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Manager Data Operations Lead Jobs in Michigan (NOW HIRING)

Kaney Aerospace LLC

Operations Lead

Freeland, MI · On-site

$70K - $95K/yr

Description A hands-on and results-driven Site Lead to oversee daily operations at a small ... Analyze production data and KPIs to identify trends and implement corrective actions * Manage site ...

Kaney

Operations Lead

Freeland, MI · On-site

$70K - $95K/yr

A hands-on and results-driven Site Lead to oversee daily operations at a small aerospace ... Analyze production data and KPIs to identify trends and implement corrective actions * Manage site ...

Kaney, Inc

Operations Lead

Freeland, MI · On-site

$70K - $95K/yr

A hands-on and results-driven Site Lead to oversee daily operations at a small aerospace ... Analyze production data and KPIs to identify trends and implement corrective actions * Manage site ...

Affirm

Revenue Operations Lead

Detroit, MI · On-site +1

$88K - $128K/yr

... management efficiency; define processes to ensure data integrity at funnel entry Partner with ... operations experience Proficiency in Salesforce (experience as an administrator is a plus ...

Megan soft Inc

Site IT Operations Lead

Dearborn, MI · On-site

Role: Site IT Operations Lead (W2 Position) Location: Dearborn, MI - Hybrid (4 days in office ... Management, Data Analysis, Employee Engagement, Microsoft Office, Network Engineering, Change ...

At Home Stores LLC

Operations Lead - FT

Wixom, MI · On-site

The Operations Lead (OL) reports to the Operations Manager and supports store processes and an active selling culture by ensuring that all aspects are maintained to documented company standards ...

At Home Stores LLC

Operations Lead - FT

Jenison, MI · On-site

The Operations Lead (OL) reports to the Operations Manager and supports store processes and an active selling culture by ensuring that all aspects are maintained to documented company standards ...

Atomic Object

Marketing Operations Lead

Ann Arbor, MI · On-site

As the Marketing Operations Lead, you'll keep the engine running: managing the systems, content ... Analyze sales and marketing data from CRM to identify trends, gaps, and opportunities * Support CEO ...

At Home Stores

Operations Lead - FT

Wixom, MI · On-site

The Operations Lead (OL) reports to the Operations Manager and supports store processes and an active selling culture by ensuring that all aspects are maintained to documented company standards ...

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Manager Data Operations Lead information

What are the key skills and qualifications needed to thrive as a Manager Data Operations Lead, and why are they important?

To thrive as a Manager Data Operations Lead, you need a solid background in data management, analytics, and process optimization, typically with a degree in computer science, information systems, or a related field. Experience with data warehousing tools, ETL systems, SQL, and platforms like Snowflake or AWS, along with certifications such as PMP or Six Sigma, is highly valuable. Strong leadership, communication, and problem-solving skills enable you to coordinate teams, manage stakeholders, and drive continuous improvement. These skills are crucial for ensuring data quality, operational efficiency, and the strategic alignment of data initiatives within an organization.

How does a Manager Data Operations Lead collaborate with cross-functional teams to ensure data quality and consistency?

A Manager Data Operations Lead frequently works with teams such as engineering, analytics, and business stakeholders to align data processes and standards. They facilitate communication between departments to clarify data requirements, resolve discrepancies, and implement best practices for data governance. Regular meetings and progress check-ins are typical, helping to quickly address issues and maintain high data quality across all business units. Effective collaboration ensures that data remains a reliable resource for decision-making and strategic initiatives.

What does a Manager Data Operations Lead do?

A Manager Data Operations Lead oversees the daily operations related to data management within an organization. This role is responsible for ensuring data integrity, optimizing data workflows, and leading a team of data professionals. Key responsibilities include implementing data governance policies, coordinating with IT and business units, and ensuring compliance with data security standards. The role requires strong leadership, technical expertise, and excellent problem-solving skills.

What is the difference between Manager Data Operations Lead vs Data Analyst?

AspectManager Data Operations LeadData Analyst
Required CredentialsBachelor's degree in Data Science, Business, or related field; experience in data managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data teams, manages data operations, collaborates with multiple departmentsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for managing data teamsCommon across industries for data insights and reporting
Search & Comparison IntentOften compared for leadership roles in data managementCompared for technical data analysis skills

The Manager Data Operations Lead focuses on overseeing data management teams and ensuring data quality across organizations, while Data Analysts primarily analyze data sets to generate insights. Both roles require strong data skills, but the manager role emphasizes leadership and operational oversight.

