• Product Manager, Digital Banking

    Location US-CA-Palo Alto
    Job ID
    Position Type
  • Overview

    For more than 40 years, East West Bank has served as a pathway to success. With over 130 locations across the U.S. and Greater China, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities. And our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, high-tech and aviation help build sustainable businesses and expand our employees’ potential for career advancement.

    Headquartered in California, East West Bank (Nasdaq: EWBC) is a top performing commercial bank with an exclusive focus on the U.S. and Greater China markets. With assets of $37.7 billion, we’re ranked among the 30 largest banks in the United States and currently top 5 in “America’s 100 Best Banks” by Forbes, a list where we've consistently been in the top 15 since 2010. With a strong foundation, an enterprising spirit and a commitment to absolute integrity, East West Bank gives people the confidence to reach further.

    As East West Bank expands to meet the needs of a broader base of consumers, we’re focused on going deep to rethink every element of the Digital Banking experience specifically tailored to our customers that have social and economic ties in the two largest economies of the world – US and Chin. To that end, we are launching a new digital startup in the heart of Silicon Valley where the talent pools and ecosystem of partners are.  Our mission is to create a unique set of digital capabilities to revolutionize every day banking, targeting the needs of the globally connected citizens. 


    EWB is looking for a top Marketing Analytics Manager to join our founding team at the Digital Banking. You will be responsible for guiding EWB's marketing decisions by crunching large data sets, analyzing the results, and gaining insight. You will collect and analyze vast amounts of data on a daily basis to learn more and about our customers (existing and prospects), behaviors, marketing activities, advertisement effectiveness and much more. Through analyzing both internal and external data, you will be responsible for understanding the consumers, which in turn help guide our day-to-day marketing activities as well as the strategic direction of the Digital Banking. This is an excellent role for seasoned candidates with 6-10 years of relevant experience, who have a passion for data, understanding customers and building a new business/capability.


    • Understand EWB's consumers through both internal and external data analysis and help define how these findings should influence marketing and consumer insights efforts
    • Develop and execute strategies to understand and solve marketing problems: reach data driven customer insights through the discovery of patterns and trends, and test and evaluate various marketing mix models, and formulate and design data to monitor key metrics for marketers
    • Identify a new analytics team and collaborate with cross-functional teams to build and scale new marketing and analytics capabilities
    • Work closely with the Head of Data and Analytics, COO of the Digital Banking and various leaders across the Digital Banking to help build and scale a new analytics and marketing capability


    • 6-10 years of related experience in the field of analytics/marketing/consulting
    • Marketing domain expertise (3+ years): hands-on experience from tactical marketing analytics (e.g., marketing mix and attribution modeling, campaign performance analysis, ROI estimates, customer life time value modeling) and customer-oriented marketing analysis (segmentations, user survey, storytelling about consumers, brand positioning, etc.)
    • Strong technical competence to perform advanced analytics: Coding skills (such as Python, Java, C), experience performing analysis with large datasets, analytics tools experience (SPSS, R, excel, SQL, HIVE, hadoop), experience from 3rd party marketing tools (e.g., Adobe Marketing Cloud, Google Analytics, Mixpanel)
    • Proven experience with hands-on statistical modeling (e.g., regression modeling, A/B testing, significance testing etc), knowledge about machine learning (such as predictive modeling, decision trees, classification models, clustering techniques), knowledge about statistical research methods (such as conjoint survey models, segmentation survey methods, etc.)
    • Skilled at condensing analysis into actionable insights to inform business decisions within marketing, and influence /transform business performance; understand business models and high level strategy



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