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Enterprise Operational Control Testing Senior Jobs

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Explore current enterprise operational control testing senior jobs. Use filters to narrow by work mode, employment type, experience and date posted.

O
3mo ago

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-t

awsrestmachine learning
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WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organisations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organisations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As a Sales Development Representative, you'll work closely with our Account Executives and Marketing department to ensure leads are effectively managed across teams in order to attract great clients. Our SDRs play a crucial role in the company, and we'll provide you with the necessary tools, training, mentorship, and leadership as you collaborate with companies to identify their challenges and how Box can help solve them. WHAT YOU'LL DO Act as the initial point of contact for new customers via our sales channels and respond promptly to their inquiries Engage with potential clients through various communication channels such as calls, emails, and marketing efforts aimed at creating business opportunities Foster con

aisalesforce
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Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The next leap in enterprise Finance will not come from automating what we already do; it will come from making Finance intelligent — helping the Office of the CFO move from gatekeepers to growth catalysts with faster insight, stronger controls, and better decisions at enterprise scale. At Everpure, we do not layer AI on top of legacy workflows — we redesign the work itself. Inside the Office of the CFO, our newly formed Finance AI Factory carries a clear mandate: build AI-native Finance from the ground up — agents that surface insight as events happen, documents that are read, routed, and processed under control, and decisions backed by models that are accurate, auditable, and trusted at enterprise scale. You’ll build the team and the technology with it. As Senior Engineering Manager, Agentic AI for Finance, you’ll hire and lead a high-performing Finance AI Factory engineering team from scratch — designing and shipping production-grade, control-aware AI agents that transform how Finance closes the books, applies cash, reconciles accounts, and executes core workflows. This is a hands-on leadership role — roughly 60% architecture and technical delivery, 40% people leadership — for a builder-turned-manager who can set technical direction, raise the bar on quality, coach a high-caliber team, and translate complex finance process pain into trustworthy automation. WHAT YOU'LL DO Own the end-to-end agentic AI archi

pythonawsrest
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D
Databricks
📍 United States• $217.8K – $299.6K/yr
3mo ago

(GAQ327R301) Databricks is shaping the future of data and AI, and building world-class engineering teams requires world-class talent strategy. This role serves as the central driver for compensation intelligence and analytics, empowering faster, highly informed, and consistent organizational decision-making through data-driven insights. Reporting directly to the VP of Total Rewards, this is a strategic builder’s role tailored for an expert operating at the intersection of compensation, advanced analytics, data engineering, and business strategy. Scope of the Role AI & Data Strategy Lead (60%) — Serve as the lead subject matter expert on AI and data strategy within the Compensation function. Collaborate closely with People Intelligence and IT teams to design, architect, test, and deploy automated workflows and AI-driven solutions across core compensation processes. Enterprise Program Analytics (30%) — Lead company-wide compensation analytics, overseeing total compensation budget forecasting and providing the analytical framework supporting major executive program decisions. Market Intelligence & Executive Reporting (10%) — Monitor, evaluate, and report on market dynamics across cash, equity, and total rewards programs through Quarterly Business Reviews (QBRs) and executive summaries. What You'll Bring Analytics Data Fluency & System Architecture — Core competency in transforming complex, unstructured datasets into actionable business insights, predictive tooling, and strategic recommendations. Capability to synthesize numbers into cohesive narratives and build scalable systems designed to anticipate future business needs. Technical & Platform Expertise — Advanced proficiency in Google Sheets and Excel. Strong working knowledge of SQL and hands-on experience with business intelligence platforms (e.g., Databricks) is highly preferred. Proficiency in Python and practical application of AI in compensation analytics are significant advantages. AI Leadershi

pythonsqlai
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W
WRITER
📍 India• Full-time
3mo ago

