Urwah Admin

Visa

<div>
 
 Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
 
 
 
 
 
 
 Job Description
 
 
 
 
 The Analyst will be a member of Visa&rsquo;s CEMEA Corporate Strategy team. The team shapes Visa&rsquo;s long-term strategy and solves enterprise-level questions and challenges, by partnering with executives and business leaders across Visa&rsquo;s organization. Recent initiatives have addressed such topics as go-to-market strategy, product strategy, and partnership/acquisition opportunities &ndash; many of which have been internationally focused. The team is also responsible for developing competitive intelligence and thought leadership on emerging trends in payments and technology.
 
 
 
 
 The position will be based at Visa&rsquo;s CEMEA headquarters in Dubai - preferred market experience from SSA Region. Specific Responsibilities Include:
 
 
 
 
 &middot; Independently lead and design part of a strategy that enables strong sustainable competitive advantage for Visa and generates tangible impact on Visa&rsquo;s performance
 
 
 
 
 &middot; Breakdown complex business problems, define a structured approach to addressing the component parts, independently formulate hypothesis and support project workstreams
 
 
 
 
 &middot; Drive deep quantitative and qualitative analytical insight bringing a fresh and differentiated perspective, and supporting proposed recommendations
 
 
 
 
 &middot; Drive thought leadership with creative, novel, disruptive, but highly practical and implementable solutions to the challenges faced by business owners
 
 
 
 
 &middot; Ensure strategies and execution programs developed drive tangible commercial impact, secure active stakeholder buy-in and provide a clear actionable path to implementation
 
 
 
 
 &middot; Develop frameworks that support the prioritization of strategic initiatives and evaluate investment opportunities for their strategic and financial value.
 
 
 
 
 &middot; Develop clear, simple and impactful executive level communications, with a strong ability to persuade and influence senior decision makers
 
 
 
 
 &middot; Demonstrate outstanding people skills including supporting colleagues and acting as a magnet for future top talent to the strategy team
 
 
 
 
 
 
 Qualifications
 
 
 
 
 Basic Qualifications (must-have)
 
 
 
 
 &middot; Bachelor&rsquo;s Degree
 
 
 
 
 &middot; 2 or more years of work experience in management consulting, corporate strategy, investment banking or equivalent
 
 
 
 
 &middot; Prior experience working and living in the Sub Saharan Africa region is a must
 
 
 
 
 
 
 Additional Information
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
</div>

Strategy Analyst (Sub Saharan Africa Markets Experience)

