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Data Leader Jobs in Michigan (NOW HIRING)

Masco Corporation

Data Engineering Leader

Livonia, MI · On-site

The Data Engineering Leader partners closely with the BI Delivery Leader to ensure enterprise data structures and models are in place for accurate, timely analytics delivery. What You'll Own ...

Watkins Wellness

Data Engineering Leader

Livonia, MI · On-site

$103.70 - $163.02/hr

The Data Engineering Leader owns the delivery, quality, and operational health of Masco's enterprise data engineering capability. Reporting to the Enterprise Data Architect, this role leads a team of ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement ...

Clarkston Consulting

Data Architect

Detroit, MI · On-site +1

$63 - $81.25/hr

Clarkston Consulting is seeking motivated, self-driven leaders who are energized by team results ... What You'll Do As a Data Architect at Clarkston you will: * Work with all levels of staff ...

ArtiFlex Manufacturing

Data Scientist

Grand Rapids, MI · On-site

Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement ...

Converys

Data Architect

East Lansing, MI · On-site

$105K - $143K/yr

Cloud Data Platform Leadership * Design and oversee medallion-style data layers (bronze/silver/gold) for ingestion, curation, and consumption. Governance, Standards & Best Practices * Work with Data ...

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Data Leader information

What is a data leader?

A Data Leader is a senior professional responsible for developing and implementing an organization’s data strategy, ensuring that data assets are effectively managed and leveraged to drive business value. They oversee data governance, data quality, analytics initiatives, and often manage teams of data scientists, engineers, and analysts. Data Leaders play a key role in shaping data-driven decision-making, aligning data projects with business objectives, and ensuring compliance with data regulations. Their work helps organizations unlock insights from data, improve operations, and gain a competitive advantage.

What are the key skills and qualifications needed to thrive as a data leader?

To thrive as a Data Leader, you need expertise in data analytics, data management, and strategy, often backed by an advanced degree in a quantitative field and experience in data-centric roles. Familiarity with tools like SQL, Python, data visualization platforms (e.g., Tableau, Power BI), and cloud data systems is typically required. Strong leadership, communication, and stakeholder management skills help drive organizational alignment and data-driven decision-making. These competencies are crucial for shaping effective data strategies, ensuring data quality, and delivering business value through insights.

How do data leaders typically balance strategic oversight with hands-on involvement in data projects?

Data Leaders often face the challenge of balancing high-level strategy with direct involvement in data initiatives. While their primary responsibility is to set the vision for data governance, analytics, and architecture, they also need to stay engaged with teams to ensure alignment and remove obstacles. This often means participating in key project meetings, reviewing major deliverables, and facilitating communication between technical and business stakeholders. Effective Data Leaders delegate operational tasks but remain accessible for critical decision-making and mentorship, fostering both team autonomy and strategic coherence.

What is the difference between Data Leader vs Data Analyst?

AspectData Leader
ResponsibilitiesStrategic data management, setting data vision, leading data teams
Skills & CertificationsData strategy, leadership, advanced analytics, often with certifications like CDMP or DAMA
Work EnvironmentExecutive-level, cross-departmental collaboration, senior management
FocusHigh-level data governance, business impact, long-term data strategy

While a Data Leader focuses on strategic oversight, governance, and leading data initiatives at an organizational level, a Data Analyst primarily handles data analysis, reporting, and supporting decision-making through data insights. Both roles require strong analytical skills, but the Data Leader emphasizes leadership and strategy, whereas the Data Analyst concentrates on technical analysis and data interpretation.

What are popular job titles related to Data Leader jobs in Michigan?

For Data Leader jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Leader jobs in Michigan look for?

The top searched job categories for Data Leader jobs in Michigan are:

What cities in Michigan are hiring for Data Leader jobs?

Cities in Michigan with the most Data Leader job openings:

Data Leader jobs near you
Infographic showing various Data Leader job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineering Leader

Masco Corporation

Livonia, MI • On-site

Full-time

Posted 26 days ago

Masco rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Role Summary
The Data Engineering Leader owns the delivery, quality, and operational health of Masco's enterprise data engineering capability. Reporting to the Enterprise Data Architect, this role leads a team of Data Engineers building and operating the ingestion, transformation, and Lakehouse solutions that power enterprise POS and adjacent commercial data. This is a hands-on technical leader who codes alongside the team, holds engineers accountable to project plans and SLAs, and provides architectural support to the Enterprise Data Architect on ingestion patterns, pipeline design, and platform decisions. The Data Engineering Leader partners closely with the BI Delivery Leader to ensure enterprise data structures and models are in place for accurate, timely analytics delivery.
What You'll Own
Engineering Team Leadership & Delivery Accountability
  • Lead, coach, and manage a team of Data Engineers, including performance guidance and prioritization.

  • Hold the team accountable to project plans, sprint commitments, and quality expectations.

  • Coordinate onshore and offshore engineering capacity, serving as the technical lead for offshore engineering resources and the bridge back to onshore leads.

  • Sequence sprint delivery against the priority roadmap and requirements set by the Enterprise Data Architect, Technical Product Owner, and Business Data Analyst.

Ingestion, Pipeline & Data Platform Build
  • Own the build and operation of ingestion pipelines across retailer, HQ, and BU data sources on the Databricks and Azure data stack.

