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Visa Usa Inc Director, Sales Engineering - Analytics Solutions in New York, New York

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
Visa Consulting and Analytics (VCA)is the externally-facing strategy consulting group of Visa. We draw on our expertise in strategy consulting, data analytics, and pragmatic industry experience to develop fact-based recommendations to improve client performance. Our clients span the continuum of companies that participate in the payment card industry, to include financial institutions, merchants, fintechs, acquirers, and payment processors. VCA Managed Services is a suite of service offerings that together help drive the future growth of the organization, enabling our clients to implement the recommendations derived through strategic advisory engagements.

As the Director, Sales Engineering - Analytics Solutions, you will lead one of the core pillars of the VCA Managed Services offerings set. You will ideate, develop, and sell analytics services that leverage partner solutions, client data and capabilities, and the extraordinarily rich data sets that Visa derives from the more than 3 billion cards transacting on our network generating over 100 billion transactions each year. These services will accelerate client performance in marketing targeting, campaign measurement, and business strategy/opportunity identification. You will have a strong understanding of the insights and analytics competitive environment, leveraging that knowledge to position Visa more effectively and to identify/build partnerships for Visa. You are "a natural" in front of a range of client types and can use that skill set to tailor new and existing services to meet their needs. You are excited by the prospect of measuring your success through attainment of sales targets.
The successful candidate will be a seasoned data scientist and solution-seller who can partner across Visa client types. The role will identify common client needs, develop offerings that leverage Visa's extensive proprietary data sets and, as needed, third-party solutions, and price the solution appropriately. The role will collaborate with a host of internal partners to develop and sell solutions, to include account executives, data sciences, risk management, vendor management, and VCA advisory. This person will articulate the value proposition to clients, customize the offerings as needed to address client feedback, and ultimately close the sale. The team member will be able to flex across various client stakeholders, to include those in digital, data sciences, marketing, CRM, payments, and fraud/risk.

Responsibilities
Consultative Selling
Uncover client needs, challenges, and opportunities with respect to analytics and insights
Present solutions to clients that address their needs
Articulate the value and differentiation of the solution
Identify the client decision-making stakeholders and processes

Offering Development
Identify white space challenges and opportunities across client sets
Develop bespoke and scalable products leveraging Visa assets (e.g., data, data scientists, processes, models, etc.) and, as needed, third-party partner assets
Identify third-party partners who can complement and supplement solution sets
Define the value proposition and develop sales collateral
Develop product pricing strategy, ensure product profitability

Customer Centricity
Speak to technical and non-technical aspects of insights and analytics
Be comfortable working with data scientists across the spectrum of Visa clients, from institutional banking relationships to fintech startups

Industry Knowledge
Maintain deep understanding of competitive environment for insights solutions
Leverage that understanding to shape solutions that differentiate Visa

Communications
Demonstrate executive presence in leading conversations with clients
Communicate across functional stakeholders (for varying levels and technical expertise)
Incentivize cross-functional teamwork by aligning cross-functional incentives
Possess strong diplomacy skills and fosters goodwill between different groups
Coach teams

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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.QualificationsBASIC QUALIFICATIONS
\*10 or more years of work experience with a Bachelor'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
\*Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research or a related technical field

PREFERRED QUALIFICATIONS
\*12 or more years of work experience with a Bachelor'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
\*10+ years sales engineering experience with a leading data science solution provider
\*Experience applying data science to solve problems in the payments industry
\*Experience with modern distributed systems data analytics/programming tools
\*Expertise in the application of predictive modeling and machine learning techniques
\*Demonstrated ability to sell solutions
\*Previous experience in developing insights-driven solutions
\*Entrepreneurial mindset energized by the possibility of building a new business
\*Knowledge of the competitive environment across segments of the data science solution provider market
\*Collaborative approach with internal and external partners
\*Resilient in navigating through ambiguity and translating the theoretical to applicable
\*Growth mindset that embraces creativity, optimism, and failing-fastAdditional Information
Visa has adopted a COVID-19 vaccination policy to safeguard the health and well-being of our employees and visitors. As a condition of employment, all employees based in the U.S. are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 25% 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.

Visa is an Equal Opportunity Employer

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