Technical Security Governance Lead Jobs

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Identity Security Engineer on Palantir's Identity Security team, you will own the security posture of the identity infrastructure that Palantirians, customers, and services rely on every day. The Identity Security team is responsible for all identity types at Palantir - workforce, customer, workload, and agentic - giving you the rare ability to architect, threat model, and drive security outcomes across the full identity surface. You will help shape the technical direction for identity security at Palantir, reduce standing access, lead identity threat modeling, and contribute to the next generation of identity primitives including agent identity, JIT-native governance, and unified policy enforcement across workforce and customer IAM. As part of Palantir's best-in-class Information Security organization, you will research, architect, and scale solutions that help Palantir stay ahead of a dynamic identity threat landscape. Core Responsibilities Own the day-to-day identity security posture across corporate, production, customer, and US Government identity planes Drive the rollout of agent identity infrastructure - short-lived credentials, lifecycle bound to a human principal, controlled workload onboarding Architect authentication, federation, and authorization systems - including SAML, OIDC, and policy-driven access control models (RBAC, ABAC, policy-as-code) - across workforce and workload identity Scale non-human identity patterns across service, workload, and agent populations - short-lived credentials, mTLS, identity-based networking Drive adoption of just-in-time access patterns across the identi

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Identity Security Engineer on Palantir's Identity Security team, you will own the security posture of the identity infrastructure that Palantirians, customers, and services rely on every day. The Identity Security team is responsible for all identity types at Palantir - workforce, customer, workload, and agentic - giving you the rare ability to architect, threat model, and drive security outcomes across the full identity surface. You will help shape the technical direction for identity security at Palantir, reduce standing access, lead identity threat modeling, and contribute to the next generation of identity primitives including agent identity, JIT-native governance, and unified policy enforcement across workforce and customer IAM. As part of Palantir's best-in-class Information Security organization, you will research, architect, and scale solutions that help Palantir stay ahead of a dynamic identity threat landscape. Core Responsibilities Own the day-to-day identity security posture across corporate, production, customer, and US Government identity planes Drive the rollout of agent identity infrastructure - short-lived credentials, lifecycle bound to a human principal, controlled workload onboarding Architect authentication, federation, and authorization systems - including SAML, OIDC, and policy-driven access control models (RBAC, ABAC, policy-as-code) - across workforce and workload identity Scale non-human identity patterns across service, workload, and agent populations - short-lived credentials, mTLS, identity-based networking Drive adoption of just-in-time access patterns across the identi

Toradex is a global company strongly focused on engineering & technology. We’re powered by a diverse & uniquely gifted workforce. We pursue the best people to propel our innovative vision of embedded computing and IoT. If you’re interested in being a driving force at an agile technology company, engineering clever computing solutions & helping other companies bring their products to life, we should talk. About the Role We are looking for an experienced AI Development Team Lead to lead a global team of AI specialists responsible for delivering impactful Artificial Intelligence solutions across the organization. This role serves as the bridge between business and technology, translating business challenges, customer value opportunities, and operational needs into scalable AI solutions that generate measurable business outcomes. The ideal candidate combines strong leadership experience, AI expertise, Customer Value Stream knowledge, and enterprise architecture understanding to drive successful AI implementations across multiple business functions and regions. Key Responsibilities Lead and develop a global team of AI specialists and technical experts. Gather business requirements and translate them into AI-enabled solutions. Identify opportunities to improve customer experience, productivity, and business processes through AI. Drive delivery of AI initiatives, including Generative AI, AI Agents, Microsoft Copilot, automation, and analytics solutions. Partner with business leaders and process owners to support Customer Value Stream optimization. Collaborate with stakeholders across multiple countries and organizational functions. Ensure solutions align with enterprise architecture, security, governance, and integration standards. Support AI implementations involving CRM, ERP, Customer Service, Supply Chain, Finance, Data Platforms, and other enterprise systems. Qualifications Required Available to work Hybrid from Toradex Office in Campinas-SP. Fluent English

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The Head of Security Incident Management is responsible for leading and maturing WPP's global Security Incident Management capability, providing strategic, operational, and technical leadership across the entire incident response lifecycle. Reporting directly to the Director of Operational Security, this role owns the Security Incident Management function, including Security Incident Management Leads, Senior Security Incident Responders, and Security Incident Responders. The position ensures that security incidents are managed consistently, effectively, and in accordance with WPP policies, regulatory obligations, and operational standards. The role evolves and scales incident response capabilities in alignment with WPP's Autonomic Security Operations (ASO) strategy and automation-first operating model. This includes oversight of people, process, technology, governance, service performance, and continuous improvement. What you'll be doing: Own the end-to-end Security Incident Management capability across WPP. Lead and develop Security Incident Management Leads, Senior Security