<div>Company Description 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
Progress starts with you. 
Job Description 
The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. The Predictive Fraud Intelligence (PFI) team develops core AI/ML products within the Visa Protect suite, empowering clients to detect and prevent fraud throughout the payment lifecycle. The MLOps and Data Engineering team designs and operates the platforms, pipelines, and tooling that enable the core product teams to build, deploy, and iterate on models quickly. This group provides the scalable data foundations, model&#8209;orchestration frameworks, and automated workflows required to keep fraud&#8209;detection models continuously updated against emerging fraud schemes and new attack vectors.
We&rsquo;re looking for candidates who are passionate about building high&#8209;performance data systems and who thrive on the challenge of working with petabyte&#8209;scale datasets. If you have experience designing efficient, resilient pipelines optimizing distributed data processing and enabling real&#8209;time insights from massive, complex data flows, we want to meet you. This role is an opportunity to apply deep data&#8209;engineering and MLOps expertise to a mission&#8209;critical domain&mdash;empowering fraud&#8209;detection models that protect the entire payment lifecycle.
This is a great opportunity to be part of a Data Engineering and MLOps team that is set out to scale and structure large scale data engineering and ML/AI that drives significant revenue for Visa. As a member of the Predictive Fraud Intelligence &ndash; MLOps team based out of Bangalore, your role will involve<ul><li>
Building and maintaining reliable data pipelines that deliver high&#8209;quality data across the product lifecycle &ndash; Product development to client support.</li><li>
Developing platforms that support rapid model experimentation, training, evaluation, versioning, and deployment.</li><li>
Creating automated monitoring systems for data drift, model performance, and operational health to ensure models stay accurate as fraud patterns evolve.</li><li>
Partnering closely with AI/ML researchers and product teams to reduce time from model concept to production.</li><li>
Ensuring compliance, security, and traceability across the full ML lifecycle to meet financial&#8209;industry standards.</li><li>
Providing self&#8209;service tooling and infrastructure that enables data scientists to iterate quickly while maintaining operational excellence.</li></ul>
You must be a hands-on expert able to navigate both data engineering and data science disciplines to build effective engineering solutions that support ML/AI models.
The position is based at Visa's offices in Bangalore, India.
What success looks like<ul><li>
You consistently design and deliver systems that scale to petabytes of data with high reliability, low latency, and efficient resource utilization.</li><li>
You provide the architectural direction for the platforms, influencing long&#8209;term technical strategy and raising the engineering bar across the organization.</li><li>
You proactively identify gaps in data quality, platform capabilities, and system resilience, and lead cross&#8209;team efforts to close them.</li><li>
You mentor engineers across multiple teams, shaping best practices in distributed systems, pipeline design, and machine&#8209;learning operations.</li></ul>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 
Qualifications 
<ul><li>
8+ yrs. work experience with a bachelor&rsquo;s degree or 6+ years of work experience with a Master's or Advanced Degree in an analytical field such as computer science, statistics, finance, economics, or relevant area. With relevant experience in handling big data on-premises as well as on cloud.</li><li>
Deep understanding of Hadoop ecosystem and associated technologies and good knowledge of cloud analytical solutions available.</li><li>
Strong expertise in designing and operating large&#8209;scale data pipelines (batch and streaming) that process terabytes to petabytes of data.</li><li>
Deep proficiency with distributed data&#8209;processing frameworks such as Spark, Flink, Beam, or similar.</li><li>
Solid command of data storage technologies (Delta Lake, Iceberg, Hive, BigQuery, Redshift, or equivalent).</li><li>
Working experience with cloud&#8209;based data&#8209;processing systems (AWS EMR, Dataproc, Glue, Dataflow, Snowflake, BigQuery, Redshift, Databricks or equivalent).</li><li>
Strong programming skills in Python, Scala, or Java, with a focus on building reliabe production systems.</li><li>
Hands&#8209;on experience with orchestration and workflow tools (Airflow, Dagster, equivalent).</li><li>
Proficiency in containerization and orchestration (Docker, Kubernetes).</li><li>
Experience implementing CI/CD pipelines for data and ML workloads.</li><li>
Understanding of data&#8209;quality frameworks, lineage, observability, and monitoring (Great Expectations, Deequ, Monte Carlo, Databand, or similar).</li><li>
Practical knowledge of cloud platforms (AWS, GCP, or Azure) and cloud&#8209;native data systems.</li><li>
Demonstrated ability to leverage AI and automation tools in day&#8209;to&#8209;day engineering workflows to increase efficiency and reduce operational overhead.</li><li>
Experience working in fraud detection, risk scoring, payments, or other high&#8209;integrity, compliance&#8209;heavy domains.</li><li>
Familiarity with feature&#8209;store design and operations (Feast, Tecton, or custom implementations).</li><li>
Exposure to real&#8209;time inference architectures and streaming&#8209;based model deployment.</li><li>
Experience with modern MLOps platforms and tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or equivalent).</li><li>
Experience optimizing cost efficiency at scale (storage formats, compute tuning, autoscaling, caching strategies).</li><li>
Ability to influence architecture across multiple teams and drive long&#8209;term platform strategy.</li><li>
Strong communication skills for partnering with data scientists, product leaders, and engineering leadership.</li><li>
Experience mentoring senior engineers and shaping engineering culture.</li><li>
Understanding of and interest in Generative AI, large language models, and how they apply to data engineering, MLOps, and developer productivity.</li><li>
Strong experience in end-to-end analytics on any public cloud (preferably AWS)</li></ul> 

Additional Information 
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Staff Data Engineer

