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Data & AI Use Review Analyst

Yesterday Warsaw, Poland

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 – 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 Global Data Office 

As artificial intelligence and data-driven technologies become increasingly central to Visa’s innovation agenda, the Global Data Office (GDO) is expanding its AI and Data Governance function to ensure responsible, compliant, and effective use of these capabilities across the enterprise. The Data & AI Use Review Analyst, will contribute to Data & AI Policy efforts in fortifying Responsible Data Use at Visa

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Primary responsibilities

The Analyst will contribute to Data & AI Policy efforts in fortifying Responsible Data Use at Visa. The successful candidate will play a key role in Visa’s Data & AI Policy & Governance Team by supporting the Visa Data Assess 360 (ViDA) process by performing reviews and validating compliance with the Data Use Policy.

The Data & AI Policy & Governance division aims to facilitate calculated and transparent risk-taking in the pursuit of Visa’s business growth, development, and pace of innovation.  Supporting and improving the Data & AI Use Case Assessment process is a key enabler for the business and the primary responsibility for this role. The Analyst will also be involved in the execution of a wide spectrum of initiatives driving the implementation of Visa’s Responsible Data Use framework, including organisational change management. 

The Analyst will work cross functionally, fostering effective collaboration with data users across multiple Visa teams including Product, Innovation, the Visa Consulting & Analytics team, various client-facing teams, such as Business Development and the Merchant Sales & Acquiring teams, regional hubs, and most extensively with other members of the Global Data Office and Global Privacy Office to operationalise data use guidelines across the enterprise.

 

  • Collaborate with Data Users and Data Stewards to attain sufficiently documented use case details to perform the Data Use Case Assessment review.
  • Conduct Data & AI Use Case Assessment reviews by examining incoming Data Use requests and risk evaluating them against existing Data & AI Use policies and rules.
  • Prepare documents assessments of Data & AI Use reviews, detailing the substance of the risks identified and facilitating reviews by additional Visa subject-matter experts as required. Synthesize feedback, interpret requirements, and document them accordingly.
  • Engage with subject-matter experts to acquire feedback on complex data use matters where available policy guidelines are insufficient.
  • Convey change management around the Data Use Policy interpretation by identifying gaps in existing guidelines and working with internal subject-matter experts to address them. Propose alternative ideas and coordinate the fact-base to drive discussion.
  • Contribute to workshops and projects on training of Visa staff on the Data Policy and Data values across the organisation as required, be ready to perform the actual training.
  • Contribute to content for the internal Global Data Office properties (website, SharePoint site, internal social media platform, etc.) and external Data @Visa pages.
  • Prepare materials as required to support the socialisation of Data & AI Use Policy development progress and DUCA feedback.
  • Participate in other ad-hoc Data Policy team projects as required by management.
  • Support Data Policy Change management efforts to ensure cross-pollination between Data & AI Use Review

This is a hybrid position. Expectation of days in our Warsaw office is Tuesday through to Thursday. 

Qualifications

  • Relevant work experience in data science, data governance, data privacy or other similar roles, preferably in payments-related company
  • Basic understanding of AI/ML technologies, particularly generative AI and LLMs and awareness of with ethical Data use and AI frameworks.
  • Proven proficiency in SQL, Hadoop, Python, PowerBI, Tableau or other data analysis and manipulation tools to execute on job responsibilities
  • Strong success track record of project and stakeholder management
  • Familiarity with key legislation principles (i.e., GDPR, CCPA) is a plus
  • Capable to effectively engage in proactive communication and foster relationships with key stakeholders to align Data Policy objectives with broader organisational goals
  • Ability to interpret complex internal documentation, such as policies, standards, procedures, or execution guidelines, and explain in a clear and concise language to business partners
  • Ability to engage effectively with legal teams, data users, and technology professionals
  • Capacity for out-of-the-box thinking to solve complex data-related problems and propose approaches that meet policy objectives
  • Sufficient skillset and knowledge to be able to exercise competency in mathematics and statistics in the practical application of Visa’s Data Use policies and guidelines, while driving effective communication about the risk assessment rationale to Data Use requestors across the organisation


Soft Skills

  • High attention to detail and quality
  • Strong problem-solving skills, with demonstrated intellectual rigor
  • Self-motivator, with the strong sense of ownership and responsibility for deliverables
  • Team-oriented, collaborative, diplomatic, and flexible, with proven ability to build strong working relationships with colleagues and work on complex issues within cross-functional teams
  • Highly adaptive, comfortable working within a complex, and often ambiguous, environment
  • Open-minded and willing to listen to ideas and opinions from others. Able to look for new solutions when current processes are deemed inadequate
  • Willing to offer support to team members in time-sensitive situations, ensuring the team’s success
  • A professional capacity for strong enthusiasm and focus on results
  • Appreciative to work in a multinational environment, respectful and mindful of cultural differences.

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.

Client-provided location(s): Warsaw, Poland
Job ID: e30d0d0e-6151-4e76-a5f8-9abc996be442
Employment Type: OTHER
Posted: 2025-07-21T09:16:44

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)