Must Have Technical/Functional Skills
- Experience designing, building, or integrating AI/ML systems or data-driven applications in an enterprise environment.
- Experience with data security, privacy, cybersecurity, or related control environments.
- Demonstrated experience translating governance, risk, or compliance requirements into technical controls, automated workflows, or monitoring/observability solutions.
- Hands-on experience implementing technical guardrails or standards for complex systems (e.g., service-level policies, access control, audit logging, monitoring, or approvals).
- Experience designing, implementing, or operationalizing an enterprise AI Governance Framework across the full lifecycle (intake, registration, classification, risk assessment, monitoring, observability).
- Experience developing reusable governance components (e.g., templates, SDKs, APIs, pipelines, policies-as-code) that can be embedded into AI development and deployment workflows.
- Experience establishing common taxonomies and classification schemes for AI or data use cases, including risk categorization and tiering.
- Experience implementing ongoing monitoring and observability for AI systems, including detection and management of Shadow AI and unapproved tools.
- Experience with enterprise governance, risk, and compliance platforms, specifically:Credo,OneTrust
- Experience with AI and data platforms and tooling such as Databricks
- Experience with international AI governance, including:
- Emerging AI regulations (e.g., elements aligned with the EU AI Act or other international frameworks)
- Operating AI governance in multi-jurisdiction, global environments
- Familiarity with AI safety, model risk management, or Responsible AI practices (e.g., fairness, transparency, accountability, robustness).
- Experience in large, complex, and/or highly regulated industries (e.g., defense, aerospace, financial services, healthcare).
Roles & Responsibilities
- Design and implement technical capabilities that support the AI Governance Framework throughout the AI lifecycle, from intake and registration through monitoring and observability.
- Translate AI policies, standards, and requirements into technical controls and automated governance workflows.
- Develop mechanisms and tooling to identify, register, classify, and assess AI use cases, and drive a common taxonomy for evaluation across the enterprise.
- Establish governance patterns for AI capabilities and develop reusable governance components that can be embedded into AI development and deployment pipelines.
- Automate and define standards for evidence collection and documentation to support governance, audit, and assurance needs.
- Design and implement technical guardrails and best practices for AI systems, including usage constraints, access patterns, and safeguards.
- Partner with Privacy, Legal, Cybersecurity, Global Supply Chain, and other governance bodies to integrate existing enterprise controls into AI systems and workflows.
- Develop or scale capabilities that provide enterprise visibility into AI systems and their lifecycle, including the detection and management of Shadow AI.
- Implement mechanisms for ongoing monitoring and observability of AI systems rather than relying solely on point-in-time assessments.
- Contribute to the continuous improv ement of AI governance practices, patterns, and tooling across the organization
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range $100,000 - $120,000 a year