<div>Company Description 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
Progress starts with you. 
Job Description 
Visa Consulting and Analytics (VCA) drives tangible, impactful and financial results for Visa&rsquo;s network clients, including both financial services and merchants. Drawing on our expertise in strategy consulting, data analytics, brand management, marketing, operational and macroeconomics, Visa Consulting and Analytics solves the most strategic problems for our clients.
The US Consulting Practice within Visa Consulting &amp; Analytics provides consulting and solution services for Visa&rsquo;s largest issuers and merchants in the United States. We apply deep expertise in the payments industry to provide solutions to assist clients with their key business priorities, drive growth and improve profitability. The VC&amp;A team provides a comprehensive range of consulting services to deliver solutions that address unique challenges in areas such as improving profitability, strategic growth, customer experience, digital payments and managing risk.
You will join our consulting team and play a role in planning, selling, delivering and implementing high impact projects and solutions with merchant and co-brand partners. This person will develop initiatives to promote balanced and profitable growth, thereby ensuring that Visa is both, the preferred brand and unique business partner.
Potential engagements could include product development, program launch, customer acquisition, customer life cycle optimization, retention improvement, benchmark analysis, profitability improvement.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. 
Qualifications 
Basic Qualifications<ul><li>
8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD</li></ul> 

Preferred Qualifications<ul><li>
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD</li><li>
Prior experience at large management consulting firm or a strategy or program role (e.g., loyalty, co-brand) at a merchant</li><li>
Experience using financial indicators to measure business performance with a significant focus on impacting return on investment</li><li>
Strong analytical skills, with demonstrated intellectual and analytical difficulty</li><li>
Self-motivated, results oriented individual with the ability to handle numerous projects concurrently</li><li>
Outstanding communication, storytelling and facilitation skills</li><li>
Collaborative, diplomatic, and flexible, able to work effectively in matrixed organization.</li><li>
Technologically savvy, curious, up to date with digital trends and applications</li></ul> 

Additional Information 
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 130,600.00 to 189,650.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.</div>

Sr. Manager, Professional Services

<div>Company Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. 
Job Description 
The Senior Manager of AI Engineering &amp; Data Engineering will lead the design, development, and deployment of scalable AI/ML and data solutions that enhance the operational capabilities of Visa&rsquo;s Client Services organization. This role combines hands&#8209;on technical leadership with people management and is responsible for delivering high&#8209;impact AI systems, modern data pipelines, and analytical platforms that support service excellence at Visa.
This leader will oversee a team of AI engineers, machine learning engineers, and data engineers responsible for building production&#8209;grade AI models, optimizing data infrastructure, and delivering automation, intelligence, and insights across CS workflows. The ideal candidate brings deep experience in data engineering, practical AI implementation, and modern ML technologies, along with a strong ability to translate business needs into technical solutions.
Key Responsibilities
AI Engineering &amp; Applied Machine Learning<ul><li>
Architect, develop, and deploy production&#8209;ready AI/ML systems, including LLM&#8209;based solutions, NLP models, forecasting models, and classification systems.</li><li>
Build and maintain scalable model training, evaluation, and inference pipelines aligned with Visa&rsquo;s AI governance, security, and reliability standards.</li><li>
Implement retrieval&#8209;augmented generation (RAG), vector databases, prompt engineering, and other modern AI engineering techniques to drive automation and intelligence in Client Services.</li><li>
Ensure models meet operational requirements including accuracy, performance, fairness, uptime, and continuous monitoring.</li></ul>
Data Engineering &amp; Platform Development<ul><li>
Lead the development of robust, scalable data pipelines to support AI/ML, analytics, and operational reporting.</li><li>
Oversee data modeling, data quality frameworks, lineage tracking, and observability across critical Client Services datasets.</li><li>
Integrate structured and unstructured data sources into Visa&rsquo;s enterprise data ecosystem to enable AI solutions at scale.</li><li>
Partner with enterprise data teams to align on data governance, standards, and best practices.</li></ul>
Technical Leadership &amp; People Management<ul><li>
Manage and mentor a team of AI and data engineers, fostering strong engineering practices, code quality, and knowledge sharing.</li><li>
Perform architectural reviews, provide technical guidance, and enable the team to deliver high&#8209;quality, reliable solutions.</li><li>
Drive sprint planning, resource allocation, backlog prioritization, and delivery management for end&#8209;to&#8209;end AI and data initiatives.</li><li>
Build a culture of innovation, experimentation, accountability, and continuous improvement.</li></ul>
Business Partnering &amp; Cross&#8209;Functional Collaboration<ul><li>
Work closely with leaders across Client Services to identify opportunities where AI and data engineering can reduce operational friction and improve client outcomes.</li><li>
Communicate technical roadmaps, risks, dependencies, and impact to stakeholders and senior leadership.</li><li>
Collaborate with Product, Technology, and Enterprise AI partners to align on architectural strategies and shared platforms.</li><li>
Translate business requirements into actionable technical designs and measurable success metrics.</li></ul>
Operational Excellence<ul><li>
Ensure solutions follow Visa&rsquo;s compliance, privacy, and risk standards.</li><li>
Establish model and data reliability practices including automated testing, observability dashboards, monitoring, and alerting.</li><li>
Drive continuous optimization of performance, cost efficiency, and scalability of AI and data infrastructure.</li></ul>
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. 
Qualifications 
Basic Qualifications 
8&ndash;9+ years of experience in data engineering, AI engineering, or machine learning, with increasing technical and leadership responsibilities. 
3&ndash;4+ years of hands&#8209;on AI engineering experience, including building and deploying production AI/ML systems. 
Strong proficiency in: 
Python (core + ML ecosystem), SQL, and distributed data technologies. 
AI/ML frameworks such as TensorFlow, PyTorch, Scikit&#8209;learn, and LLM&#8209;related toolchains. 
Data engineering tools such as Spark, Airflow, Databricks or similar. 
Cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). 
Experience implementing MLOps practices using CI/CD, model monitoring, feature stores, experiment tracking, and automated deployment pipelines. 
Proven ability to lead teams and deliver complex, multi&#8209;stakeholder technology projects end&#8209;to&#8209;end. 
Demonstrated ability to work with ambiguity, influence without authority, and operate in a matrixed enterprise environment. 
 
