Note: The job is a remote job and is open to candidates in USA. Humana is a U.S. healthcare company providing insurance and healthcare services. The Lead Marketing Data Quality Engineer manages the testing and validation lifecycle for marketing data products, including defining validation scenarios, creating test plans, coordinating execution, and ensuring regulatory and quality standards are met. The role collaborates with product owners, engineering, analytics, and other stakeholders to resolve defects and improve data product performance.
Responsibilities
- Collaborate with product owners and data stewards to understand business user stories to ensure appropriate testing is taking place
- Write test cases and test steps in ADO, including both positive and negative test scenarios
- Coordinate with development team and scrum leader to ensure defined release scope and any changes are regularly communicated to stakeholders
- Create test plans in ADO for each release
- Make recommendations on testing priorities to meet release date commitments
- Coordinate with product owners as they develop and maintain strategic roadmaps to deliver operational and regulatory requirements, customer acquisition, member identification and profile management, and patient onboarding, engagement, retention, and satisfaction
- Write and modify SQL queries to support data validation, product performance analysis, and collaboration with analytics teams and downstream data consumers
- Serve as the primary liaison for Agile delivery teams, facilitating test planning, test case, test case execution, and test data creation
- Drive testing timelines ensure timely updates on progress, blockers, and delivery milestones
- Remove roadblocks to testing completion, including access requests, missing test data, missing data to support test scenarios, requirements clarifications, etc
- Validate requirements, accept completed work, and ensure deliverables meet defined acceptance criteria
- Partner with engineering, analytics, and enterprise stakeholders to deliver scalable, data-driven solutions that have been validated and are free of defects
- Work with upstream and downstream systems and vendors to ensure test data is provided for end-to-end validation
- Collaborate closely with Agile delivery teams to confirm that features are tested appropriately and quality standards are met before release
- Track usage, adoption, and performance metrics to identify areas for improvement and optimization
- Act as the first line of defense for operational issues related to Marketing Data Products
- Ensure consistency and accuracy in testing documentation and reporting systems to support transparency and accountability
- Ensure solutions comply with relevant regulatory and legal standards
- Create and maintain comprehensive documentation including product test plans, text cases, test steps, testing support requirements, testing execution, etc. to ensure quality data products are being delivered on time
Skills
- * **Bachelor's degree** in Business, Marketing, Computer Science, Data Analytics, or a related field. Or, 10 years of related experience without a degree
- * **8+ years of experience** in quality engineering, testing validation, quality assurance, or a related role within a **data-driven** environment
- * **2+ years of project / product / or testing** leadership experience
- * Proven experience working in **Agile frameworks** (e.g., Scrum, SAFe), including writing test cases, test planning, test data creation, test execution, and testing outcomes
- * Demonstrated ability to **prioritize testing around business strategies** and planned product delivery
- * Experience managing **test plans**, test coordination across teams, and tracking test outcomes to recommend improvements to reduce defects
- * Familiarity with **data platforms and analytics tools**
- * Excellent **communication and collaboration skills**, with the ability to work cross-functionally across engineering, analytics, and business teams
- * Strong **problem-solving skills** and ability to act as a first responder for operational issues
- * **Working knowledge of SQL**, with the ability to write and modify queries to support data validation, product performance analysis, and collaboration with analytics teams
- * **Assertive** and willing to take initiative to keep progress moving forward through relentless follow up
- * Must be passionate about contributing to an organization focused on **continuously improving consumer experiences**
- This position may require travel 1-2 times a year
- This position operates under Eastern Standard Time (EST) hours
- Only candidates with Citizenship or Lawful Permanent Residency in the U.S. will be considered
- Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
- * Experience with **Databricks**
- * **Master's degree** in a relevant field or MBA with a focus on marketing or technology
- * Strong understanding of **marketing data ecosystems**, including segmentation, targeting, and campaign measurement
- * Prior experience working with **enterprise-level marketing IT systems** and vendor-managed solutions
- * Knowledge of **customer lifecycle management** and growth strategies across acquisition, onboarding, engagement, and retention
- * Familiarity with **JIRA,** Confluence, **Azure Dev Ops**, or similar Agile project management tools
- * Experience in **modernizing legacy systems** or integrating upstream data sources into scalable platforms
- * Experience with data user story acceptance testing and post-production validation
- * Certification in **Agile Product Ownership** (e.g., CSPO, SAFe POPM) or related disciplines
- * Experience with healthcare data
Benefits
- This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
- Medical, dental and vision benefits
- 401(k) retirement savings plan
- Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
- Short-term and long-term disability
- Life insurance
Company Overview