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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience in a data engineering, data infrastructure, or data analytics role. Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript. Preferred qualifications: Experience with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments. Experience with data analysis, including statistics, and ML model development (data preparation, model selection, evaluation, tuning). Experience in scripting languages like Python for data manipulation, analysis, and automation. Ability to monitor, troubleshoot, and tune data systems and pipelines to improve efficiency. Ability to develop tools and systems to automate data processes, and increase overall efficiency, with proficiency in programming languages (e.g., SQL, Python), producing readable and well-structured code. Ability to deliver and maintain data projects from conception to production. About the job Google Play provides apps, games, and digital content services that bring Android devices to life. The Play Store serves over four billion users around the world, and is a critical driver of Google’s overall business growth. The Play Data Science and Analytics (DSA) team works on a variety of challenging data science projects to drive product and go-to-market decisions for Play. Our goal is to Power Play’s growth by building a deep understanding of our users and developers, enabling data-driven decision making, through insights, thought leadership, and unified data foundations.As a Data Engineer on the Play Data Science and Analytics team, you will take a significant role in designing and building the next generation of our data infrastructure. You will be responsible for architecting, implementing, and optimizing complex, scalable data pipelines, moving beyond basic development to own key components of our data warehouse. This role requires a technical expert who can manage massive datasets, write highly efficient SQL and Python code, and collaborate effectively with senior stakeholders and engineers. You will build innovative data foundations and AI-driven insights solutions while helping to define the standards and best practices that elevate the entire team, driving data quality and AI-readiness initiatives. Responsibilities Design, build, and maintain scalable data pipelines to ingest, process, and store data from various sources. Implement data quality checks and monitoring to ensure accuracy and integrity. Write complex SQL queries for data extraction and transformation to enable ad-hoc analysis and automated reporting. Conduct quantitative analysis to support business decisions. Develop and manage scalable data foundations and models specifically designed to support AI/ML initiatives and AI-driven insights. Develop, test, and deploy intelligent agents using Python and the Google ADK framework to automate tasks like data analysis and system orchestration. Partner with executive stakeholders and data scientists. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL). Strong understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling (MMM). Excellent communication and presentation skills with the ability to influence stakeholders. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Measurement is a cornerstone of performance advertising, driving the majority of Google Ads business growth. Accurate and unbiased measurement empowers bidding engines to maximize advertiser ROI, fostering growth for both advertisers and Google. The Product Analyst team applies advanced analytics to guide Google Ads strategy in this crucial area, ensuring that the advertising solutions effectively connect businesses with customers and deliver measurable results across the various ad platforms.Responsibilities Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators (KPIs) for Google Ads measurement products. Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development. Communicate complex data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners. Execute defined, moderately difficult analytical tasks under guidance from the manager or team member/team lead. For straightforward problems, execute end-to-end analysis with minimal guidance. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience programming in C++. 5 years of experience testing, and launching software products. 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 3 years of experience with software design and architecture. Experience with big data, data analytics, SQL, object-oriented analysis and design, and SQL pipelines. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google One (G1) is Google's membership for personal cloud storage and Google's cutting-edge AI features. G1 is one of Google's fastest growing subscriptions, with over 150 million subscribers. This is a unique opportunity to be part of a high-impact team, shaping the future of our subscriber experiences, premium features and business growth initiatives.Responsibilities Own the technical strategy and outcomes for the Analytics data platforms that power Google One (G1) and Google Photos. Navigate high levels of ambiguity to drive architectural decisions for multi-quarter initiatives that impact financial compliance, AI data strategy, and infrastructure scalability. Own the long-term technical strategy and outcomes for complex, multi-quarter data platform initiatives that support global consumer products and large-scale user bases. Clarify and make tractable large, ambiguous technical problems where high-level solutions are not yet defined, translating broad business needs into scalable architectural goals. Act as the primary architect for data ingestion from different internal products and privacy frameworks, ensuring secure and standardized data handling across major strategic partner surfaces. Identify, and resolve scaling bottlenecks by designing high-performance solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years of experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience in product analytics within payments, e-commerce, or financial services. Ability to take initiative in unstructured environments with a bias for action and sharp attention to detail. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. As a Product Data Scientist for FOP Optimization, you will shape Payments products and solutions, helping our leaders make data-driven decisions. You will lead a critical part of the payments routing infrastructure, Smart Router, that utilizes machine learning and AI to process first-party transactions across Play, YouTube, Ads, and more. You will drive analytics for the form of payment (FOP) optimization, building on success metrics, driving insights, and driving global launches. You will also play a critical role in our interactions on Business-to-Consumer (B2C) analytics with Play and YouTube to optimize buyflows, purchase readiness, conversion, and UI on these critical Google products.Responsibilities Play a critical role in shaping the future of Google Payments by leveraging data and analytics to drive decisions, influencing strategy, and creating business impact across the organization. Identify and solve ambiguous, high-stakes problems, transforming data into clear insights that directly influence leadership decisions (e.g., VPs and directors). Lead complex projects that combine analytical precision with organizational strategy, delivering clear insights that inform tangible business decisions. Contribute to the development and alignment of team objectives and key results and analytics strategy to ensure they support broader product and business goals across the Payments organization. Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision making. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with statistical analysis, modeling and inference. Preferred qualifications: PhD in a quantitative field. 10 years of experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. 5 years of leadership experience, including people management. Experience with Machine Learning (ML) on large datasets, with the ability to select the right statistical tools in a given data analysis problem. Understanding of potential outcomes framework and with causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators, with knowledge of structural econometric methods. Ability to set and drive technical strategy. About the jobAs a Technical Lead on Google’s Advertising Measurement team, you will apply scientific aptitude, excellence, precision, accuracy, expertise, thoroughness and statistical expertise to navigate the complex challenges of a global, privacy-preserving advertising ecosystem. Google is a pioneer in sustaining an open internet through a mutually-reinforcing cycle of ad-planning, optimization, and measurement; in this strategic leadership role, you will be the recognized authority driving that cycle forward. You will develop, organize, and launch large-scale projects spanning engineering and analysis across Search, Display, YouTube, and beyond. By translating advanced science specifically causal inference and quantitative methodologies into deployed products, you will lead the charge in defining paradigm-shifting measurement standards for the future of digital advertising. Working cross-functionally with Engineers, Product Managers, and Sales, you will adjust global strategies based on your findings, ensuring advertising remains useful for users and results-driven for publishers. We are seeking quantitatively trained experts with a passion for business strategy and a deep appreciation for consumer behavior. In this role, you won’t just improve products; you will empower an exceptional team to shape the marketing-technology industry globally. If you thrive in fluid, science-driven environments and are ready to leverage data and technology to solve modern advertising’s greatest challenges, your leadership will be the catalyst for the next era of innovation.Responsibilities Apply causal inference and differential privacy methods to design experiments, assess attribution, and develop privacy-preserving marketing products. Execute end-to-end analyses including data gathering, EDA, and model development to deliver strategic insights to executives. Build iterative analysis pipelines and prototype data structures to provide scalable insights across Google’s complex data ecosystems. Collaborate with Product and Engineering team to define and answer quantitative questions regarding incrementality, user behavior, and bidding optimization. Provide technical guidance and prioritization for the team, conduct cost-benefit analyses to drive high-level business decisions and product strategy. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in Salesforce platform architecture, Apex, Lightning Web Components and platform features. Experience designing and implementing AI agents, Generative AI, LLM-based applications and AI concepts and trends. Preferred qualifications: Experience with databases, including SQL coding across standard commercial databases (e.g., Oracle, Teradata, MS SQL Server, etc.) Strong general programming proficiency with experience in languages such as Apex, Java, JavaScript, or Python. Deep understanding of core computer science concepts, including system design, data structures, and application servers. Strong foundational knowledge of core architectural domains, including identity and access management (IAM), system integration, security architecture, large data management and DevOps practices. Demonstrated ability to build consensus across cross-functional teams, navigate complex stakeholder environments, and effectively influence strategic decision-making. Exceptional problem-solving skills, sharp investigative thinking, and impeccable business judgment. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. In this role, you will join the Technology team that builds modern tools, techniques, and methods to design and develop platform solutions across the business. You will lead development efforts to create technical solutions based on understanding of business requirements. Partnering with Product and Engineering teams, you will play a critical role in defining the technical strategy and shaping the future of applications across play commercial operations.The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products—from apps to TVs, from laptops to phones—that have an impact on people’s lives across the world.Responsibilities Lead the design, development, and deployment of applications and tools on the Salesforce platform, web applications, and AI initiatives across Go-to-Market (GTM) teams. Architect and implement generative AI features, LLM-based applications, and self-supporting agents to drive business automation and intelligence. Partner closely with senior product, engineering, sales, marketing and operations management to understand systems needs, and ensure systems strategy and development are integrated effectively into the business. Partner with Development teams to ensure that technical solutions align with overall architecture standards. Develop and run global projects end-to-end, including ownership to ensure successful planning, execution, analysis and communication of projects. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience. 5 years of customer-facing experience designing and deploying distributed data processing systems with one or more technologies. Experience with SQL data bases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL data bases (e.g., Mongo, Cassandra.). Experience with different types of data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses. Preferred qualifications: Certification in Cloud. 5 years of experience in managing technical client service. Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, JavaScript. Experience in devising migration approaches, and migrating on premise data processing systems to Cloud. Experience designing and deploying large-scale distributed data processing systems with one or more technologies: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy. Knowledge of building and operationalizing data pipelines. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will work with customers on critical projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while directing customer executives and technical stakeholders on project related decisions. You will serve as a liaison between our customers and product teams to drive product excellence and adoption. In addition, you will also work with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming a trusted advisor to decision makers throughout the engagement. Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Propose solution architectures and manage the deployment of cloud based databases, big data, and analytics solutions according to customer requirements and implement best practices. Travel up to 40% of the time for client engagements as needed. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, Math or related quantitative field, or equivalent practical experience. 6 years of experience in full-stack software development and system design. Experience with front end languages (e.g. JavaScript or TypeScript). Experience with backend languages (e.g. Java, Python, or C++). Experience working with database technologies (e.g. SQL, NoSQL). Preferred qualifications: 2 years of experience with Site Reliability Engineering, Information Security or DevOps practices. 2 years of experience as a Tech Lead or Engineering Manager. Knowledge of technical constraints designing for web technologies. About the job Technology and Insights Support Systems domain delivers technology to YouTube Support, optimizing the systems that empower our global support communities, ensuring seamless, delightful experiences for millions of users to increase the loyalty of our users.As a Web Solutions Engineer on the YouTube Business Technology team, you will be responsible for managing solutions that make the broader YouTube organization more efficient. Your efforts will launch quickly and have an immediate impact on those around you.You will be working as a part of an engineering team responsible for developing and supporting tools, prototyping proofs of concept, and writing/reviewing technical design documents to meet the needs of our services teams. You will adhere to Google’s software development best practices and work in close partnership with other project/product management and engineering teams. We are a team that provides efficient and delightful solutions for our support communities to increase the loyalty of the ecosystem of YouTube users. The team designs and develops a variety of tools and systems that are used by YouTube support agents, partners, and users.The Web Solution Engineers (WSEs) on the Support Systems team work across a number of different projects/products. Currently engineers will adjust the projects they are working on based on the need but are primarily focused on a full stack development including (listed in terms of headcount allocated):Web ApplicationBackend ServicesData PipelineAI/ML - use of LLM or model fine-tuningAt YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Design, build, deploy, and improve elegant, scalable, and modern full-stack web applications using standard and Google-specific software development tools. This may include ensuring reliable backends, building pipelines to aggregate data from multiple sources, implementing responsive and UX-rich front-ends, or enhancing performance of existing tools and services. Analyze problems and develop solutions, while identifying dependencies and resolving issues to drive implementation. Make technical contributions, including writing and reviewing design documents, tests, and code (e.g., JavaScript, Python, TypeScript, SQL). Provide subject-matter expertise and utilize comprehensive knowledge of Google's relevant technologies, principles, practices, and coding standards. Collaborate with cross-functional users and stakeholders to identify pain points and devise innovative technical solutions. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience

Minimum qualifications: Bachelor's degree in Engineering, Math, Quantitative Science, or a related technical field, or equivalent practical experience. 3 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role. 3 years of experience in statistical problem solving and analyzing data sets using SQL or comparable coding language (e.g., Python, R, Java, C++). Preferred qualifications: 4 years of experience in business intelligence, data analytics, or related, focusing on designing, developing, and maintaining self-service reporting tools tailored for procurement stakeholders. Experience using advanced SQL, Python (Pandas/Matplotlib) and data visualization and prototyping tools. Experience in developing high-fidelity wireframes or mock-ups to prototype and iterate on data visualizations and stakeholder narratives and experience defining requirements for conversational data interfaces using Natural Language Processing tools. Excellent problem-solving skills to support ongoing manual reporting activities, and the ability to perform data validation, quality checks, and verification processes. Familiarity with cloud data warehouse environments. About the jobGoogle's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations. In the Google Procurement Organization (GPO), our aim is to unlock the value for Google to reinvest in what matters most. We do this by bringing velocity, efficiency, and security to buying at Google, while partnering across Google to deliver solutions fit for purpose. As a centralized organization operating in a high complexity environment, we bring "one voice" to stakeholders and suppliers to ensure the best outcomes. Our organization fosters a culture of collaboration and innovation while providing opportunities for ongoing career growth and development.Within the Google Procurement Organization, the Digital Experience team is responsible for enabling and ensuring a consistent approach across the entire GPO through data insights and agile simple processes and technology, and focuses on developing GPO's processes, technology landscape and data architecture to create efficient, user-friendly, and integrated processes and systems that enhance GPO's capabilities, streamline operations, improve user experiences, and drive value for the organization.In this role, you will be responsible for supporting components of GPO's AI-first data ecosystem and its data reporting capabilities expanding beyond traditional analytics to empower stakeholders with high-quality insights, agentic intelligence and automated forensics that facilitate data-driven decision-making.Responsibilities Lead the functional design and development of prototypes for the next generation of intelligence hubs and 'Agentic' analytics platforms tailored for procurement stakeholders. Collect, aggregate, and analyze procurement-related data from various sources to create insights and visualizations. Conduct the analysis to identify key performance indicators (KPIs) and metrics relevant to procurement operations. Create specifications and develop proof-of-concept self-service tools that utilize NLP, enabling stakeholders to 'talk to their data' and retrieve real-time intelligence. Conduct rigorous quality assurance and testing of the 'Agentic' platform tailored for procurement stakeholders Support ongoing manual reporting activities by generating ad-hoc reports, and analyses as needed for specific operational requirements and ensure accuracy, completeness, and timely delivery of manually prepared reports. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Negotiable

No requirement for relevant working experience