Mid Level Master Data Management Jobs
Mid level master data management jobs go to professionals ready to own data governance initiatives end to end, guide junior analysts, and drive data quality decisions with limited oversight. Openings are concentrated across Retail, Education, and Insurance, with a strong mix of on-site, remote, and hybrid roles, and employers like Tradeweb, Stitch Fix, and Procter & Gamble hiring at this level now.
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Job Description
The Manager of Data Management is responsible for leading the day-to-day delivery and operational execution of the University’s enterprise data initiatives. Reporting to the Director of Data Management, this role manages a team of data engineers, analysts, developers, and database administrators, while serving as Scrum Master to ensure agile delivery of data products and platform capabilities. This position translates enterprise data strategy into actionable roadmaps, manages the team backlog, facilitates agile ceremonies, and ensures high-quality, secure, and scalable data solutions that support analytics, integration, and institutional decision-making. The Manager partners closely with data governance, analytics, infrastructure, and campus stakeholders to ensure that data solutions align with institutional priorities and comply with governance and security standards.
Essential Functions
Team Leadership & Development
- Provide direct supervision and mentorship to data engineers and developers.
- Support career development and skill growth aligned with modern data practices.
- Encourage collaboration, accountability, and agile best practices.
- Assist in hiring, onboarding, and performance management processes.
Agile Delivery & Scrum Leadership
- Serve as Scrum Master for the data management team, facilitating sprint planning, daily stand-ups, retrospectives, and backlog refinement.
- Partner with the Director to translate strategic priorities into deliverable work items and sprint goals.
- Remove blockers and ensure smooth workflow across the team.
- Track delivery metrics and team performance using agile practices.
- Promote continuous improvement and agile maturity within the team.
Platform Operations & Optimization
- Oversee day-to-day health of data platforms, pipelines, and tools.
- Monitor performance and recommend improvements in collaboration with architecture leadership.
- Coordinate with support, organizing bug fixes and incidents for engineers and admins.
- Coordinate with Infrastructure & Operations for platform stability and recovery readiness.
Data Platform & Pipeline Delivery
- Lead the implementation of data pipelines, integrations, and platform capabilities.
- Coordinate development of ETL/ELT workflows supporting analytics and operational systems.
- Working with architect, align with enterprise data architecture and governance standards.
- Support deployment, testing, and release management processes.
Data Integration & API Execution
- Manage development and maintenance of system integrations and API implementations.
- Maintain alignment with the University API catalog and integration strategy.
- Ensure data consistency and alignment with governance definitions and business rules.
Data Quality & Operational Governance
- Operationalize data governance standards through implementation practices.
- Monitor data quality processes including validation, cleansing, and monitoring.
- Ensure access provisioning aligns with approved governance workflows.
- Support audit readiness and compliance activities.
Data Governance Implementation
- Standard Operating Procedure Development: Collaborate with the University’s Analytics and Institutional Reporting (AIR) unit and other applicable groups, to develop and implement data governance policies and procedures that ensure data quality, compliance, and security.
- Compliance Monitoring: Monitor compliance with data governance policies and regulatory requirements, addressing any issues or gaps as needed.
Platform Management
- Platform Selection: Evaluate and select data management platforms that meet the organization's needs for scalability, performance, and cost-effectiveness.
- Platform Optimization: Continuously optimize data management platforms to ensure they support evolving business requirements and technological advancements.
- Vendor Management: Manage relationships with platform vendors and service providers, ensuring they deliver high-quality products and services.
Team Leadership
- Team Development: Build and lead a high-performing team of data professionals, providing mentorship, training, and career development opportunities.
- Collaboration: Foster a collaborative and innovative team culture that encourages knowledge sharing and continuous improvement.
- Performance Management: Set performance goals and conduct regular performance reviews to ensure team members meet or exceed expectations.
Stakeholder Collaboration
- Partner Alignment: Work closely with campus leaders to understand their data needs and ensure data initiatives align with university objectives.
- Cross-Functional Collaboration: Collaborate with IT, AIR, and other departments to deliver integrated data solutions.
- Communication: Communicate data management strategies, progress, and outcomes to partners at all levels of the university.
