Вакансии

Location: Singapore About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure team in conjunction with the Workato AI Lab in Singapore. You will work closely with engineers in Singapore, US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day. As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems. In this role, y ou will also be responsible to: Design, build, and maintain a global, distributed, and resilient cloud infrastructure. Collaborate with US-based engineering teams to plan and deliver complex platform initiatives. Patch and optimize open-source components for performance and security. Develop low-level internal services using Linux syscalls and networking primitives. Manage and provision AWS infrastructure using Terraform and Kubernetes. Write and maintain Kubernetes manifests and deployment configurations for critical workloads. Improve and maintain CI/CD pipelines for scalable and secure component delivery. Tune Linux systems and open-source software for high performance and hardened security. Build internal tools to streamline engineering workflows and operational automation. Participate in architecture reviews, incident response, and performance analysis to ensure system reliability. Requirements Qualifications / Experience / Technical Skills 5+ years of experience in infrastructure or systems engineering roles. Proven expertise in distributed systems and cloud-native architectures. Strong understanding of Linux internals, including networking and system-level performance tuning. Experience operating infrastructure on AWS at scale. Proficiency with Terraform, Kubernetes. Solid understanding of network security and cloud security best practices. Hands-on experience optimizing CI/CD workflows and automating deployments. Excellent analytical, troubleshooting, and communication skills. Nice to Have Experience with Golang for tooling or internal services. Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies. Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics. Understanding of Vault or other secrets management systems. Contributions to or maintenance of open-source infrastructure projects. Tech Stack AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault (REQ ID: 2437)

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities You’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research. What you’ll own Data strategy and delivery Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates. Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions. Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act. People and organization Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows. Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence. Analytics engineering and the data platform Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads. Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform. Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision. Product analytics and experimentation Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation. Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release. Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision. Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small. Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again. Metrics, self-service, and AI-assisted analytics Publish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently. Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request. Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation. Data culture and industry research Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities. Lead original research for the Workato Automation Index and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use. Requirements What you bring 10+ years in analytics, data science, or a related quantitative field , including experience leading senior practitioners, developing managers, and scaling teams. Data engineering and modeling expertise. You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt. Data cataloging and governance experience. You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable. B2B product and analytical judgment. You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward. Cross-functional leadership. You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives. Practical AI fluency. You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus. What success looks like Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change. Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries. Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs. Product leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving. (REQ ID: 2538)

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We're looking for a Staff Product Manager to own the build experience for Agent Studio — how customers create, configure, and iterate on AI agents within Workato. You'll own builder experience end-to-end. This role sits at the intersection of AI capabilities and builder usability - designing an experience where business technologists can build sophisticated AI agents without getting lost in complexity. You'll need to make hard calls about what to expose, what to abstract, and when to guide versus get out of the way. In this role, y ou will also be responsible to: Define, own and transform the entire experience where builders define agents and use them in recipes to achieve truly agentic experiences. Work closely with the PMs who own the recipe editor, knowledge base, and platform infrastructure to ensure the end-to-end builder journey is coherent. Spend significant time with customers understanding where they get stuck, what mental models they bring, and how you can bring delightful experiences at each stage in their journey Communicate the product strategy and requirements to key stakeholders Drive the product life cycle - ideation, design, prioritization, delivery, and adoption Bring teams together to define and implement product features Articulate product differentiation and value to internal and external stakeholders Define key metrics and measure the performance of features Requirements Qualifications / Experience / Technical Skills Strong product management experience, with meaningful time spent on products where the UX challenge was making something powerful feel approachable. You've worked on tools that serve users across a skill spectrum and had to decide how much complexity to expose at each level. Track record of translating technical capabilities into interfaces that feel intuitive without dumbing things down. You understand the difference between hiding complexity and organizing it — and you've shipped products that do the latter well. B2B software but aren't bound by B2B conventions. You look at enterprise tools and see opportunities where others see "that's just how it is." You're drawn to products like Figma, Linear, or Notion that prove complex workflows can still feel elegant. Familiarity with AI/ML concepts — enough to understand what builders are trying to accomplish and where current tooling falls short. You don't need to tune models yourself, but you should be able to have informed conversations about RAG, prompting, and evaluation approaches. 7+ years in Product Management Experience designing builder/creator tools, workflow products, or platforms where users construct rather than just consume Demonstrated ability to simplify complex products through thoughtful UX — portfolio examples or case studies welcome Experience working closely with design teams on interaction-heavy products Familiarity with AI product concepts Strong written and verbal communication skills Bachelor's degree or equivalent experience Nice to Have Background in design, or experience as a designer who transitioned to PM Experience with low-code/no-code platforms, IDE-like tools, or creative software Experience with products that serve both technical and less-technical users simultaneously Soft Skills / Personal Characteristics Strong written and verbal communication skills You're a strong communicator who can articulate design rationale to engineering, advocate for builder needs to leadership, and write clear product specs that don't leave interaction details to chance. (REQ ID: 2468)

