layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

AI Security and Data Protection Governance and Control, VP at State Street | LAYIQ

Set the enterprise vision, strategy, governance model, and multi-year roadmap for AI security, data protection, and emerging technology risk.
Lead, develop, and retain a multidisciplinary team responsible for governance, control oversight, risk assessment, assurance, program execution, and stakeholder engagement.
Establish enterprise policies, standards, control objectives, decision rights, risk ownership, and accountability across AI models, data assets, applications, infrastructure, cloud, identity, networks, and third-party services.
Direct the discovery, inventory, classification, and risk assessment of AI models, sensitive data, security controls, platforms, integrations, and critical technology dependencies.
Approve risk-based prioritization criteria and investment decisions using data sensitivity, business criticality, external exposure, retention, control maturity, regulatory impact, and remediation complexity.
Sponsor minimum control requirements, testing and evidence standards, exception governance, compensating controls, risk acceptance, and remediation expectations across the enterprise.
Oversee the transition of vulnerable or noncompliant implementations to approved secure technologies and control solutions, including milestones, funding, dependencies, control gates, and executive escalation.
Partner with Security Architecture and Engineering leaders to embed AI security, data protection, security-by-design, and adaptable control requirements into architectures, engineering standards, and reusable implementation patterns.
Establish third-party AI security and data protection requirements for products, cloud services, strategic vendors, due diligence, contracts, and ongoing oversight.
Serve as the senior subject-matter authority for AI security and data protection governance in engagements with executive leadership, Risk, Compliance, Legal, Internal Audit, external auditors, clients, and regulators.
Define management reporting, key risk indicators, performance measures, and executive dashboards covering inventory, exposure, control compliance, exceptions, remediation, roadmap delivery, and residual risk.
Own program operating rhythm, resource planning, budget priorities, and cross-functional governance to drive timely decisions and measurable risk reduction.

AI Security and Data Protection Governance and Control, VP

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