The Engineering Lead Analyst – SonarQube & Code Quality Engineering is a senior-level engineering role responsible for leading static code analysis, automated code quality governance, security vulnerability remediation, and AI-augmented developer enablement across enterprise software delivery pipelines. In this role, you will champion software reliability, maintainability, clean-coding standards, and automated quality gates. You will partner with development teams, system architects, and platform engineering to integrate and manage enterprise-scale code quality platforms (such as SonarQube) both on-premises and in cloud/SaaS environments. Additionally, you will drive modern engineering practices by embedding Behavior-Driven Development (BDD) within your own software delivery and leveraging Agentic AI workers and Model Context Protocol (MCP) architectures to optimize developer experience, streamline code governance, and boost engineering velocity. Key Responsibilities 1. Code Quality & Static Analysis Platform Ownership Lead the architecture, deployment, administration, and continuous enhancement of enterprise Static Application Security Testing (SAST) and Code Quality platforms (e.g., SonarQube , DeepSource, Codacy, Semgrep). Configure, calibrate, and enforce automated Quality Gates, code rulesets, technical debt calculation models, and code-coverage baselines across multi-language enterprise repositories. Oversee version upgrades, patching, high availability, and operational maintenance for on-premises and SaaS/cloud-hosted code quality infrastructure. 2. CI/CD & Pipeline Integration <li style=

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team The AI Security team is a newly established organization within Micron's Cyber Defense & Resilience (CDR) group, reporting directly to the Deputy CSO. We provide AI and automation engineering expertise across CDR's security functions, partnering with Security Operations, Governance Risk & Compliance, Third-Party Risk, Security Awareness, and Security Architecture teams to strengthen the security of a global environment supporting 50,000&#43; employees and 100,000&#43; devices! Position Overview We are seeking a Principal AI Security Architect to serve as the senior-most technical authority for AI security within Cyber Defense & Resilience! This role will define and drive AI security strategy, be responsible for AI threat modeling and governance, lead AI-related incident response efforts, and act as the primary advisor to executive leadership on the secure use, defense, and response to emerging AI technologies and threats. Responsibilities Develop and own the AI security strategy, threat model, and roadmap for Cyber Defense & Resilience. Establish quarterly priorities for AI security initiatives and provide strategic direction across multiple security functions. Define risk classification criteria and review high-risk AI agent architectures, including systems with customer data access, autonomous decision-making, and external system integrations. Act as the lead coordinator for AI-related cybersecurity incidents, partnering with ent

Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks) Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder. Experience Required 8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role. Microsoft Fabric: 2+ years hands-on. Azure Databricks: 4+ years hands-on. Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end. Azure is mandatory ; experience across multiple client engagements or a consulting/SI background is a plus. Core Technical Expertise Azure Platform Fabric & Databricks architecture. ADF. ADLS. Entra ID. Key Vault. Monitor/Log Analytics. Microsoft Fabric Workspace & environment strategy. Lakehouse/Warehouse. OneLake. Pipelines/Notebooks. REST APIs/CLI. Governance. Azure Databricks Workspace strategy. Unity Catalog. RBAC. Jobs/Workflows. Delta Lake. Asset Bundles. ML platform integration. DevOps & IaC Azure DevOps/GitHub CI/CD. Terraform & Bicep. Branching/release strategy. Reusable IaC modules. Security & Networking Entra ID. RBAC architecture. Private Endpoints/DNS. Key Vault integration. DataOps Standards CI/CD & test gates for pipelines. Data-quality frameworks. Observability/alerting architecture. SLAs/SLOs. Incident-management practices. FinOps guardrails. Key Responsibilities Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs. Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance. Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance. Evaluate technology options; identify architectural risks a

