NIST Cybersecurity Framework Data Security Posture Management (DSPM) Cloud Security Governance Preferred Experience with Generative AI governance programs. Experience implementing AI controls within Microsoft ecosystem. Experience working with large enterprise transformation initiatives. Strong understanding of data lineage, data classification, and AI model lifecycle governance. Tools Microsoft Purview Microsoft Security Copilot Microsoft Defender Suite DSPM solutions Data Classification and Data Loss Prevention (DLP) Cloud Security Posture Management (CSPM) Risk and Compliance platforms GCP Preferred Certifications: ISO/IEC 42001 Lead Implementer or Lead Auditor ISO 27001 Lead Implementer/Auditor Certified Information Systems Security Professional (CISSP) Certified Information Security Manager (CISM) Certified Data Privacy Professional (CIPP) AI Governance or Responsible AI certifications Key Responsibilities Define and implement enterprise-wide AI Governance frameworks, policies, and operating models. Assess AI systems for compliance with regulatory and industry standards. Ensure alignment with emerging AI regulations, including the EU AI Act and other global AI governance requirements. Develop governance controls for responsible AI, model lifecycle management, risk assessment, and AI monitoring. Partner with Security, Data Governance, Privacy, Legal, and Compliance teams to integrate governance requirements across the organization. Support implementation of Data Security Posture Management (DSPM) and AI-related security controls. Conduct AI risk assessments, impact assessments, and compliance reviews. Establish governance processes for model inventory, documentation, explainability, transparency, and auditability. Define policies for AI data usage, data classification, retention, and protection. Create executive-level reporting, governance dashboards, and compliance metrics. Support security architecture reviews for AI and data platforms. Recommend controls to mitigate AI-specific cybersecurity, privacy, and data security risks. About Mphasis Mphasis applies to next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients. Equal Opportunity Employer Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster , view the EEO in the law supplement . To view the pay transparency nondiscrimination provision please click and to view the E-Verify posting click . Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request Other details Deputation Location : CA~Ontario~Toronto null

What you’ll do

Define and implement enterprise-wide AI governance frameworks and policies to ensure compliance with global regulations like the EU AI Act. Partner with cross-functional teams to conduct risk assessments and establish controls for responsible AI and data security posture management.

Requirements

Requires over 7 years of experience in AI governance, data security, and risk management with a strong understanding of ISO and NIST frameworks. Preferred candidates possess certifications such as CISSP, CISM, or ISO 42001 Lead Implementer and have experience with the Microsoft ecosystem.

Listed skills

• Risk Management · Preferred
• Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AI Governance
• Data Security
• Risk Management
• Responsible AI
• Model Risk Management
• EU AI Act
• GDPR
• ISO/IEC 42001
• NIST AI RMF
• Microsoft Purview
• Data Classification
• Cloud Security Governance
• Stakeholder Management
• Compliance Evaluation
• DSPM
• AI Model Lifecycle Governance

Job areas

• Consulting
• Technology
• Security & Safety
• Data & Analytics
• Management & Leadership