Data Modeling Jobs in Delaware (NOW HIRING)

We are looking for a leader who is passionate about using data to accelerate CRM/Lifecycle and Digital Marketing strategy and execution, drive business growth, and improve the Chase customer experience.

As a Data Owner Lead, within the Card Marketing Team, you will ensure data is high quality, well-protected, and used appropriately and also be accountable for defining, governing, and strategically publishing CRM/Lifecycle and Digital Marketing data to the CCB Data Lake through curated datasets and data products that enable omnichannel marketing, Card customer journeys, audience population and management, journey orchestration, personalization, and measurement.

• Create and execute a strategic roadmap for the publication of CRM/Lifecycle and Digital Marketing data to the CCB Data Lake, ensuring datasets and data products are discoverable, reusable, and aligned to marketing strategy and campaign execution needs.
• Lead the definition and development of curated datasets and data products that power omnichannel marketing, including email, SMS, push, in-app, web/app personalization, and other digital channels, with a focus on the Card customer journey and partner with CRM/Lifecycle, Digital Marketing, Marketing Operations, Channel teams, and Analytics to translate business priorities (e.g., acquisition, onboarding, engagement, retention, cross-sell, servicing, win-back) into data requirements and delivery milestones.
• Own the business definitions, taxonomy, and metadata for marketing data (e.g., campaign, journey, trigger, offer, creative, channel, audience, event, exposure, conversion, suppression reason, preference/consent status), ensuring consistency across platforms and the data lake and enable audience population and management capabilities by partnering on requirements for identity resolution, eligibility, frequency, prioritization, suppression, and consent/preference controls to support compliant targeting and coordinated customer communications.
• Impact data modernization efforts by partnering with Technology to rationalize legacy feeds, migrate/modernize pipelines, improve timeliness (including near-real-time where needed), and standardize data models that support omnichannel activation and measurement and ensure high-quality data flows into and out of marketing platforms (e.g., CDP, CRM, ESP, web/app analytics and personalization), including event instrumentation and downstream reporting/analytics datasets in the CCB Data Lake.
• Document and enforce requirements for accuracy, completeness, timeliness, and consistency; coordinate monitoring, alerting, and remediation for critical marketing datasets and data products and support innovative use of data products by enabling experimentation and measurement (e.g., test/control, exposure, outcome data) to assess journey performance, channel engagement, and incrementality where applicable.
• Develop processes and procedures to identify, monitor, and mitigate data risks, including risks related to privacy, consent, data retention and destruction, data storage, data use, and data quality in compliance with Firmwide policies and standards and develop strong relationships with data delivery partners and data consumers across Marketing, Product, Technology, Analytics, Operations, Risk, and Control; influence resources to resolve issues and deliver outcomes and understand and mitigate risks, bottlenecks, and inefficiencies in the data product development lifecycle.
• Track and manage workstreams and associated KPIs (e.g., data quality, delivery timeliness, adoption, activation enablement, and business impact) to ensure deliveries are successful and manage direct or matrixed staff to execute specific marketing data-related tasks.

• 6+ years of industry experience in a data-related field, with demonstrated domain knowledge in CRM/Lifecycle and Digital Marketing; Bachelor’s degree required
• Experience defining and strategically publishing data to an enterprise data lake (e.g., CCB Data Lake) through curated datasets and reusable data products.
• Proven track record of delivering data modernization outcomes (e.g., legacy feed rationalization, pipeline modernization, model standardization, and improved timeliness/availability).
• Experience supporting omnichannel marketing and the end-to-end customer journey (preferably in Cards), including audience population/management and activation/measurement across channels.
• Strong working knowledge of data management, data engineering, data pipelines, data modeling, data architecture, and data governance.
• Familiarity with marketing technology and data ecosystems (e.g., CDP, CRM/ESP, web/app analytics and personalization, tag management, identity resolution, preference/consent management), and how data flows across them and knowledge of cloud platforms like AWS, Google, or Azure, and/or experience with big data technologies and warehouses (e.g., Spark, Alteryx, Snowflake).
• Demonstrated ability to manage delivery across multiple workstreams with varying timelines and dependencies and understand Agile development methodology and product operating models.

• Master’s degree preferred.