Senior Specialist, Product Manager, Analytics
Arlington, Virginia
Mastercard
Wir verbinden und fördern eine integrative, digitale Wirtschaft, von der Menschen, Unternehmen und Regierungen weltweit profitieren, indem wir Transaktionen sicher, einfach und zugänglich machen.Our Purpose
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Senior Specialist, Product Manager, AnalyticsOverviewThe Services team is a key differentiator for Mastercard, providing cutting-edge products and services that help our customers. Focused on thinking big and scaling quickly around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base including issuers, acquirers, and merchants. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business experimentation (Test & Learn), and data-driven information and risk management services.
Test & Learn
As a member of the Test & Learn Product Management team, you will build industry-leading experimentation software which brings sophisticated analytic techniques to businesses and users around the world. We are rapidly building new products, improving existing products, and expanding the ways we deliver Test & Learn to our clients. We are looking for innovators who can execute and evolve our product strategy, tackling the big challenges of the future. This role will focus on product research and development; pushing the boundaries for our analytics by finding ways to apply new data science methods to top business challenges and translating it into novel products, and scalable commercial solutions.
Position Responsibilities
• Drive the development of new functionality within an analytics platform used by the world's largest organizations to make critical, multi-million-dollar decisions.
• Conduct market research and competitive analysis to identify trends, customer demands, and opportunities to be solved by analytic solutions.
• Develop an inspiring product strategy by deeply understanding customer needs, market opportunities, and technical feasibility.
• Translate this deep understanding of our users into specific products and features, leveraging user research, market research, sales and marketing knowledge, and usage data to inform decisions.
• Work hand-in-hand with cross-functional product teams to bring ideas to life, from problem identification to solution design, requirements development, testing, deployment, and performance measurement.
• Collaborate with leaders across the business unit to identify problems and drive innovative solutions.
• Act as a product evangelist, partnering with the sales team to deeply understand customer needs and effectively communicate the value proposition of the analytics
• Plan and execute product launch, rollout, and scaling through developing comprehensive go-to-market strategies as the end-to-end product owner.
All About You
• 3-5 years working in product management, data science, analytics, technology, and/or economics
• Strong technical aptitude and ability to understand complex technical concepts, coupled with strong business acumen to identify applications of technology to solve commercial questions
• Experience applying cutting-edge analytics to high volume datasets to influence business decisions
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
• Exceptional project management and problem solving ability, with a focus on setting ambitious and achievable goals, managing timelines across multiple workstreams, and prioritizing risk/benefit tradeoffs.
• Passion for delivering high-quality products that meet customer needs and drive business success.
• Enthusiastic about opportunities to collaborate with and mentor teammates to foster a supportive and growth-oriented team culture.
• Technical proficiency with SQL, R, Python, Hadoop, Spark, Databricks, BigQuery or similar data processing technologies
• Familiarity with data science concepts, machine learning algorithms and techniques, and software development approaches
• Degree(s) in statistics, mathematics, computer science, engineering, or similar area preferred
#AI3Mastercard is an inclusive equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile BigQuery Computer Science Consulting Databricks Economics Engineering Hadoop Machine Learning Market research Mathematics Python R Research Security Spark SQL Statistics Testing
Perks/benefits: 401(k) matching Career development Competitive pay Fitness / gym Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Salary bonus Startup environment Team events
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