yoinka

CRM Manager

Expedia Group

Chicago, ILFull TimeMid
Sign in to applyVerified
Location
Chicago, IL
Employment
Full Time
Work model
On-Site
Level
Mid
Posted

Skills

AWSCI/CDJavaPythonSQLSalesforce

About this role

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. CRM Manager In this role, you will:  Consistently apply and sometimes enhance customer relationship management, customer data platform, and data integration capabilities, principles, and playbooks to solve complex business issues and opportunities. Operate largely independently and mentor more junior colleagues. Demonstrate a comprehensive understanding of customer data, audience segmentation, activation, and engagement use cases to support communication plans and strategies. Develop ability to define how to leverage customer data, audience insights, platform capabilities, and performance metrics to inform strategy and improve customer engagement. Play a key part in defining and supporting CRM data and customer engagement solutions across Expedia Group’s brands. Understand relevant complex software program(s) and platforms, including Salesforce Data Cloud and Salesforce Marketing Cloud. Demonstrate competence in technical skills to design, develop, test, optimize, and maintain CRM data pipelines, integrations, and related platform solutions using relevant technologies and platforms. Create clear, concise, and organized technical and operational materials, including reports, dashboards, presentations, runbooks, and documentation. Break down information into understandable messages and actionable steps that fit into the overall plan and strategy. Design, implement, and maintain Salesforce Data Cloud solutions, including data streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), Calculated Insights, Data Transforms, identity resolution rules, and audience segmentation logic to support accurate, scalable, and reliable customer data processing. Develop and maintain ETL/ELT processes, CRM data pipelines, and integrations that unify customer data and support segmentation, activation, and personalized customer engagement use cases. Apply understanding of SQL, data modeling, and SQL databases to support data integration, data analysis, validation, and troubleshooting activities. Use Python and Java for coding snippets, data processing, validation, integration, and data orchestration support. Apply AWS, cloud platform capabilities, and DevOps or CI/CD practices to support data processing, deployment, release, and operational activities across test and production environments. Establish working relationships with business, marketing, data engineering, and cross-functional technical stakeholders and gain stakeholder trust by effectively addressing their concerns to further long-term interests. Help colleagues and stakeholders explore and understand broader business challenges, customer data needs, upstream and downstream data dependencies, and platform opportunities. Use understanding of current business processes, objectives, and challenges to suggest technical solutions and improvements. Support technical design discussions, implementation activities, testing strategies, and solution delivery for CRM and customer data platform initiatives. Compile updates, present progress, and contribute to broader engineering and stakeholder discussions. Identify methods for collecting data, perform data analyses, and articulate findings. Measure and assess data quality, platform performance, operational

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