  • Contribute directly as a senior engineer on critical-path pipelines, Lakehouse design, and modeling work.

  • Partner with the Architect to build the ingestion side of the attribution crosswalk and master data foundations to the documented spec.

  • Enforce data-validation gates for completeness, outliers, and consistency before data reaches enrichment.

Incident Management, Release Management & Operational SLAs
  • Own intake, triage, and resolution of pipeline incidents and data issues raised by BU and HQ consumers.

  • Own release management for engineering enhancements, requests, and projects, including development operations, sprint execution, deadlines, and delivery of the business value defined by the Business Data Analyst and Technical Product Owner.

  • Establish and adhere to SLAs for incident response, resolution, and communication back to consumers.

  • Own monitoring, alerting, and operational health of pipelines, credentials, and source integrations.

  • Escalate issues that touch the enterprise model, masters, or attribution to the Enterprise Data Architect.

Cloud Cost & Consumption Management
  • Monitor cloud storage, compute, and consumption of enterprise data platforms, and track related costs.

  • Contribute to budgeting for cloud, data services, and engineering tools, informed by consumption trends and workload forecasts.

  • Recommend cost optimization actions such as right-sizing, workload tuning, and storage tiering as part of ongoing platform operations.

Architecture Support & Analytics Delivery Enablement
  • Serve as a delivery-side extension of the Enterprise Data Architect, advising on ingestion patterns, Lakehouse design, and platform decisions.

  • Enforce enterprise standards for data engineering, integration, and data quality in all work delivered by the team.

  • Work closely with the BI Delivery Leader to ensure enterprise data structures, models, and metric definitions are in place for accurate and timely analytics delivery.

  • Stay connected to BU data engineering counterparts for collaboration, cross-learning, and consistent enterprise practice.

Documentation & Knowledge Management
  • Establish and enforce how engineering documentation works across the team, in partnership with the Enterprise Data Architect.

  • Own documentation standards for pipelines, ingestion patterns, operational runbooks, credentials management, incident response, and release management.

  • Ensure engineers document changes to metrics, pipelines, and data flows as part of the definition of done.

Required Qualifications
Education & Experience
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Analytics, or a related field; equivalent professional experience considered.

  • Proven experience in a data engineering leadership role, including managing engineers and delivery accountability.

  • Substantial hands-on experience designing and building scalable data engineering solutions on a major cloud platform, with emphasis on the Azure ecosystem.

  • Experience running incident management and SLA-driven support for data pipelines.

  • Experience coordinating onshore and offshore engineering delivery.

Technical Skills
  • Advanced hands-on expertise with Databricks and the Azure data stack (Data Factory, Data Lake, Synapse, Analysis Services).

  • Deep working knowledge of the medallion architecture (bronze / silver / gold) for structuring Lakehouse solutions.

  • Understanding of and experience with Microsoft Fabric, including how it fits alongside Databricks in a modern enterprise data platform.

  • Advanced SQL / T-SQL and strong ETL/ELT design and build experience.

  • Strong proficiency in Python for data engineering.

  • Working knowledge of distributed processing and Lakehouse principles.

  • Solid understanding of CI/CD, DevOps, and automation for data workflows.

  • Strong understanding of Kimball dimensional modeling and enterprise semantic layers.

  • Understanding of data governance, security, and compliance as they apply to enterprise data engineering.

Skills & Competencies
  • Player-coach mindset. Leads the team and still contributes directly on critical-path engineering work.

  • Delivery-driven. Owns commitments, SLAs, and follow-through.

  • Willingness to explore and understand new and modern data tools to add value to the enterprise POS and POS-related engineering space.

  • Collaborative with BU data engineering counterparts for cross-learning and consistent practice.

  • Strong communicator who can translate engineering realities for business and leadership, and architectural direction for engineers.

  • Detail-oriented, self-directed, and a continuous learner on modern data engineering practices.

  • Ability to lead team and manage career development for small number of direct reports.

Preferred Qualifications
  • Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core.

  • Experience with Databricks Unity Catalog, data lineage, and observability tools.

  • Experience with PowerBI.

  • Familiarity with ML/AI integration (MLflow, Azure ML) and DataOps/MLOps practices.

  • Experience with RESTful API development for data acquisition.

  • Familiarity with modern DataOps, Agile, or Kanban delivery practices.

Company: Masco
Full time
Hiring Range: $103,700.00 - $163,020.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Masco Corporation is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English & Spanish
E-verify Right to Work Poster: English, Spanish

What Masco employees say

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About Masco

Sourced by ZipRecruiter

Our founder, Alex Manoogian, arrived in the United States in 1920 with $50 in his pocket and a relentless drive to make a better life for himself and his family. Decades later, that drive continues to permeate every aspect of our business. We believe in better living possibilities—for our homes, our environment and our community. Across our businesses and geographies, we seek out these possibilities to grow ourselves, enhance our consumers’ lives, create long-term value for our shareholders and improve the world around us. As a family of companies, we share a strong ethical culture and continuous improvement mindset driven by people and backed by an operating system designed to leverage our scale.

Industry

Building materials and garden equipment dealers

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US

Year founded

1929

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