Senior Analyst, U.S. Consumer Acquisition and Engagement (CAE), Program Management

Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Analyst, U.S. Consumer Acquisition and Engagement (CAE), Program Management Overview MasterCard CAE (Consumer Acquisition & Engagement) provides a wide range of loyalty, personalization and marketing services assets including the design, implementation and operations of cardholder loyalty programs. These solutions enable issuers to reward cardholders driving overall card usage, retention and brand preference. The U.S. CAE team is a highly collaborative organization, and this role will interface with various roles and disciplines within North American and global teams to serve our clients. Role • Develops and leads client loyalty programs which includes: program management, strategic planning, campaign & marketing plans, P&L forecasting and client relationship building • Strategically grows client business through identifying pain points and providing additional loyalty solutions and Services solutions • Represents Mastercard as the “One Voice” (primary contact). Lead resource at Mastercard to manage and oversee the customer’s Rewards and cardlinked Offers programs • Oversight on the operations including cross-functional team members • Primary contact and point of escalation for any issues • Provides thought leadership and strategic direction for partner • Manages and prioritizes product backlog in partnership with partner • Monitors, manages and reports on program KPIs and conducts QBRs with partner Role • Analyze data and deliver insights and recommendations to clients, program managers and account teams to improve cardholder performance and tenure in their loyalty programs • Provide loyalty industry subject matter expertise and thought leadership to position Mastercard Loyalty Solutions as a leader in the loyalty industry • Generate, analyze and present performance data in business reviews including performance to KPIs, benchmarking, spend performance/trends, program redemption performance/trends and program liability monitoring • Monitor, manage and report on program KPIs • Support and develop business reviews - regular client meetings to ensure consistent quality delivery of program performance and identifies new opportunities to drive retention. • Review and monitor merchant offer’s on centralized website to ensure accuracy. • Drive and maintain high customer satisfaction ratings that meet company standards • Model program liability and reserve forecasting for clients based on historical program performance data All About You • Bachelor’s degree or equivalent work experience • Payments and Loyalty experience preferred • Strong analytical thinker and problem solver • Strong proficiency with analytical tools including SAS, SQL, R and Excel • Demonstrated record of success in program performance analytics and strategic recommendations • Demonstrated ability to act independently and proactively • Excellent verbal, presentation, and written communication skills with ability to effectively communicate to many audiences, from technical resources to client senior management Nice to Have • Demonstrated ability to successfully manage and sell to a large client or cluster of clients • Excellent verbal, written and presentation skills along with solid project management credentials • Experience partnering with Financial Institutions • Proven track record in cross company, collaborative teaming at senior management levels • Be practical, creative, and innovative Mastercard is a merit-based, in ... (truncated, view full listing at source)