Sr. Decision Analytics Manager

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

Job Summary

The Risk MIS team has a simple mission: to turn massive amounts of data into actionable insights that ensure seamless, secure commerce experiences across Visa’s physical and digital ecosystems. Our team of analytic and data professionals achieves this mission by implementing data-based solutions, analysis, and insights targeted at maintaining security, reducing fraud rates, and preserving the integrity of the world's largest payment processing network.

The Senior Manager in MIS & Platforms will be responsible for leading global analytics initiatives, utilizing their expertise in data management, analytics, and visualization to provide data-driven insights to stakeholders. This position is crucial in ensuring the security and success of the Visa brand. The role is a critical part of Visa's Risk organization and requires strong analytical and leadership skills, as well as contextual business knowledge and creativity to address real-world challenges for both Visa and its clients. The Senior Manager's expertise and insights will serve as a guide for data-driven business decisions. They will report directly to the Global Head of Risk MIS & Platforms and interact with senior leaders across the organization.

Responsibilities

•      Utilize expertise in data management, analytics, and visualization to identify and communicate emerging risks and trends to stakeholders. This includes leading the development of interactive and intuitive data visualizations and reports that communicate insights to stakeholders.

•      Perform in-depth analysis on global initiatives and various regional priorities to deliver insights. This involves comparing regional performance against industry best practices to identify performance improvement opportunities.

•      Collaborate with cross-functional teams to understand business requirements and ensure that solutions meet those needs. This includes working closely with stakeholders at all levels and communicating effectively with them.

•      Lead a team of engineers and architects to develop and implement scalable, secure, and visually appealing reporting that meet the organization's requirements. This includes ensuring data quality and consistency, managing data pipelines, implementing data governance policies.

•      Have experience with agile methodologies to ensure the effective management and delivery of BI and automation projects.

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:
• A minimum of 8 years of relevant work experience with a Bachelor’s Degree or a minimum of 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or at least 2 years of work experience with a PhD.

Preferred Qualifications:
• A bachelor's or master's degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or a related field. Some organizations may also require a Ph.D. in a related field.

• At least 8-10 years of experience in business intelligence, data analytics, or related fields, with a proven track record of managing successful AI/ML projects. This includes expertise in data modeling, data warehousing, data mining, ETL, and other data-related technologies, as well as programming languages such as Python, R, Hadoop, and SQL.

• Strong business acumen and understanding of how AI/ML can be applied to business problems. This includes experience in developing and executing data-driven strategies that deliver measurable business outcomes.

• Have experience with ML/AI. Proficient with Python to apply predictive/forecasting models to large datasets.

• Excellent communication skills, including the ability to commun