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As a Corporate it engineer at WRITER, you'll be the backbone of our internal technology ecosystem. You'll design, build, and scale the systems that empower our rapidly growing team to do their best work. This isn't just about closing tickets; it's about architecting seamless, secure, and automated experiences across our entire SaaS and hardware landscape. You'll have the opportunity to shape how a leading AI company operates from the inside out, ensuring our infrastructure scales as fast as our ambitions. This role is hybrid and based out of our San Francisco or New York City office hubs. You will report to Staff IT lead 🦸🏻‍♀️ What you'll do Own the architecture and administration of our core enterprise SaaS platforms — including Google Workspace, Slack, and Okta Build robust automations and API integrations using Python and Terraform to eliminate manual IT processes and engineer zero-touch onboarding and offboarding for our global workforce Drive our identity and acc

pythonrestai
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SA
Scale AI
📍 United States• Full-time• $250K – $350K/yr
3mo ago

About Scale Scale’s mission is to develop reliable AI systems for the world’s most important decisions. As the leading AI data foundry, we provide the high-quality data and full-stack technologies that power the world’s most advanced models — fueling breakthroughs in generative AI, defense, and autonomous vehicles. We partner with leading enterprises and governments to bring AI into production that performs when it matters most, combining rigorous evaluation with full-stack deployment so our customers can build AI they can trust. About the Team Applied Intelligence Systems (AIS) is part of the Scale Generative AI Platform (SGP), focused on pushing the frontier of what agentic applications can do across diverse enterprise and government use cases. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale our customers demand. AIS spans multiple workstreams — agent evaluation and oversight, orchestration and tool-use infrastructure, model and systems optimization, and applied research on new agent capabilities — and this role is not scoped to any single one of them. We’re growing fast, with increasing traction across both commercial and public sector customers, and we’re just getting started — this team will define what dependable, production-grade agentic AI looks like. About the Role As a Staff Machine Learning Research Engineer, you will operate across the full breadth of AIS’s technical needs — wherever the hardest ML problem in agentic AI happens to be that quarter. This could mean training and fine-tuning models, designing evaluation and observability systems, building improvement loops from production data, prototyping novel agent architectures, or designing internal systems and tooling that boost productivity across teams. You’re not tied to one team’s roadmap; you’re expected to move to where the technical leverage is highest, and t

machine learningai
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PI
Pie Insurance
📍 United States• $205K – $295K/yr
3mo ago

Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance. Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make. The VP, Field Underwriting owns Pie's underwriting P&L and the execution engine behind it. Reporting to the Chief Underwriting Officer and operating as a member of the executive team and peer to the VP of Insurance Product and Pricing, this leader is accountable for portfolio results, team performance, and the operating model that delivers them. The VP shapes company priorities alongside functional accountability — that means making enterprise-first calls when function and enterprise are in tension. They define how Field UW operates for the next several years: who it hires, how the onshore/offshore model evolves, what the AI-enabled underwriting function looks like at scale, and what underwriting excellence means for Pie's customers. This role partners closely with Corporate Underwriting on the automation roadmap, providing the field execution perspective that drives what gets built next. Someone who has managed a steady-state function will not thrive here. Someone who has built and restructured will. How You'll Do It Own Underwriting Results and Portfolio Performance Own loss ratio outcomes across New Business and Renewal. Drive underwriting strategy in partnership with the VP of Insurance Product and Pricing and the CUO, including appetite, authority standards, and risk selection philosophy. Partner with Corporate Underwriting on appetite, eligibility, and underwriting best practices development; anchor those decisions in field execution experience and portfolio loss data. Establish portfolio monitoring frameworks that surface emerging trends bef

airecruitment
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M
MongoDB
📍 United States• Full-time• From $151K/yr
3mo ago