What are popular job titles related to Manager Data Operations Lead jobs in Michigan? For Manager Data Operations Lead jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Manager Data Operations Lead jobs in Michigan look for? The top searched job categories for Manager Data Operations Lead jobs in Michigan are:
What cities in Michigan are hiring for Manager Data Operations Lead jobs? Cities in Michigan with the most Manager Data Operations Lead job openings:
Manager Data Operations Lead jobs near you
Infographic showing various Manager Data Operations Lead job openings in Michigan as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 2% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.
Manager, Data Quality Engineering

Manager, Data Quality Engineering

Domino's

Ann Arbor, MI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Domino's rating

4.9

Company rating: 4.9 out of 10

Based on 1,873 frontline employees who took The Breakroom Quiz

18th of 22 rated food delivery companies

Job description

Company Description
Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 65% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!
Job Description
As a Manager - Data Quality Engineering, you will lead the organization's data quality, quality engineering, and data analyst practice. This is a senior technical leadership role accountable for ensuring the reliability, trustworthiness, and operational excellence of data pipelines and data products across analytics, AI, and operational platforms.
You will partner closely with Data Engineering, Platform, Analytics, Product, and Business teams to embed quality-by-design into data pipelines, implement automated testing and observability, and run production data operations. The role combines proactive quality engineering with hands-on operational leadership-ensuring data issues are detected early, resolved quickly, and prevented from recurring at scale.
General Responsibilities:
Leadership, Team Development & Practice Building
  • Own the quality engineering practice end-to-end - vision, strategy, operating model, and roadmap. You are responsible for maturing QE from a support function into a core engineering discipline.
  • Partner with Data Engineering to ensure pipelines are resilient, observable, and aligned to business requirements.
  • Build, develop, and retain a high-performing team of quality engineers and analysts (onshore + offshore). Set clear expectations, provide regular feedback, and create growth paths for your team members.
  • Define and govern QE standards, processes, and KPIs - including automation coverage, cycle time, defect leakage, test effectiveness, and data validation coverage across all Lines of Business.
  • Establish a culture of engineering rigor and accountability - where quality is everyone's responsibility, not a gate at the end of the pipeline.
  • Create a knowledge repository that replaces tribal knowledge - enterprise test strategy, reusable patterns, and documented standards that scale beyond any individual.
  • Evaluate, adopt, and govern data quality and observability tools (build vs. buy) - e.g., Great Expectations, Soda, Monte Carlo, QuerySurge, or custom Databricks-native frameworks.
  • Build quality into data pipelines through preventive design, automated testing, and CI/CD quality gates.
  • Design and maintain automated checks for freshness, completeness, accuracy, validity, volume, and schema drift.
  • Establish enterprise data quality frameworks, scorecards, SLAs/SLOs, and standards for critical datasets.

Hands-On Technical Leadership
  • Stay close to the work by participating in design reviews, architecture discussions, and technical decision-making - ensuring quality is designed in, not tested in.
  • Guide the team in building automated data validation frameworks (Python, PySpark, SQL) covering data comparison, regression, BI report validation, and pipeline smoke tests.
  • Drive the embedding of quality gates into CI/CD pipelines - freshness, completeness, accuracy, validity, volume, schema drift, and business rule conformance checks before production deployment.
  • Architect and oversee data quality observability - dashboards, alerting, SLA-aligned thresholds, and escalation paths for engineers, product owners, and leadership.
  • Lead incident response for critical data quality issues - guide triage, RCA, post-mortems, and corrective actions. Reduce MTTR through automation and operational playbooks.
  • Selectively contribute hands-on to high-impact POCs, automation frameworks, and complex debugging - setting the technical standard through your own work when it matters most.

Cross-Functional Partnership
  • Partner with Data Engineering to ensure pipelines are resilient, observable, and aligned to business requirements.
  • Collaborate with Analytics, Product, and Business stakeholders to align quality metrics to business outcomes.
  • Support AI/ML initiatives by ensuring reliable, high-quality training and inference data.
  • Work with platform teams (Databricks, Azure, CI/CD tooling) to embed quality signals natively into orchestration and release workflows.

Qualifications
Must-have Skills & Experience
  • 8+ years in data engineering, analytics engineering, data quality, or data operations, with 2+ years in a lead, senior lead, or management role.
  • Demonstrated ability to build, mentor, and develop engineering talent - you know how to grow people, set expectations, and create accountability.
  • Strong technical judgment across data quality engineering, QA, and production data operations - you can evaluate designs, guide architecture decisions, and hold your team to high technical standards.
  • Proficiency in SQL and working knowledge of Python/PySpark - enough to review code, guide automation design, and contribute hands-on when needed. You don't need to be the best coder on the team, but you need to be technically credible.
  • Experience with modern cloud data platforms (Databricks, Delta Lake, Azure Data Lake, cloud data warehouses/lakehouses).
  • Experience embedding quality into CI/CD workflows - quality gates, automated regression, and release automation for data pipelines.
  • Experience leading or significantly contributing to incident response, RCA, and reliability improvement in production environments.
  • Ability to translate technical issues into clear business impact for executive and cross-functional audiences.

Nice to Have
  • Experience with data quality and observability tools (Monte Carlo, Great Expectations, Soda, QuerySurge, or custom frameworks).
  • Familiarity with orchestration and workflow tools (Control-M, Azure Data Factory, Databricks Workflows).
  • Experience supporting regulated or high-scale enterprise environments with production SLA governance.
  • Knowledge of data governance, metadata management, Unity Catalog, and data cataloging.
  • Experience with streaming data platforms (Kafka/Confluent) and schema management.
  • Exposure to dimensional modeling, data warehousing, and query performance tuning.
  • Experience with BI tools, semantic layers, or managing data product SLAs.

Education & Experience
BS/MS in Computer Science, Information Systems, Data/Analytics, or equivalent practical experience.
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.

What Domino's employees say

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom

Domino's logo

About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

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