Location: Singapore About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional Enterprise Account Executive to join our growing team in  Singapore, covering Asia. In this role, y ou will also be responsible to: Reporting directly to our VP of sales, you'll build and execute a territory plan targeting some of the largest enterprises in Asia. You'll be almost wholly focused on new business. Both selling directly and with/through channel partners. Along with our SDRs, partner sales and marketing teams you will multi-thread with C level executives across business units in your target accounts. Aiming to craft deals over >$100k. You'll be based in Singapore with access to our Suntec office, but we'll trust you with total flexibility to work in the way that suits you. Requirements Qualifications / Experience / Technical Skills 7+ years of experience in a full cycle, closing role Experience handling and owning relationships with enterprise companies Proven track record of consistently meeting or exceeding quota Soft Skills / Personal Characteristics First and foremost, you're a sales person. You enjoy being in an evolving fast growing  environment and you don't like to sit back enjoying the comfort of a large corporate. You're a hunter, but not a lone wolf. You know how to play as a team and how to craft  large complex deals by pulling in colleagues who you've built trust with. You'll have to be comfortable with the natural ambiguity that comes in a startup  environment and not reliant on corporate safety nets. (REQ ID: 2367)

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As Staff Product Manager for AI-Powered Developer Experience , you will own the customer-facing authoring, testing and debugging experiences that technical and business users rely on to build sophisticated automations in Workato. You will make complex enterprise orchestration easier to create, understand, test and troubleshoot - while introducing AI-powered assistance that accelerates development without sacrificing control, transparency or reliability. Enable Advanced Integration Patterns Support complex enterprise patterns including scatter-gather and asynchronous processing Build capabilities for multiple trigger configurations and conditional routing Deepen debugging capabilities such as mid-job reruns and viewing logs in loops Ensure the platform can handle sophisticated error handling and compensation patterns Drive innovation in how users visualize and manage complex workflow orchestrations Leadership in Builder Experience Innovation Develop and execute the product strategy for comprehensive authoring experiences across the entire automation lifecycle Define and prioritize the roadmap for next-generation builder capabilities including AI-powered copilot features, advanced debugging tools, and intelligent assistance Champion user-centric design principles to ensure the builder experience delights users at every skill level Drive adoption of advanced integration patterns including multiple triggers, scatter-gather, and promise-based architectures Drive AI-Powered Development Assistance Integrate AI copilot capabilities to accelerate automation development through intelligent code suggestions and pattern recognition Build smart error detection and resolution features that guide users to successful implementations Leverage machine learning to provide contextual help and recommendations based on user behavior and common patterns Partner with AI research teams to infuse intelligence throughout the authoring experience Build Comprehensive Development Tools Own the macro-view experience for managing multiple assets working together, ensuring seamless collaboration and reusability Deliver micro-view capabilities for deep debugging of individual steps, loops, and data transformations Implement robust design-time testing capabilities that reduce errors before deployment Create sophisticated undo/redo mechanisms, draft management, and autosave features that protect user work Lead Cross-Functional Execution Collaborate closely with engineering, UX, and architecture teams to deliver seamless builder experiences Partner with Platform Experience PM to ensure consistency across the platform Work with customer success and support teams to understand pain points and iterate on solutions Act as the voice of the builder, advocating for developer and business user needs across the organization Requirements Leadership & Product Management 8+ years of product management experience in SaaS or B2B environments, with focus on developer tools or low-code/no-code platforms Proven success in shipping complex authoring experiences that balance simplicity with power Strong track record of improving developer productivity metrics and user satisfaction scores Experience leading cross-functional initiatives that require deep technical understanding and user empathy Builder & Developer Tools Expertise Deep expertise in IDE design, code editors, visual programming interfaces, and debugging tools Strong understanding of both low-code/no-code paradigms and traditional development workflows Experience with modern development practices including version control, CI/CD, and collaborative development Hands-on experience with automation platforms, iPaaS solutions (Zapier, Make, Mulesoft, Boomi), or workflow builders Familiarity with AI-assisted development tools and copilot technologies Technical Foundation Strong technical background with ability to understand complex integration patterns and distributed systems Experience with API design, data transformation, and enterprise integration patterns Understanding of performance optimization, scalability challenges, and enterprise-grade requirements Ability to work closely with engineering teams on technical architecture decisions AI & Intelligent Automation Experience integrating AI/ML capabilities into development tools to enhance productivity Understanding of natural language processing for intent recognition and code generation Familiarity with predictive analytics for error prevention and performance optimization Vision for how AI can transform the development experience without sacrificing control Customer-Centric Execution Ability to deeply understand the needs of diverse user personas from citizen developers to enterprise architects Proven ability to translate complex technical concepts into intuitive user experiences Track record of using data, user research, and feedback to drive product decisions Experience balancing the needs of technical and non-technical users in a single platform Analytical & Data-Driven Decision Making Strong ability to define and track metrics that matter for developer productivity and satisfaction Experience with A/B testing, feature experimentation, and iterative improvement Ability to analyze usage patterns to identify opportunities for simplification and automation Data-driven approach to prioritization and roadmap planning Educational Background Bachelor's Degree in Computer Science, Engineering, Human-Computer Interaction, or a related field An advanced degree is a plus but not required Job Req #2285