Qualifications
- Bachelor’s degree in computer science, Information Technology, Data Science, or a related field; Masters degree preferred.
- 5-7+ years of experience in data management, with a focus on data architecture, data integration, and database administration.
- Proven experience leading people and creating great work environments.
- Proven experience and understanding of agile methodologies with certification preferred.
- Proven experience in leading data initiatives and managing enterprise data lakes.
- Strong experience with API first data strategies.
Knowledge, Skills, And Abilities
- Agile methodology and utilization of PPM tools to manage processes.
- Ability to professionally articulate the IT vision, goals, and strategy while implementing proactive change in support of strategic goals.
- Experience facilitating operational planning exercises both internal and external to IT.
- Strong analytical skills.
- Ability to cultivate trust and credibility with colleagues, including external constituents.
- Good understanding of advanced technical components and system interactions.
- Expert proficiency in Business case, functional and technical requirement documentation.
- Ability to resource plan & manage in a direct reporting and matrixed environment.
Soft Skills
- Strong customer relationship management.
- Strong commitment to the mission of Creighton University.
- Skilled at giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
- Ability to communicate effectively and frequently both verbally and in writing.
- Ability to manage and resolve conflicts.
- Knowledge of principles and processes for providing customer and personal services. This includes customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction.
- Ability to influence multiple stakeholders without direct authority.
- Business acumen coupled with technical knowledge.
- Strong research skills with attention to detail.
- Ability to conduct cost/benefit analysis and business case development.
- Must be able to work independently and proactively.
- Excellent organizational, analytical, and independent problem-solving skills.
- Demonstrated understanding of client relationship management, process mapping and improvement, project management, and production support.
- Proven ability to provide business analysis for large scope project teams to meet customer expectations.
- Demonstrated understanding of business analyst tools and techniques; demonstrated proficiency using MS Office and Visio tools.
About us
Creighton University is committed to providing a safe and non-discriminatory educational and employment environment. The University admits qualified students, hires qualified employees and accepts patients for treatment without regard to race, color, religion, sex, marital status, national origin, age, disability, citizenship, sexual orientation, gender identity, gender expression, veteran status, or other status protected by law. Its education and employment policies, scholarship and loan programs, and other programs and activities, are administered without unlawful discrimination. Creighton complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Applicants with disabilities needing reasonable accommodations to complete the application or hiring process should contact Human Resources at HR@creighton.edu. Creighton University seeks candidates who understand, respect, and can contribute to the University's mission and values.
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Mid Level Master Data Management Jobs: Frequently Asked Questions
How do I get a mid level master data management job?
Position yourself around ownership and outcomes: highlight projects where you led data quality improvements, designed or maintained master data models, or established governance workflows without close supervision. Tailor your resume to show cross-functional collaboration with IT, finance, or operations teams. Certifications in data governance frameworks and familiarity with MDM platforms like Informatica, Reltio, or Stibo strengthen your candidacy significantly.
Which companies hire mid level master data managements?
Companies hiring mid level master data managements right now include Tradeweb, Stitch Fix, and Procter & Gamble, based on current listings on Migrate Mate as of August 2026. Hiring at this level tends to come from large enterprises and mid-size organizations with complex product, customer, or supplier data ecosystems that require dedicated MDM professionals to maintain accuracy and consistency.
Are there remote mid level master data management jobs?
Yes, and they make up a meaningful share of the market. About 33% of mid level master data management openings are remote or hybrid as of August 2026, reflecting how data governance work translates well to distributed teams. Fully remote roles often still require occasional on-site collaboration for system implementations or stakeholder workshops, so check each listing carefully.
How do I move up to a mid level master data management role?
The move from entry level to mid level in master data management is built on demonstrated ownership. Start by taking on data stewardship responsibilities, contributing to governance documentation, and learning an enterprise MDM platform deeply. Over time, lead small data cleanup or migration projects, measure the business impact of your work, and show you can coordinate with stakeholders outside your immediate team without constant guidance.
Which industries hire the most mid level master data managements?
Mid Level master data management roles concentrate in Retail, Education, and Insurance, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they manage large, complex datasets across products, customers, and supply chains where consistent, high-quality master data directly affects operational efficiency and regulatory compliance.