MongoDB’s Security Product Management team is seeking a Staff Product Manager to own security, compliance, and public sector product strategy within Atlas for Government (A4G). In this role, you will be a key member of the security product management team, helping make data security a market differentiator that enables MongoDB to win in enterprise and regulated industries. You will lead product strategy and execution for capabilities and programs that support federal compliance requirements and broader regulated-industry needs. You will work across Engineering, Compliance, Legal, Security, and Go-to-Market teams to translate complex regulatory and customer requirements into clear product investments, roadmaps, and outcomes. This role is suited for a candidate who can orchestrate multiple interlinked product areas, own cross-team product and architectural trade-offs, and align senior stakeholders around multi-year bets. You will be expected to identify opportunities and dependencies that cut across team boundaries, bring clarity to ambiguous problem spaces, and establish reusable ways of working that help MongoDB deliver secure, compliant platform capabilities for public sector and other regulated markets. You will partner closely with senior engineering and business leaders to evaluate trade-offs, sequence investments, and bring clarity to decisions that balance customer impact, execution risk, and long-term business value. This role can be based out of of our offices or remotely in the United States. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. Our FedRAMP program requires that anyone who is accessing customer data or metadata inside the Authorization Boundary be a US Person on US Soil. Responsibilities Security and Compliance Product Strategy Own the public sector compliance roadm

mongodbawsazure
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B
Box
📍 CA, United States• $142K – $170K/yr
3mo ago

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHAT YOU'LL DO The Solutions Architect is part of the Customer Success organization and the Box Consulting team, and works across Box and with customers to define and build out complex solutions. The Solutions Architect is a high impact, high visibility role, responsible for ensuring customer satisfaction while promoting Box technical and platform solutions.You will play a critical role in building and sustaining customer and partner relationships while driving the adoption of the Box product and platform. The Solutions Architect also works closely with sales and field teams to maximize opportunities by understanding customer needs, envisioning a future state, and helping customers get there. On any day, you could be advising an enterprise on how to d

typescriptpythonjava
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H
3mo ago

We’re looking for a Training Specialist to help us build and facilitate instructor-led training workshops, subject specialist training content, and eLearning modules for our worldwide Customer Support teams. You’ll be working on onboarding and other training programs to help ensure the ongoing, long-term improvement of Customer Support Advocates’ skills, enabling them to fulfill their potential within the Customer Support team. This role is Hiring in Mexico City, Mexico and will report to Manager, Customer Support Training & Development. WHAT YOU’LL DO: Facilitate onboarding for all new Customer Support Advocates, including assessing new hires’ knowledge and providing feedback and guidance Create and lead training programs for Customer Support Advocates across our Ecommerce, Enterprise, and Escalation Center teams on technical skill-building and soft skills such as upselling techniques, contact handling when dealing with difficult customers, business acumen, troubleshooting, chat, and phone-based customer support Create and lead specialized training programs as needed with flexibility and adaptability to deliver some courses in various time zones Collaborate with the product team, Customer Support leadership, and senior Customer Support Advocates to develop and implement training for new product launches, features, and functionality Report on training feedback and results, contributing to monthly data reviews and global updates Assist in the maintenance of existing courseware and materials Assist in the maintenance of the internal knowledge base Research and present new technologies and methodologies in workplace learning WHAT YOU’LL NEED: 3-5 years experience (or equivalent combination of education and experience) in course design, course facilitation/instruction, or e-learning design/delivery Experience coordinating and delivering webinars, in-person training, and other virtual training Ability to create en

gitagileai
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E
Elastic
📍 South Africa
3mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role Elastic, the Search Analytics company, is seeking a dynamic Enterprise Account Executive. To excel as an Account Executive at Elastic, you need a blend of high-level technical curiosity and the gravitas of a value-based seller. Because Elastic isn't just a "product" but a versatile search, observability, and security platform, the role requires moving beyond simple transactions to solving complex data problems. We are seeking an Enterprise Account Executive working a set of new and existing customers . In this role, you will own the full sales cycle—from cold outreach to close—focused entirely on acquiring new logos in an assigned territory. If you excel at navigating new organizations and demonstrating the value of advanced search technology to stakeholders, this is your opportunity to drive our next phase of growth. What You Will Be Doing Drive Adoption: Fuel the adoption of Elastic’s AI-powered search solutions, Observability and Security solutions within new enterprise accounts while deepening engagement with existing ones. Be a Trusted Advisor: Assist users and customers in harnessing the full power of search analytics to transform data into actionable insights. Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data arch