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities Drive the future of enterprise automation governance at Workato, the leading Enterprise Orchestration platform. As Staff Product Manager for Enterprise & AI Governance, you'll deliver next-generation governance capabilities that enable Fortune 500 companies to scale AI-powered integrations securely across global operations while meeting the strictest regulatory and enterprise architecture requirements. Enterprise Governance & AI Control Own the roadmap for centralized governance across Workato's enterprise platform, including agentic AI governance, autonomous workflow controls, and intelligent policy enforcement. Design automated compliance frameworks that scale from hundreds to thousands of integrations while maintaining enterprise-grade security. Access Control & Identity Management Define and deliver advanced RBAC systems and least-privilege access controls that work seamlessly across multi-cloud, hybrid environments. Partner with engineering to build policy-as-code capabilities and real-time access governance. Compliance Automation Build compliance automation tools supporting SOC 2, GDPR, HIPAA, SOX, and emerging AI regulations like the EU AI Act. Create self-service governance workflows that reduce manual compliance overhead by 70%. Success Metrics Accelerate enterprise adoption: Enable 40% faster enterprise-wide Workato deployment through centralized governance and automated compliance workflows. Reduce administrative burden: Decrease governance overhead by 70% through intelligent automation and policy-driven access management. Drive customer success: Enable 80% of enterprise customers to deploy governance frameworks within the first 30 days. Lead AI governance: Pioneer agentic AI governance for integration platforms, supporting autonomous workflows with built-in guardrails. Requirements Qualifications / Experience / Technical Skills Essential Experience 7+ years product management experience in enterprise B2B SaaS platforms, with 4+ years in governance, security, or identity management. Deep understanding of enterprise access control models (RBAC, ABAC), identity protocols (SAML, OAuth 2.0, OIDC), and policy management frameworks. Knowledge of enterprise IT governance frameworks (ITIL, COBIT, NIST) and regulatory requirements (SOC 2, GDPR, HIPAA, SOX). Experience with policy-as-code implementation and enterprise integration patterns. SQL proficiency for governance analytics and compliance reporting. AI & Modern Governance Understanding of AI governance principles including model bias detection, algorithmic transparency, and automated policy enforcement. Knowledge of agentic AI systems and autonomous workflow governance challenges. Familiarity with emerging AI regulations and their impact on enterprise software platforms. Leadership & Execution Track record of shipping governance features that scaled to thousands of enterprise users. Experience collaborating with security teams, compliance officers, and IT administrators across global organizations. Strong analytical skills with experience defining and tracking governance KPIs and compliance metrics. (REQ ID: 2248)