Preferred Qualifications 
Experience with LLMs, RAG architectures, embeddings, vector search, and prompt engineering. 
Familiarity with enterprise&#8209;scale data security, privacy, and governance frameworks. 
Knowledge of operational workflows and data needs within client services, customer operations, or financial services. 
Bachelor's degree in computer science, Engineering, Data Science, or related field. 
Additional Information 
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</div>

Sr. Manager - AI and Data Engineering

<div>Company Description 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters &mdash; to you, to your community, and to the world.
Progress starts with you. 
Job Description 
We are seeking a Senior Counsel to join our Global Securities and Corporate Governance Team. This position will report to our VP, Corporate &amp; Assistant Secretary.
The Senior Counsel &amp; Assistant Secretary will be responsible for managing complex corporate governance and legal entity management matters, including incorporations, dissolutions, reorganizations, M&amp;A integration, and ongoing compliance with local legal requirements. This individual will oversee a team of paralegals responsible for global legal entity management, provide advice and counsel to the Company&rsquo;s senior leaders on corporate law and governance matters, monitor corporate governance best practices and regulatory and legislative developments, and provide proactive advice on compliance with applicable standards and updates to policies. The role requires significant and active collaboration with others in Legal, Risk, Tax, Treasury, Controllership, HR, and Compliance as well as other functions within the Company, based across the globe.
This is a hybrid position. Employees in hybrid roles are expected to work from the office 3 set days a week (determined by leadership/site). 
Qualifications<div> 
Basic Qualifications: 
<ul><li>10 or more years of work experience with a Bachelor&rsquo;s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD</li></ul>
 
