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The world's leader in digital payments technology Visa is looking for a Senior Director (Data Science).
The Senior Director Data Science role sits within Visa’s Consulting and Analytics organization, focusing on Russia and reporting into the VP of Data Science for CEMEA. Core responsibilities are focused on leveraging Data Science techniques and practices into Visa’s ongoing consulting engagements with clients, which include the issuers, acquirers, and merchants that comprise the Visa ecosystem. Additional capacity within the team is dedicated to internal functions, such as supporting the needs of the Visa Sales team, Finance, and Marketing on an as-needed basis.
The Senior Director leads the Data Science Team (up to 15 employees) and builds the Data Science Strategy for the Russia subregion. The role manages the day-to-day operations of the local Data Science team, taking line management responsibility for practitioners in the field, building rapport within Visa Consulting and across other operations, and leading the sub-regional Data Science strategy as defined by the VP of Data Science for CEMEA. The most significant daily effort is spent on preparing and executing deliverables for clients, working very closely with Consulting and country leadership to shape, execute and course-correct client engagements that involve Data Science work. In doing so, the Senior Director serves as a bridge, translating the technical practice of Data Science into the operational business realities of Visa’s clients. The role partners extensively across VCA and other functions (Business Development, Regional Solutions, etc.) and sits on the Russia Regional Leadership Team.
A critical measure of success is not only client satisfaction with end-deliverables from the Data Science team, but development of a robust pipeline of client work that ultimately advances and promotes Visa’s role and overarching business model within the region. Team health, technical skills development, and facilitation of strong working relationships across Visa’s operations are other key metrics that are reviewed on a regular basis.
In CEMEA, Data Science includes responsibility for all functions supporting the end-to-end delivery of modeling work for clients, and therefore incudes oversight of ancillary functions such as Data Modeling and Analysis, Data Engineering, and Consulting itself (preparation and delivery of slide decks and client presentations). While practioners within the Visa Data Science community are largely focused on algorithm development, the Senior Director of Data Science is responsible for leveraging vendors and other Visa teams to deliver the non-core components of comprehensive client delivery within projects under his/her management.
Familiarity with financial services operations (particularly in payments) and experience in consulting is required for the role. Technical requirements include hands-on experience with advanced analytics (predictive, classification and alternate algorithmic techniques for modeling and segmentation), prior responsibility for models running in production systems, and some machine learning and advanced AI capabilities. Understanding of a distributed computing architecture (Hadoop) is required. Experience in a sales-oriented role is a plus.
Visa's Data Science practice within CEMEA is fast-growing, dynamic, and collaborative. We are required to serve a variety of clients, from large, innovative, and challenging to small and immature. The team is a high-performing blend of advanced analytics professionals and machine learning specialists from a variety of countries, educational backgrounds, and experience. We are looking for a hands-on person who earns trust and respect of the team and the larger organization. The right person will be results-oriented while embracing strong principles of holistic leadership and people management.
Building and driving the Data Science strategy for Russia along with the country teams
Providing subject matter expertise in analytics techniques, including business problem definition, constructing an analytical framework, development and validation of said framework via best statistical methodologies and implementation
Leading the sub-regional Data Science team executing on multiple analytics projects and overseeing the development of analytical solutions and strategies, testing & monitoring frameworks, and the comprehensive deployment of said solutions
Enhancing existing analytic techniques by promoting new methodologies and best practices in the Data Science field; actively seeking out opportunities to innovate by using non-traditional data and new modeling techniques
Using open, clear communication to build partnerships with stakeholders in the Data Science & Consulting teams, including collaborating with the internal teams to fully understand business requirements and desired business outcomes
Actively engaging with clients
Providing thought leadership on using data to solve business problems and arriving at innovative statistical solutions
Ensuring quality assurance for team members’ deliverables, including project documentation
Training and educating employees on relevant controls and enforcing Visa’s policies on data privacy, data retention, data usage, and model risk management
Delivering all projects within established timelines and budget requirements
Strongly contributing to the development of the team’s analytical skills and business knowledge; designing the roadmap for team’s skillset enhancement
As a team lead, providing all aspects of guidance to other team members
10+ years of analytical experience in financial industries; prior team management experience preferred
Subject matter expert in analytics especially in areas of analytical methodologies. Strong understanding and prior experience in Machine Learning/AI is a must
Excellent communicator – should have the capability to translate numbers to business insights; prior experience in presenting or conducting analytics seminars or talks a big plus
Experienced in managing multiple projects and initiatives
Superior analytical and problem- solving skills, with demonstrated intellectual and analytical rigor
Must be team oriented, collaborative, diplomatic, and flexible, with excellent presentation skills, including strong oral and writing capabilities
Experienced in working across a matrixed organization; multi-regional experience preferred
Very strong project management skills and experience, preferably with a bottom-line orientation
Ability to evaluate algorithms for contextual suitability, performance, and operational impact
Excellent written English
Expert level PowerPoint
Experience and in-depth knowledge of the cards and payments business
Excellent client relationship and stakeholder management skills
Expert in presenting ideas and analysis to stakeholders and at leadership level
Experience in pushing new mandates for discussions and sign-offs with stakeholders
Very detailed oriented, is expected to ensure the highest level of quality/rigor in reports & data analysis
Global mindset, desire and demonstrated ability to work cross-culturally and in a matrixed organization
Ability to execute and solve problems independently
Proven skills in translating analytics output to actionable recommendations, and delivery
Multi-disciplinary thinking skills: creative, analytic, strategic.
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