Manager, Data Quality

The Manager, Data Quality, is responsible for overseeing the full data management lifecycle and operational workflow of Company Entity Management (CEM) for company and contact data within Dodge Construction Network's (Dodge) master data ecosystem. This role leads both onshore and offshore teams to ensure the accuracy, completeness, and standardization of company entities that power Dodge's products, customer experiences, and analytics.

The Manager will define and execute the end-to-end operating model for CEM including the development of Standard Operating Procedures (SOPs), establishing KPIs, designing quality and governance frameworks, and defining requirements for automation and human-in-the-loop workflows. This role drives continuous improvement by refining processes, enhancing data sourcing and enrichment, evaluating automation outputs, and collaborating closely with cross-functional partners across Product, Engineering, and Operations.

This leader must bring strong people management and project management skills, an analytical mindset, and have experience working in scalable data operations environments.

This is a full-time position and reports directly to the Director of Data Acquisition.

Preferred Location

• This is a remote, home-office-based role, and candidates located in the continental United States will be considered.

• For this position, there is a preference to hire in the Central and Eastern Time Zone; however, candidates in other areas/time zones would be considered as well.

Travel Requirements

Expected travel is minor for this role.

Essential Functions

• Design, maintain, and improve company and contact entity workflows, SOPs, SLAs, and quality standards

• Define and track KPIs for team efficiency, business impact, financial stewardship, and client satisfaction

• Oversee entity creation, updates, merges, conflict resolution, and exception handling

• Partner with automation, engineering, and data science to integrate and optimize human-in-the-loop and machine-assisted processes

• Analyze performance patterns to identify automation gaps, reduce manual interventions, and continuously improve processes

• Lead, mentor, and develop CEM team members

• Establish performance expectations, work allocation, and capacity planning

• Manage relationships with third party data providers and offshore vendors

• Collaborate closely with Engineering, Product, Sourcing, and Sales to align CEM standards with business and platform needs

• Participate in roadmap discussions, attribute model design, and classification/taxonomy updates

Education Requirement

Bachelor's degree in Information Systems, Data Analytics, Supply Chain Management, Computer Science, Engineering, Operational Management, or related technical fields or equivalent education and work experience.

Required Experience, Knowledge and Skills

• 7+ years of experience in data operations, master data management, digital operations, or business transformation

• 2+ years managing teams

• Proven experience managing both onshore and offshore teams

• Experience with SQL and/or Python programming

• Advanced problem solving and data driven decision making capabilities

• Proven record of managing external vendor relationships

• Ability to translate technical concepts into actional business insights for non-technical stakeholders

• Experience with automation tools, scraping frameworks, and data pipelines

• Exposure to data operations utilizing machine learning and data enrichment techniques

• Proficiency in data governance, KPI management, and quality assurance

• Strong project management skills, including planning, prioritization, and execution of change management

• Excellent written and verbal communication skills for presenting strategies, reporting performance metrics, and building relationships with stakeholders

Preferred Experience, Knowledge and Skills

• Data Visualization tools such as AWS Quicksight, PowerBI, Tableau

• Knowledge of construction industry or content workflows a plus

• Experience with salesforce a plus

• Familiarity with cloud-based data environments

• Familiarity with Jira/Confluence

About Dodge Construction Network

Dodge Construction Network exists to deliver the comprehensive data and connections the construction industry needs to build thriving communities. Our legacy is deeply rooted in empowering our customers with transformative insights, igniting their journey towards unparalleled business expansion and success. We serve decision-makers who seek reliable growth and who value relationships built on trust and quality. By combining our proprietary data with cutting-edge software, we deliver to our customers the essential intelligence needed to excel within their respective landscapes. We propel the construction industry forward by transforming data into tangible guidance, driving unparalleled advancement.

Dodge is the catalyst for modern construction.

Salary Disclosure

Dodge Construction Network's compensation and rewards package for full time roles includes a market competitive salary, comprehensive benefits, and, for applicable roles, uncapped commissions plans or an annual discretionary performance bonus.

For this role, we are only considering candidates who are legally authorized to work in the United States and who do not now or in the future require sponsorship for employment visa status.

A background check is required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job and consistent with all federal state and local ordinances.

Reasonable Accommodation

Dodge Construction Network is committed to recruiting, hiring, and promoting people with disabilities. If you need an accommodation or assistance completing the online application, please email [email protected] _._

Equal Employment Opportunity Statement

Dodge Construction Network is an Equal Opportunity Employer. We are committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. All employment decisions shall be based on merit, qualifications, and business needs without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, pregnancy, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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