Preferred Qualifications: 
<ul><li>12 or more years of work experience with a Bachelor&rsquo;s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD</li><li>Juris Doctor degree with 10 or more years or experience as in-house or outside counsel advising on corporate governance, legal entity management, securities, or transactional work.</li><li>Admission to practice law in at least one U.S. jurisdiction.</li><li>Support Controllership, Treasury, Tax, HR, and other legal and cross-functional teams to execute and manage key corporate projects, restructurings, and transactions.</li><li>Ability to build and maintain strong collaborative relationships with business partners and push projects to completion.</li><li>Have good judgment and strong analytical skills combined with a practical approach to problem solving.</li><li>A high level of self-motivation, initiative, and ability to operate effectively as a collaborative team player across different functions, senior leaders, and external stakeholders.</li><li>Ability to be responsive and flexible in a fast-paced and challenging environment.</li><li>Ability to prioritize and manage multiple projects simultaneously.</li><li>Strong organizational skills and meticulous attention to details.</li><li>Excellent verbal and written communication skills.</li><li>International experience preferred, ideally with experience in complex cross jurisdictional projects, especially within a global/international company.</li></ul></div> 
Additional Information 
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 242,300.00 to 315,000.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.</div>

Sr. Counsel, Corporate Governance

<div>
 
 Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
 
 
 
 
 Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Contract Management
 
 
 
 <ul>
 <li>
 Partner with Global CoE to ensure AP-friendly contract templates are available and up to date.
 </li>
 <li>
 Collaborate on contract usage guides and monitor template, version changes.
 </li>
 <li>
 Coordinate with regional leads to ensure timely publication of contracts, adhering to standard naming conventions.
 </li>
 </ul>
 
 2. PAS Reporting Framework
 
 
 
 <ul>
 <li>
 Work with AP Sourcing Partners to ensure compliance with project/contract naming conventions and language accuracy.
 </li>
 <li>
 Review PAS audit results and collaborate on remediation plans.
 </li>
 </ul>
 
 3. Data Analytics and Reporting
 
 
 
 <ul>
 <li>
 Develop and maintain AP reporting dashboards and scorecards.
 </li>
 <li>
 Extract and analyze data from multiple sources to support metrics and KPIs (e.g., sourcing project creation, PWR fulfillment).
 </li>
 <li>
 Drive continuous improvement in reporting processes.
 </li>
 </ul>
 
 4. Systems Management
 
 
 
 <ul>
 <li>
 Support Ariba systems integration, UAT, and new functionality rollouts.
 </li>
 <li>
 Assist with onboarding, system access, and troubleshooting for new hires.
 </li>
 <li>
 Integrate sourcing, procurement tools and processes (e.g., ZIP, SLP).
 </li>
 <li>
 Maintain Ariba buying channels and catalogs.
 </li>
 </ul>
 
 5. Ariba RFX
 
 
 
 <ul>
 <li>
 Conduct RFx events via Ariba, providing administrative and checklist support.
 </li>
 </ul>
 
 6. Supplier Management, Tiering, Quarterly Reviews
 
 
 
 <ul>
 <li>
 Partner with Category Leads to update Preferred Supplier Listings (PSL) and maintain SWOQL listings.
 </li>
 <li>
 Monitor supplier performance and manage watch lists for key strategic suppliers.
 </li>
 </ul>
 
 7. Supplier Diversity and Responsible Sourcing
 
 
 
 <ul>
 <li>
 Support initiatives to drive spend toward diverse suppliers.
 </li>
 <li>
 Identify regional opportunities and set diversity criteria and goals.
 </li>
 </ul>
 
 8. Communications, Training, and Knowledge Management
 
 
 
 <ul>
 <li>
 Deliver sourcing training and guidance to partners.
 </li>
 <li>
 Establish and refresh quarterly Source-to-Pay training calendars and materials.
 </li>
 </ul>
 
 9. TLMP Regular Interlock
 
 
 
 <ul>
 <li>
 Organize regular meetings with TLMP for VSM reviews and updates.
 </li>
 <li>
 Conduct refresher training and quarterly risk bypass accuracy reviews.
 </li>
 </ul>
 
 10. CCM, Audit Central Coordination
 
 
 
 <ul>
 <li>
 Serve as focal point for audit documentation and response consolidation.
 </li>
 <li>
 Review ATF, Exception logs and provide guidance to sourcing partners.
 </li>
 </ul>
 
 11. Operational Touchpoint with Controllership, Ops Support
 
 
 
 <ul>
 <li>
 Support sourcing partners in resolving operational issues with Controllership, Ops Support.
 </li>
 </ul>
 
