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Manager Data Engineering Jobs in Ohio (NOW HIRING)

FirstEnergy

Supervisor Data Engineering

Akron, OH · Remote

Ensuring adherence to data engineering standards and governance, as well as IT change management and related governance processes * Supporting numerous projects and activities simultaneously ...

Quanex

Manager, Data Governance

Akron, OH · On-site

Quanex is looking for a Manager, Data Governance to join our team located in Akron, OH, Owatonna ... This role partners closely with Engineering, IT, Manufacturing, Finance, and Operations ...

MphasiS Corporation USA

$102.10K - $122.70K/yr

... Engineering & Snowflake Design, develop, and maintain scalable data pipelines using Snowflake ... optimization) Manage data ingestion using tools like Snowpipe, Streams, and Tasks Cloud ...

Pwc

Data Engineer - Manager

Cleveland, OH

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Pwc

Data Engineer - Manager

Columbus, OH · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

Pwc

Data Engineer - Manager

Cincinnati, OH

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

A-TEK Inc.

Senior Data Engineer

Continental, OH · On-site +1

$160K - $170K/yr

Perform database tuning, query optimization, and performance engineering activities * Support secure data management and compliance with Federal security and data governance requirements * Provide ...

A-TEK Inc.

Senior Data Engineer

Continental, OH · On-site

$93.70K - $127.30K/yr

Perform database tuning, query optimization, and performance engineering activities * Support secure data management and compliance with Federal security and data governance requirements * Provide ...

The Data Sherpas

Data Architect

Mentor, OH · On-site

$57 - $73.25/hr

Collaborate with onsite engineering and business stakeholders to translate legacy Siebel data models into scalable, modern CRM and analytical data schemas • Ensure Data Governance : Establish and ...

Columbus Crew

Manager, Data Analysis

Columbus, OH

The Manager, Data Analysis will serve as a trusted analytics partner to business stakeholders ... Experience with programming or scripting languages such as Python or R * Experience mentoring or ...

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All JobsManager Data Engineering JobsManager Data Engineering Jobs in Ohio

Manager Data Engineering information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do manager data engineering jobs pay per year?

As of May 29, 2026, the average yearly pay for manager data engineering in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Ohio? The most popular types of Data Engineering jobs in Ohio are:
What are popular job titles related to Manager Data Engineering jobs in Ohio? For Manager Data Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Ohio look for? The top searched job categories for Manager Data Engineering jobs in Ohio are:
What cities in Ohio are hiring for Manager Data Engineering jobs? Cities in Ohio with the most Manager Data Engineering job openings:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Ohio as of May 2026, with employment types broken down into 1% As Needed, 58% Full Time, 38% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.
Manager, Data & Intelligence

Manager, Data & Intelligence

Great Day Improvements: A Family of Brands

Twinsburg, OH • On-site

$140K - $150K/yr

Full-time

Posted 17 days ago

Great Day Improvements rating

6.8

Company rating: 6.8 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

23rd of 47 rated home improvement suppliers and fitters

Job description

Overview
Great Day Improvements - Manager, Data & Intelligence (Remote, USA)
Company Overview
Since its founding 13 years ago, Great Day Improvements, LLC has grown rapidly toward its vision of becoming one of the largest home improvement companies in the U.S. Headquartered in Twinsburg, Ohio, Great Day Improvements is a $1.5 billion, vertically integrated, direct-to-consumer provider of premium home improvement products.
The company's family of brands includes Patio Enclosures®, Champion Windows and Home Exteriors®, Universal Windows Direct®, Apex Energy Solutions®, Stanek Windows®, Leafguard®, Englert®, and The Bath Authority.
With an expanding workforce of over 4,800 employees across 130 metropolitan markets throughout the U.S., Great Day Improvements continues to rank among the top home improvement companies nationwide and is one of the fastest growing private companies in America.
Summary
The Manager, Data & Intelligence is a hands-on leadership role responsible for overseeing both the Business Intelligence (BI) and Data Engineering teams. Reporting to the Director, Data & Intelligence, this role serves as a critical force multiplier, driving BI modernization, supporting data engineering workstreams tied to AI initiatives, and providing day-to-day people management across a mid-sized team of 6 to 10 analysts and engineers.
A central focus of this role is leading the transition to a Databricks Apps-forward BI platform, where AI-assisted programming accelerates the development of high-quality, self-service dashboards. The ideal candidate will bring deep marketing domain expertise, ideally honed at a Big 4 consulting firm, and the ability to translate complex marketing analytics needs into scalable, governed BI solutions.
This person will also serve on the company's Data Governance panel and act as the primary point of contact for business stakeholders on BI-related initiatives, balancing strategic thinking with operational execution.
Salary Range: $140,000 - 150,000
This salary range represents a good faith estimate of the compensation for this position. Actual compensation may vary based on education, experience, knowledge, skills, abilities, internal equity, and alignment with market data
Responsibilities
BI Modernization & Databricks Apps Strategy
  • Lead the migration from legacy BI tools (Tableau Cloud, Power BI) to a Databricks Apps-centered platform for dashboard development and analytics delivery
  • Champion AI-assisted development practices within the BI team, enabling faster iteration, higher-quality output, and reduced time-to-insight
  • Define standards for dashboard design, data visualization, and semantic layer governance within the Databricks ecosystem
  • Evaluate and integrate emerging AI-assisted development tools and workflows to continuously improve BI delivery speed and quality

