Job Description

Are you excited about designing and scaling customer data platforms that power meaningful business outcomes?

Do you enjoy working across teams to turn complex data into trusted, actionable insight?

About the Business
LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com1

About our Team
The MarTech-Marketing Automation team is a dynamic team that manages several SaaS based solutions as part of the Marketing Technology stack for LNRS Data Services.

About the Role
This role focuses on designing, building, and operating scalable customer data solutions using Oracle Unity CDP. You will work closely with engineering, data, and business stakeholders to enable high‑quality Customer 360 profiles, segmentation, and activation across the enterprise. The role emphasizes clear architecture, reliable data pipelines, and strong governance to support trusted decision‑making.

Responsibilities

• Design and architect scalable customer data solutions using Oracle Unity CDP, aligned with enterprise data architecture and business objectives.
• Build and integrate data pipelines to ingest, transform, unify, and synchronize customer data from multiple internal and external sources.
• Define, implement, and maintain data models supporting Customer 360 profiles, segmentation, and activation use cases, with strong data quality controls.
• Lead and contribute to technical design, data modeling, and architecture workshops with engineering and business stakeholders.
• Integrate Oracle Unity CDP with the enterprise data lake and related platforms, ensuring consistency and governance.
• Monitor, optimize, and support ETL processes and CDP operations, resolving data quality, performance, and integration issues.
• Communicate technical concepts, trade‑offs, and recommendations clearly to non‑technical stakeholders and executive audiences.
• Establish and maintain documentation, data governance, security standards, and compliance with privacy and regulatory requirements.

Requirements:

• Experience in software engineering, data engineering, or data architecture
• Proven experience as a lead engineer or senior individual contributor owning critical platforms or capabilities
• Hands-on experience designing and operating Customer Data Platforms, including Oracle Unity CDP
• Strong expertise in:
  • Data modeling and Customer 360 architectures
  • Data pipelines and ETL frameworks
  • SQL, Python, JSON
• Experience integrating CDPs with enterprise ecosystems (data lakes, CRM, marketing automation, analytics platforms)
• Experience working with cloud platforms (AWS, Azure, Snowflake, Databricks) and REST APIs
• Strong understanding of data governance, data quality frameworks, and data privacy regulations
• Demonstrated ability to lead technical discussions and influence cross-functional stakeholders
• Excellent problem-solving and communication skills

Preferred Qualifications

• Experience with Oracle Marketing ecosystem (Eloqua, Responsys, Unity Behavioral Intelligence)
• Experience supporting segmentation, personalization, and campaign orchestration use cases
• Experience with event-driven or near real-time data architectures
• Experience working in Agile, product-aligned delivery models
• Exposure to AI/ML-driven customer segmentation or personalization

Learn more about the LexisNexis Risk team and how we work here

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