Manager, Data Quality and Operations

As a Manager Data Quality and Operations focused on enterprise data solutions your primary responsibility will be to ensure the delivery of high-quality reliable and efficient data pipelines and operations across the organization. This is a senior technical leadership role accountable for the end-to-end data quality engineering and operational excellence of cloud-based data solutions. The ideal candidate will have hands-on experience in large-scale data pipeline management automated data quality assurance and production operations with a proven track record of leading cross-functional teams to drive key decisions and continuous improvement. The Manager Data Quality and Operations will partner closely with Data Engineering Platforms Analytics and Digital/AI/ML teams to define and implement best practices for data quality automated testing and operational support enabling trusted data activation across the enterprise.

• Location: Dominos World Resource Center; 30 Frank Lloyd Wright Dr Ann Arbor MI 48105 
• Shift: Fulltime; Salary
• Job Posting Salary: $140000-$155000 plus bonus
• Role: Hybrid (4 Days at Dominos Headquarters Ann Arbor) Friday remote 

GENERAL RESPONSIBILITIES

Lead Data Quality Engineering & Data QA

• Build quality in: Ensure data pipelines are engineered with quality-first principles and are functionally aligned to business and technical requirements.
• Design quality controls: Define implement and maintain automated QA checks for critical data assets with thresholds and SLA-aligned alerting and escalation.
•  Enterprise data quality framework: Establish best practices and measurable DQM standards (profiling validity completeness timeliness consistency accuracy) across domains.
• Test automation at scale: Drive in-sprint and regression automation for batch and streaming workloads; integrate tests into CI/CD to prevent regressions and accelerate release cycles.
• Coach and develop talent: Lead a pod of QA/Data Quality specialists; raise technical bar in SQL/Python test design and root-cause analysis.

Run Data Operations

• Own production SLAs: Monitor and support an extensive footprint of pipelines; ensure uptime and on-time delivery for key datasets metrics and downstream products.
• Triage & remediate fast: Lead incident response for data quality/availability issues; drive RCA and corrective actions; reduce MTTR through automation and playbooks.
• Analyze & prevent: Apply EDA to quantify impact (blast radius) identify failure patterns and implement preventive controls and observability.
• Harden the pipeline factory: Mature CI/CD (branching approvals quality gates) and release automation; improve MFT and orchestration flows for reliability and throughput.
• Build the team: Recruit onboard and mentor Data Operations Analysts to support enterprise data modernization initiatives at scale.
• Participate in an on-call rotation for critical data products and platform components.

Qualifications :

Must-have skills & experience

• Hands-on technical leadership in data engineering QA/quality engineering and data operations.
• Deep proficiency in SQL ETL Tools and Python for test automation data validation and triage.
• Strong experience with ETL/ELT and orchestration (e.g. Control-M Airflow Databricks Jobs).
• CI/CD pipelines for data (Git/GitHub Jenkins/GitHub Actions) including quality gates and automated regressions.
• Familiarity with MFT platforms and secure file transfer patterns.
• Proven track record building DQ rulesets (profiling constraints anomaly detection) and putting them into production with monitoring and alerting.
• Production support experience: incident management RCA and post-mortems with action tracking and verification.
• Strong problem-solving skills; ability to translate requirements into executable tests and controls.

Nice to have

• Experience with cloud data platforms (Azure/AWS/GCP) and cloud data warehouses/lakehouses; Databricks strongly preferred.
• Familiarity with data warehousing dimensional modeling and performance tuning.
• Exposure Customer 360/MDM and enterprise data governance.
• Experience with BI/semantic layers and data product SLAs.
• Background working with streaming (Kafka Event Hubs) and schema management.

Leadership & behaviors

• Builders mindset with bias for automation and measurable outcomes.
• Clear candid communicator; able to translate between engineering detail and business impact.
• Empathetic coach who raises the teams technical bar and problem-solving capability.
• Drives a culture of documentation observability and continuous improvement.

Education: BS/MS in Computer Science Information Systems Data/Analytics or equivalent experience.

Experience: 710 years in data engineering/operations with 3 years leading QA/DQ or SRE-like functions for data systems.

Additional Information :

Benefits:

• Paid Holidays and Vacation 
• Medical Dental & Vision benefits that start on the first day of employment
• No-cost mental health support for employee and dependents
• Childcare tuition discounts
• No-cost fitness nutrition and wellness programs
• Fertility benefits
• Adoption assistance
• 401k matching contributions 
• 15% off the purchase price of stock 
• Company bonus 

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time