Senior Manager, Data Use Review

at  visa

Warszawa, mazowieckie, Poland -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate26 Sep, 2024Not Specified27 Jun, 20242 year(s) or aboveSql,Hadoop,Data Analysis,Mathematics,Soft Skills,Data Science,Deliverables,Data Privacy,Statistics,Python,Tableau,Business Acumen,Ownership,Data GovernanceNoNo
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Description:

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
With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.
Led by Visa’s first Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.

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

  • Relevant work experience in data science, data governance, data privacy or other similar roles, preferably in payments-related company: at least 6 years with Bachelor’s degree or 4 years with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 2 years with a PhD
  • 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
  • Solid understanding of payment network data and processes
  • Hands-on experience with AI tools
  • Advanced level of English language skills (oral and written)
  • Familiarity with key legislation principles (i.e., GDPR, CCPA) is a plu

Business and technical skills

  • Strong problem-solving skills, with demonstrated intellectual rigor
  • Capable to effectively engage in proactive communication and foster relationships with key stakeholders to align Data Policy objectives with broader organizational 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 organization
  • Solid written, verbal, and presentation communications skills appropriate for a wide, global audience. Capable of summarizing complex issues into succinct messaging
  • Strong business acumen and understanding of Visa and Client business models
  • High attention to detail and qualit

Soft Skills

  • 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

Responsibilities:

The Data Use Review Sr Manager will contribute to Data Policy efforts in fortifying Responsible Data Use at Visa. The successful candidate will play a key role in Visa’s Data Policy team by supporting the Data Use Case Assessment (DUCA) process by performing reviews and validating compliance with the Data Use Policy.
The Data 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 Use Case Assessment process is a key enabler for the business and the primary responsibility for this role. The Data Use Review Sr Manager will also be involved in the execution of a wide spectrum of initiatives driving the implementation of Visa’s Responsible Data Use framework, including organizational change management.

The Data Use Review Sr Manager 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 operationalize 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 Use Case Assessment reviews by examining incoming Data Use requests and risk evaluating them against existing Data Use policies and rules.
  • Prepare documents assessments of Data 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 organization 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 socialization of Data 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 DUCA process and Policy guidance.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications:
8+ years of relevant work experience with a Bachelor’s 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, OR 11+ years of relevant work experience.
Preferred Qualifications:

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

  • Relevant work experience in data science, data governance, data privacy or other similar roles, preferably in payments-related company: at least 6 years with Bachelor’s degree or 4 years with an Advanced Degree (e.g., Masters, MBA, JD, MD) or 2 years with a PhD
  • 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
  • Solid understanding of payment network data and processes
  • Hands-on experience with AI tools
  • Advanced level of English language skills (oral and written)
  • Familiarity with key legislation principles (i.e., GDPR, CCPA) is a plus

Business and technical skills

  • Strong problem-solving skills, with demonstrated intellectual rigor
  • Capable to effectively engage in proactive communication and foster relationships with key stakeholders to align Data Policy objectives with broader organizational 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 organization
  • Solid written, verbal, and presentation communications skills appropriate for a wide, global audience. Capable of summarizing complex issues into succinct messaging
  • Strong business acumen and understanding of Visa and Client business models
  • High attention to detail and quality

Soft Skills

  • 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


REQUIREMENT SUMMARY

Min:2.0Max:11.0 year(s)

Information Technology/IT

Analytics & Business Intelligence

Software Engineering

Graduate

Proficient

1

Warszawa, mazowieckie, Poland