 12. Mergers and Acquisition
 
 
 
 <ul>
 <li>
 Support integration of newly acquired entities, including supplier data analysis and S2P training.
 </li>
 </ul>
 
 13. Other Ad-hoc Projects
 
 
 
 <ul>
 <li>
 Support VPS projects and client collaboration on supplier adoption of payment solutions.
 </li>
 </ul>
 
 14. Ariba Approvals
 
 
 
 <ul>
 <li>
 Approve Purchasing User access for ASPAC.
 </li>
 </ul>
 
 15. Wet Ink Contract Management
 
 
 
 <ul>
 <li>
 File and manage wet ink contracts.
 </li>
 </ul>
 
 This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 Bachelor&rsquo;s degree in Business, Supply Chain, or related field.
 
 
 3+ years&rsquo; experience in procurement, sourcing, or supply chain operations.
 
 
 Strong analytical and reporting skills, proficiency in Excel and data visualization tools.
 
 
 Experience with Ariba or similar procurement systems preferred.
 
 
 Excellent communication and stakeholder management skills.
 
 
 Detail-oriented, organized, and proactive in problem-solving.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
 
 
 
</div>

Sourcing Analyst

<div>Company Description 
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Visa&rsquo;s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world&rsquo;s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you&rsquo;ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. 
Job Description 
The Opportunity:
We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.
The Work itself:<ul><li>
Design code and systems that touch 40% of the world population while influencing Visa&rsquo;s internal standards for scalability, security, and reusability</li><li>
Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings</li><li>
Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads</li><li>
Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions.</li><li>
Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology</li><li>
Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities</li></ul> 
Essential Functions:<ul><li>
Supports relationship with product owners to gather and refine requirements for one product task, adding and taking into account existing tools and solutions within a product.</li><li>
Begins to develop and design architect solutions, considering integrations with other solutions.</li><li>
Provides relevant knowledge on the development of user documentation of solutions and follows standard processes in user documentation.</li><li>
Plays a minor role in the development and delivery of new features within a product.</li></ul> 
The Skills You Bring:<ul><li>
Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale</li><li>
Challenge the Status Quo: Comfort in pushing the boundaries, &ldquo;hacking&rdquo; beyond traditional solutions</li><li>
Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++)</li><li>
Builder: Experience building and deploying modern services and web applications with quality and scalability</li><li>
Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.</li><li>
Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams</li></ul> 
**We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn&rsquo;t work with payments technology or web applications before joining Visa
**Visa does not support immigration for this role.
**Visa is not offering relocation assistance for this role. 
Qualifications 
Basic Qualifications<ul><li>
Bachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field. OR</li><li>
Minimum three (3) years of directly related experience.</li></ul> 
Preferred Qualifications<ul><li>
Knowledge of and ability to develop front-end code (e.g. HTML, CSS, and JavaScript) in support of package and product development. This includes the extension of capabilities of packages and products.</li><li>
The ability to select the &quot;best available&quot; values of some objective function to improve the functional effectiveness of web browsers.</li><li>
Knowledge of user interface design, which is the interaction where users and computers interact. This includes an understanding of how to provide an optimal industrial design experience through User Interface (UI) Design.</li><li>
Knowledge of and ability to develop back-end (e.g. Python, Java, C++, PHP) code in support of package and product development. This includes the extension of capabilities of packages and products.</li><li>
The ability to develop and use Application Program Interfaces (APIs), a set of routines, protocols, and tools for building software applications that specify how software components should interact and are used when programming graphical user interface (GUI) components. An API may be for a web-based system, operating system, database system, computer hardware, or software library.</li><li>
Knowledge of and the ability to use database software (e.g., applications, web-based applications, information systems) to maintain, modify, and output data.</li><li>
Knowledge of systems integration process in which separately produced components or subsystems are combined and problems in their interactions are addressed.</li><li>
Knowledge of data structures, which consist of data organization, management, and storage formats that enable efficient access and modifications. This includes a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.</li></ul> 

Additional Information 
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $84,600 USD to $119, 650 per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.</div>

Software Engineer

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