We are looking for a Data Governance & Compliance Manager to join our Information Security team. In this role, you will own the strategy and execution of Talkdesk's data governance program , covering data lifecycle management, retention, privacy rights management, data classification, and data protection controls. You will work closely with Legal & Privacy, Product, Engineering, Security, and business stakeholders to translate regulatory and contractual requirements into practical, scalable controls, processes, and tooling. This is a highly cross-functional role that requires a combination of strong data governance and privacy expertise, project leadership, technical understanding, and the ability to influence stakeholders across the organization. What You'll Own Data Governance & Compliance Strategy Build and own the roadmap for Talkdesk's data governance program, from requirements and design through implementation, measurement, and continuous improvement. Define and maintain data governance policies, procedures, standards, and controls covering data classification, retention, privacy rights management, and data protection. Embed governance requirements into engineering and data processes, enabling teams to follow secure and compliant practices by default. Monitor regulatory developments, including GDPR, CCPA, and other global privacy regulations, and translate them into actionable governance requirements. Assess projects and initiatives to ensure compliance with applicable data governance, privacy, and regulatory requirements. Identify opportunities where strong data governance can create business value, improve customer trust, and enable responsible data use. Cross-Functional Partnership & Execution Partner closely with Legal & Privacy to translate regulatory and contractual requirements into practical governance controls. Collaborate with Product and Engineering to embed data governance and privacy-by-design principles into products

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! The Opportunity Cohere seeks a Chief Information Security Officer who can help shape Cohere’s security strategy & the broader conversation around securing AI at scale. You know how to build trust across organizations and communicate trade-offs clearly in environments where speed, innovation, and security must coexist. You will build the playbook and lead the evolution of Cohere’s global security program across corporate systems, cloud infrastructure, AI development, and enterprise operations. As a visible leader for Cohere’s security vision internally and externally you will navigate risk, represent Cohere in industry discussions, and reinforcing our commitment to building AI responsibly. In this role you will: Define and Scale Cohere’s Security Strategy: Define and execute Cohere’s overarching information security strategy in alignment with business priorities and long-term company growth. Build a Modern Risk, Governance & Compliance Program: Lead Cohere in identifying, assessing, and mitigating security risk across all business functions. Secure AI Systems and Technical Infrastructure: Lead the security architecture st

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. Main Responsibilities As a Senior Technical Consultant / Senior AI Engineer , you will lead the design and delivery of impactful AI and data solutions. You’ll combine hands-on engineering with client advisory, guiding multi-disciplinary teams from opportunity framing to production deployment. Own solution architecture & delivery: Define end-to-end architectures (data, ML/LLM, APIs, security), make build/buy decisions, and drive projects from PoC to production with reliability, observability, and cost in mind. Lead complex PoCs & pilots: Scope, prototype, and validate AI/ML use cases (incl. LLMs/GenAI, RAG, fine-tuning, evaluation) and convert successful pilots into scalable products. Advanced programming & modeling: Build, adapt, and evaluate ML/DL/LLM models using Python (PyTorch, TensorFlow, HuggingFace, LangChain/LlamaIndex), including prompt engineering, fine-tuning/LoRA, vector search, and safety/guardrails. Cloud & MLOps/LLMOps: Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines). Client advisory & stakeholder management: Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade-offs, and ensure measurable business impact. Quality, se

About the role Adobe’s Security Data Platform team builds and operates a petabyte-scale security data lakehouse that turns enterprise telemetry into trusted data for threat detection, investigations, compliance, and security analytics. As a Staff Security Data Engineer, you will own full-system designs and lead critical engineering initiatives across ingestion, storage, governance, orchestration, and data serving. This is a hands-on individual contributor role: you will write and review production code, build infrastructure, define test strategy, fix complex failures, and work with other engineers to deliver the architecture you help shape. You will partner with Security Operations, Threat Intelligence, Compliance, Security Engineering, and infrastructure teams to resolve technical tradeoffs and deliver reliable, cost-effective platform capabilities. Your impact will come through engineering delivery, sound architectural decisions, and helping others become stronger technical leaders. Help us evolve our team from petabyte scale toward exabyte scale! Core responsibilities Platform architecture and engineering Own end-to-end designs that shape the Security Data Platform’s fundamental architecture on Databricks and AWS, using Spark, Delta Lake, and Unity Catalog. Translate ambiguous needs into design proposals, implementation plans, and production capabilities. Build and evolve distributed batch and streaming pipelines for EDR telemetry, network logs, identity events, cloud audit logs, and new security data sources. Design for throughput, fault tolerance, replay, schema evolution, and sub-minute freshness where use cases require it. Write maintainable Python and SQL, develop complex platform features, and refactor unreliable code. Establish reusable engineering patterns, lead code and design reviews, and own test strategy and automation choices across pipelines and infra