People Management & Team Development
  • Directly manage, mentor, and develop a team of 6 to 10 data analysts and data engineers supporting multiple business units
  • Set clear priorities, assign projects, conduct performance reviews, and foster a collaborative, growth-oriented team culture
  • Serve as a working manager, willing to build dashboards, write queries, and troubleshoot alongside the team when needed
  • Identify skill gaps and drive professional development plans, particularly around Databricks, AI-assisted tooling, and modern data engineering practices

Data Engineering Oversight & AI Project Support
  • Oversee the data engineering team's workstreams, ensuring data pipelines, ingestion processes, and transformations are reliable, performant, and well-documented
  • Coordinate data engineering tasks related to the company's AI initiatives, partnering with the Director to prioritize and sequence work effectively
  • Ensure data engineering deliverables meet quality, security, and governance standards required by downstream BI and AI consumers

Stakeholder Engagement & Marketing Analytics
  • Serve as the primary liaison between business stakeholders and the Data & Intelligence team for all BI initiatives
  • Lead regular stakeholder meetings to intake requests, prioritize the backlog, align on reporting goals, and manage competing demands
  • Bring strong marketing domain knowledge to the role, translating marketing KPIs, attribution models, and campaign performance needs into actionable BI solutions
  • Communicate complex data insights and project updates clearly and persuasively to both technical and non-technical audiences, including executive leadership

Data Governance
  • Sit on the company's Data Governance panel, contributing to policies around data quality, metadata management, data classification, and access controls
  • Establish and enforce BI-specific governance standards including report certification, naming conventions, and semantic layer definitions
  • Collaborate with data engineering and IT to ensure governance frameworks are operationalized across the analytics ecosystem

Qualifications
Required Qualifications
  • Bachelor's degree in Business Analytics, Data Science, Information Systems, Marketing Analytics, or a related field
  • 7+ years of progressive experience in Business Intelligence, Data Analytics, Data Engineering, or a related discipline
  • 3+ years of direct people management experience, including hiring, performance management, and team development
  • Strong marketing domain knowledge, including familiarity with marketing KPIs, attribution modeling, campaign analytics, and customer lifecycle metrics
  • Hands-on experience with modern BI platforms (Databricks, Tableau, Power BI) including administration, governance, and dashboard development
  • Solid understanding of data engineering concepts: ELT/ETL pipelines, data modeling, SQL, and cloud data platforms
  • Proven track record of managing complex, cross-functional analytics projects with multiple competing stakeholder priorities
  • Excellent interpersonal, presentation, and communication skills with the ability to influence at the executive level

Preferred Qualifications
  • Consulting background at a Big 4 firm (Deloitte, EY, PwC, KPMG) or equivalent management consulting experience with a focus on data & analytics or marketing transformation
  • Experience with Databricks (including Databricks SQL, Unity Catalog, and/or Databricks Apps)
  • Familiarity with AI-assisted development tools and their application to BI and data engineering workflows
  • Experience managing BI environments across multiple brands or business units
  • Exposure to Azure data technologies (Azure Data Lake, Azure DevOps, Databricks on Azure)
  • Experience working in a direct-to-consumer, home services, or marketing-intensive industry
  • Experience participating in or establishing data governance programs

Competencies
  • Strategic thinker who connects technical solutions to marketing and business outcomes
  • Exceptional collaborator and communicator who builds trust across technical and non-technical teams
  • Comfortable operating at both the strategic and tactical level, can present to executives and debug a pipeline in the same day
  • Skilled at balancing structure with flexibility in a fast-paced, evolving data environment
  • Passionate about modern BI, AI-assisted workflows, and fostering a data-driven culture
  • Strong project management instincts with the ability to keep multiple workstreams on track without formal PM tooling

Success Measures
Success in this role will be measured by:
  • Successful migration roadmap and early adoption of Databricks Apps as the primary BI platform
  • BI reports and dashboards are trusted, widely adopted, and delivered faster through AI-assisted development practices
  • Stakeholder satisfaction with BI team responsiveness, quality of deliverables, and marketing analytics depth
  • Data engineering workstreams supporting AI initiatives are delivered on time and meet governance standards
  • Team growth, retention, skill development, and engagement across both BI and data engineering functions
  • Active, meaningful contribution to the Data Governance panel and adoption of governance standards across BI platforms
  • Data literacy and self-service adoption increase across the organization, particularly within marketing

GDI is an Equal Employment Opportunity Employer

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