Manager of Technology- Data Delivery

Details

• Department: Data Delivery and Governance
• Schedule: Monday-Friday, 8am-5pm
• Location: Remote

Benefits

Paid time off (PTO)

Various health insurance options & wellness plans

Retirement benefits including employer match plans

Long-term & short-term disability

Employee assistance programs (EAP)

Parental leave & adoption assistance

Tuition reimbursement

Ways to give back to your community

Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance and salary range at the time of the offer.

Responsibilities

As a hands-on leader, you will establish data quality frameworks, define automation strategies, and lead a team of data QA professionals to ensure reliable and high-quality data for business insights and decision-making. The ideal candidate has strong expertise in data quality management, automation, and cloud-based data platforms (preferably Google Cloud Platform BigQuery). The leader will work closely with product and program directors to facilitate the growth of the data warehouse capabilities and strategy.

1. Data Quality Strategy & Leadership:
   • Define and execute a comprehensive data quality testing strategy for data products, data services, and integrations.
   • Establish best practices for data validation, reconciliation, and anomaly detection.
   • Develop data quality KPIs and metrics to measure and improve data reliability.
   • Lead and mentor a team of data testers and QA engineers to drive excellence in data testing.
2. End-to-End Data Testing & Automation:
   • Oversee functional, integration, regression, and performance testing of data pipelines and ETL processes.
   • Implement automated data validation frameworks using Python, SQL, and cloud-native tools.
   • Drive the integration of test automation into CI/CD/CT pipelines for continuous data quality assurance.
   • Define and enforce data testing standards across teams to ensure consistency and accuracy.
3. Performance Testing:
   • Conduct performance and scalability testing to ensure the efficiency of data pipelines and queries.
   • Collaborate with data engineers, architects, and DevOps teams to optimize data processing workflows.
4. Technical Oversight & Engineering Collaboration:
   • Should have hands-on experience in ETL development and data engineering workflows to partner closely with engineering teams during pipeline development and test driven development.
   • Provide technical leadership in testing cloud data migration projects, ensuring data accuracy, completeness, and integrity during source-to-target transitions.
   • Should have experience in reviewing ETL mappings, orchestration logic, and transformation rules, ensuring quality controls are embedded early in the lifecycle.
   • Collaborate with Data Engineers to implement data validation at scale, performance benchmarks, and reconciliation logic between source systems and the cloud warehouse.
5. Governance, Compliance & Issue Resolution:
   • Ensure compliance with regulatory and security standards (e.g., HIPAA, GDPR etc).
   • Work with Data Governance teams to establish and maintain data lineage, metadata validation, and data governance controls.
   • Manage and drive resolution of data quality issues, defects, and anomalies through proactive monitoring.
   • Act as a liaison between Product leaders, Delivery Leaders / Technical managers, End Users and QA Testers to ensure alignment on data quality goals.

Requirements

Education:

• High School diploma equivalency with 3 years of cumulative experience OR Associate'
  
  degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.
• 3 years of leadership or management experience preferred.

Additional Preferences

• 10+ years of experience in data quality testing, data engineering, data validation, data engineering QA, with at least 3+ years in a leadership role.
• Expertise in data warehouse, data lake, and ETL testing on cloud-based platforms (preferably Google Cloud Platform BigQuery).
  
  Strong proficiency in SQL and Python for data validation and automation.
• Experience with data testing frameworks.
  
  Proven track record of test automation, CI/CD integration, and performance testing.
• Defining Test Data requirements / Test Bed for large projects / programs.
• Strong analytical and problem-solving skills with the ability to debug complex data issues.
• Excellent leadership, communication, and stakeholder management skills.
• Data product Management experience as a Product Owner or a Product Manager to understand the overall data product Lifecycle.
• Experience in Technical leadership of Data warehousing projects that involved data migration from traditional to modern platforms / appliances.
• Experience in data platforms and compliance regulations (HIPAA, FHIR, HL7).
  
  Familiarity with data observability, metadata management, and governance tools (e.g., Collibra).
• Knowledge of Google Cloud Platform tools like BigQuery,Composer, Dataform, etc.

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Why Join Our Team

When you join Ascension, you join a team of over 134,000 individuals across the country committed to a Mission of serving others and providing compassionate, personalized care to all. Our inclusive culture, continuing education programs, career coaches and benefit offerings are just a few of the resources and tools that team members can use to create a rewarding career path. In fact, Ascension spent nearly $46 million in tuition assistance alone to support associate growth and development. If you are looking for a career where you can grow and make a difference in your community, we invite you to join our team today.

Equal Employment Opportunity Employer

Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws.

For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.

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Responsibilities

As a hands-on leader, you will establish data quality frameworks, define automation strategies, and lead a team of data QA professionals to ensure reliable and high-quality data for business insights and decision-making. The ideal candidate has strong expertise in data quality management, automation, and cloud-based data platforms (preferably Google Cloud Platform BigQuery). The leader will work closely with product and program directors to facilitate the growth of the data warehouse capabilities and strategy.

Data Quality Strategy & Leadership:

• Define and execute a comprehensive data quality testing strategy for data products, data services, and integrations.
• Establish best practices for data validation, reconciliation, and anomaly detection.
• Develop data quality KPIs and metrics to measure and improve data reliability.
• Lead and mentor a team of data testers and QA engineers to drive excellence in data testing.

End-to-End Data Testing & Automation:

• Oversee functional, integration, regression, and performance testing of data pipelines and ETL processes.
• Implement automated data validation frameworks using Python, SQL, and cloud-native tools.
• Drive the integration of test automation into CI/CD/CT pipelines for continuous data quality assurance.
• Define and enforce data testing standards across teams to ensure consistency and accuracy.

Performance Testing:

• Conduct performance and scalability testing to ensure the efficiency of data pipelines and queries.
• Collaborate with data engineers, architects, and DevOps teams to optimize data processing workflows.

Technical Oversight & Engineering Collaboration:

• Should have hands-on experience in ETL development and data engineering workflows to partner closely with engineering teams during pipeline development and test driven development.
• Provide technical leadership in testing cloud data migration projects, ensuring data accuracy, completeness, and integrity during source-to-target transitions.
• Should have experience in reviewing ETL mappings, orchestration logic, and transformation rules, ensuring quality controls are embedded early in the lifecycle.
• Collaborate with Data Engineers to implement data validation at scale, performance benchmarks, and reconciliation logic between source systems and the cloud warehouse.

Governance, Compliance & Issue Resolution:

• Ensure compliance with regulatory and security standards (e.g., HIPAA, GDPR etc).
• Work with Data Governance teams to establish and maintain data lineage, metadata validation, and data governance controls.
• Manage and drive resolution of data quality issues, defects, and anomalies through proactive monitoring.
• Act as a liaison between Product leaders, Delivery Leaders / Technical managers, End Users and QA Testers to ensure alignment on data quality goals.

Qualifications

Education:

• High School diploma equivalency with 3 years of cumulative experience OR Associate'
  
  degree/Bachelor's degree with 2 years of cumulative experience OR 7 years of applicable cumulative job specific experience required.
• 3 years of leadership or management experience preferred.