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments. Our portfolio includes Zafin AIOS , an agent orchestration platform for governed AI work; the Zafin Banking Platform , which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO , an integration platform that connects data, systems, and workflows across complex enterprise environments. Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale. What is the opportunity? As a Technical Consultant III , you will be responsible for designing, configuring, developing, and implementing Zafin SaaS solutions for financial institutions. You will translate banking, product, pricing, billing, workflow, integration, and data requirements into scalable technical solutions that support successful client implementations. You will work across implementation planning, solution design, configuration, development, integration, testing, deployment readiness, troubleshooting, production support, and continuous improvement. At the Technical Consultant III level, you will also provide hands-on technical direction, mentor junior team members, support client-facing decisions, and help ensure delivery of quality, maintainability, security, auditability, and operational readiness. What will you do? Deliver implementation of workstreams across product, pricing, billing, offers, eligibility, approvals, reporting, integrations, automation, and related platform capabilities. Translate client requirements into solution a

About the Team OpenAI's Enterprise team builds AI-powered enterprise products and shared platform capabilities that help organizations put advanced AI to work securely and at scale. Our work spans enterprise workflows, agent experiences, integrations, identity, administration, security, governance, and deployment. About the Role As a Technical Program Manager on Enterprise, you will lead the technical strategy and execution behind the products and shared capabilities that make ChatGPT, Codex, and future OpenAI products useful, secure, and scalable for organizations. You will translate customer needs, competitive dynamics, and product priorities into actionable plans, influence architectural direction, and deliver durable capabilities across application, platform, and infrastructure layers. The role requires deep technical fluency, strong product judgment, and the ability to move between hands-on execution and broader enterprise strategy. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Drive technical strategy and execution for enterprise product and AI workflow initiatives, from design through implementation, launch, customer rollout, and iteration. Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems. Translate enterprise customer requirements into actionable product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness. Represent the needs of enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions. Identify adoption barriers, competitive gaps, and opportunities to make OpenAI products easier for organizations

About the Team OpenAI's Enterprise team builds AI-powered enterprise products and shared platform capabilities that help organizations put advanced AI to work securely and at scale. Our work spans enterprise workflows, agent experiences, integrations, identity, administration, security, governance, and deployment. About the Role As a Technical Program Manager on Enterprise, you will lead the technical strategy and execution behind the products and shared capabilities that make ChatGPT, Codex, and future OpenAI products useful, secure, and scalable for organizations. You will translate customer needs, competitive dynamics, and product priorities into actionable plans, influence architectural direction, and deliver durable capabilities across application, platform, and infrastructure layers. The role requires deep technical fluency, strong product judgment, and the ability to move between hands-on execution and broader enterprise strategy. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Drive technical strategy and execution for enterprise product and AI workflow initiatives, from design through implementation, launch, customer rollout, and iteration. Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems. Translate enterprise customer requirements into actionable product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness. Represent the needs of enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions. Identify adoption barriers, competitive gaps, and opportunities to make OpenAI products easier for organizations

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. In partnership with leading cloud providers, hardware manufacturers, utilities, construction partners, and internal engineering organizations, we are delivering hyperscale AI campuses that power the next generation of frontier AI models. Infrastructure Delivery Operations sits at the center of this effort. Our team develops the operating model that connects infrastructure strategy, supply planning, manufacturing operations, and delivery into a single, integrated system that enables OpenAI to deploy AI infrastructure predictably at scale. We partner across Hardware Engineering, Network Engineering, Capacity Delivery, Hardware Operations, Security, Finance, Strategic Sourcing, and external infrastructure partners to create a single, integrated view of program health. Through governance, operational analytics, executive reporting, and scalable operating mechanisms, we enable leaders to proactively manage risk, optimize capacity, and deliver infrastructure predictably at Industrial Compute speed. About the Role We are seeking a Technical Program Manager, Infrastructure Delivery Operations to drive integrated strategy and delivery across OpenAI's rapidly expanding AI infrastructure portfolio. This role sits at the intersection of infrastructure strategy, New Product Introduction (NPI), supply planning, manufacturing operations, and infrastructure delivery. You will lead highly cross-functional programs spanning engineering, supply planning, manufacturing, logistics, construction, commissioning, and operations, ensuring technical and operational dependencies remain synchronized from planning through production readiness. Beyond driving program execution, you will leverage operational insights to improve capacity planning, infrastructure strategy, and deployment readiness. You will also help operationalize new technologies and suppliers by partnering w