aiExcelCRM
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DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. Senior Product Manager, Observability & Data Quality As a Senior Product Manager, for Observability & Data Quality, at DataHub, you will work cross-functionally to help guide products from ideation to launch by connecting the technical needs of users and the business needs of our company. You will help define the vision, goals, and strategy we pursue in concert with engineers, designers, sales, and partners that move the practice of analytics engineering forward. We are pursuing an ambitious AI strategy, focused on building a unified Context Platform that solves context fragmentation, maintenance, validation, and accessibility challenges. In this role, you can expect to: Define the vision, goals, strategy, tactics, and roadmap for our suite of products Study, research, and understand the data ecosystem, with a specific focus on user requirements, market potential, and competitive landscape Serve as the accountable owner for delivering measurable business and customer outcomes; working closely with designers to create intuitive, elegant user experiences for technical and non-technical personas Create tight feedback loops with customers who are depending on DataHub to run their data environments so that the product evolves toward the needs of these stakeh

aiPower BI
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Z
3mo ago

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? Lead and enable successful program delivery through active engagement, collaboration, and accountability. This includes: Driving delivery excellence across teams by fostering a hands-on, solution-oriented culture. Acting as a bridge between technical and business stakeholders, ensuring alignment on goals, outcomes, and timelines. Championing the customer experience by anticipating challenges, resolving issues proactively, and ensuring smooth execution through all phases of delivery. Strengthening internal capability by mentoring and coaching team members, building shared understanding of our delivery model, and embedding best practices. Reinforcing Zafin’s commitment to partnership - with customers, internal teams, and ecosystem stakeholders - through collaboration, transparency, and technical credibility. Promoting continuous improvement in how we plan, communicate, and execute, at every stage What will you do? Program Leadership & Delivery Lead cross-functional teams (internal and customer) in end-to-end deliver

artificial intelligenceairecruitment
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F
Freddiemac
📍 United States• Full-time• $149K – $223K/yr
3mo ago

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Are you seeking a challenging environment to grow your career and work with modern technologies that drive enterprise innovation? The Freddie Mac Single Family Acquisitions PDM Platform Team is seeking a Full Stack Software Engineering Technical Lead, focusing on the design and delivery of a CI/CD platform. Our Impact: Enable business innovation to deliver software faster and more efficiently via predictive methodology, automated impact assessments, automated testing, automated cloud infrastructure provisioning, and automated deployment Your Impact: Design and develop the PDM Portal UI and services Develop advanced cloud infrastructure patterns using Terraform, Helm Charts, and/or CloudFormation as required Ensure solution architecture aligns with business objectives, roadmaps, and strategic solutions, as well as to Freddie Mac’s architecture principles and standards. Define and compare solutions to determine the optimal solutions for business needs. Design reference application architectures (e.g., microservices, event‑driven, serverless) and create architecture decision records (ADRs) to document trade‑offs and standards for platform consumers Build tooling and services (CLIs, automation scripts, service scaffolds, and lightweight APIs) that simplify infrastructure consumption and bootstrap app teams Develop templates for cloud infrastructure that application teams can consume, reducing the depth of IaC expertise required for safe automation Define and champ

pythonjavaangular
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Z
Zscaler
📍 Denver• Full-time• From $124K/yr
3mo ago

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Enterprise Applications Administrator to join our team. This is a hybrid role in San Jose, CA or Remote in Denver, CO, reporting to the Collaboration Solutions Manager in the IT Digital Employee Experience department. In this position, you will support and assist in driving the visionary innovation of Zscaler over the next decade, shaping the future of our technology across collaboration applications and the emerging AI space. You will work closely with support and executive support teams while leading a team to deliver cutting-edge services into both enterprise and FedRAMP environments. What you’ll do (Role Expectations) Develop and articulate the strategic vision for Google Workspace and MS365, aligning with organizational goals and industry best practices, while collaborating with our compliance team on FedRAMP compliance Lead the design, implementation, and optimization of Goog

awsgitagile
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