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Data Modeling Director Jobs (NOW HIRING)

USM

LEAD Data Modeler

Columbus, OH

$53 - $68.50/hr

... as a Director-level role in the organization. Candidates need to be able to effectively and confidently describe and execute on Data Analysis/Modeling strategies for the program. Additional ...

VNO-NCW

Director of Data Analytics

Paramus, NJ · On-site

As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are ... You will partner with teams across the business to design our data models, define core metrics, and ...

VNO-NCW

Director of Data Analytics

Paramus, NJ

As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are ... You will partner with teams across the business to design our data models, define core metrics, and ...

DeepIntent

Director, Data Ontology

New York, NY

$180K - $200K/yr

ICD-10, etc) to DeepIntent's internal data model, when applicable * Build and manage a knowledge graph that connects our data and products into a coherent, traversable semantic layer Data ...

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$52K

$128.5K

$200K

How much do data modeling director jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data modeling director in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Modeling Director vs Data Warehouse Manager?

AspectData Modeling DirectorData Warehouse Manager
Primary FocusDesigning and overseeing data models and architectureManaging data warehouse operations and data integration
Required SkillsData modeling, database design, leadershipData warehousing, ETL processes, team management
Work EnvironmentStrategic planning, collaboration with data architectsOperational management, technical troubleshooting
Industry UsageUsed across industries with large data needsPrimarily in organizations with extensive data warehousing needs

The Data Modeling Director focuses on creating and maintaining data models and architecture, ensuring data consistency and quality. In contrast, the Data Warehouse Manager handles the day-to-day operations of data warehouses, including data integration and performance optimization. Both roles require strong technical skills, but their responsibilities differ in scope and focus.

What does a Data Modeling Director do?

A Data Modeling Director oversees the design, development, and management of data models that support an organization's data strategy and business goals. They lead teams of data modelers and analysts to create, optimize, and maintain logical and physical data models for databases, data warehouses, and other data systems. Their responsibilities include ensuring data quality, consistency, and compliance with industry standards, as well as collaborating with stakeholders to align data structures with business needs. Additionally, they often provide guidance on best practices and emerging trends in data modeling to ensure scalable and efficient data architectures.

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

To excel as a Data Modeling Director, you need deep expertise in data architecture, data modeling methodologies (such as relational, dimensional, and NoSQL), and a strong background in computer science or a related field. Experience with data modeling tools (e.g., ERwin, PowerDesigner), database systems (SQL, Oracle, MongoDB), and relevant certifications like CDMP are highly valuable. Strong leadership, communication, and project management skills set standout professionals apart by enabling effective team collaboration and stakeholder engagement. These competencies ensure the design and management of robust, scalable data structures that support organizational objectives and informed decision-making.

What are some common challenges faced by a Data Modeling Director when managing cross-functional teams?

As a Data Modeling Director, a key challenge is ensuring alignment across cross-functional teams such as data engineering, business analytics, and IT. Different teams may have varying priorities, technical backgrounds, and understandings of data requirements, which can lead to miscommunication or conflicting objectives. To address this, the director must foster clear communication, establish standardized data modeling practices, and facilitate regular collaboration to ensure that data models meet both technical and business needs. Balancing technical accuracy with business relevance is essential for successful project outcomes.
More about Data Modeling Director jobs
What cities are hiring for Data Modeling Director jobs? Cities with the most Data Modeling Director job openings:
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Data Modeling Director jobs near you
Infographic showing various Data Modeling Director job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.
Senior Manager, Advanced Data Analytics, Semantic Data Modeling and Insights

Senior Manager, Advanced Data Analytics, Semantic Data Modeling and Insights

Fidelity Investments

Merrimack, NH • On-site

Full-time

Posted 20 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description

Job Description:

Please Note: We are unable to offer visa sponsorship for this role.

TheRole

Thesuccessful candidate will work on a team within the Retail Analytics Platform (RADP) product area,specifically,buildingAtScaledata models within ourAtScaleplatform on AWS. This would include working directly with our data consumers on use case data need requirementsthat would directly impact the semantic layer design and data modeling development against our Snowflake prepared and curated databases paying close attention to the granularity of the data to meet the use case needs.

Your direct engagement with the data consumers defines the standard metrics in support of the certification of metrics governance process, provides the consistency of data and supports both the development of certified dashboards on our Tableau AWS Platform, and our evolving AI capabilities around conversational analytics and agents.

The team highly values quality, efficient, performant semantic layer design and data model development and would have close collaboration with the BI Developer to ensure the best design of aggregates in support of the dashboard performance; being able to communicate to the consumers any trade-offs between performance and data needs. You will also contribute to the migration of theAtScaleplatform from the legacy installer version to the Kubernetes EKS version.

This is a hands-on, individual contributor role.

The Expertise and Skills You Bring

  • 5 years+ ofdemonstratedability in data analytics, data visualization, and business intelligence
  • The ideal candidate will have 2+ years' experience developingAtScalesemantic layers and BI Data Models
  • Experience with theAtScaleEKS developer version and/or Kubernetes EKS Core Skills a plus
  • 2+ years developing semantic layers and OLAP cubes (i.e., MS SSAS, Business Objects, etc.)required
  • Data modeling background preferred
  • Experience with connecting to and writing complex SQL against both cloud relational database technologies - ideally Snowflake
  • Track record of working with BI/Reporting toolsets including Tableau,PowerBIand/or other BI tools
  • Familiarity with using Tableau Desktop and Server technologiesan added plus
  • Must have strong consultative, analytical, and problem-solving skills
  • Ability to work with a variety of colleagues, including Product Owners and the Engineering community, to ensure the best dashboarding solutions are delivered
  • Full life-cyclemethodologyincluding change management processes and ensuring changes areproperly testedand migrated to production
  • Familiarity with working in an Agile development environment using tools like JIRA and Confluence
  • History of collaboration with Data Governance teams to catalog deployed business intelligence solutions
  • History of working directly with data consumers to understand value add for use case development as well as the consumers use cases for the data to drive requirements
  • Advanced degree and/or certification in relevant subject area (e.g., analytics, computer science, data science)
  • Exceptional verbal/written communication and presentation skills

The Team

The Retail Analytics Platforms product arearesideswithin the Customer Knowledge and Strategic Insights (CKSI) domain. CKSI delivers best in class AI, analytics, research, and data to Fidelity.

As anAtScaleDeveloperyou will collaborate with an existing team of passionate and hardworking cross-functional members within your team and across Fidelity's Wealth and Brokerage businesses.

RADPis responsible forfoundational and strategicanalytical data and business intelligenceassets widely used across multiple business lines to enable analytics, personalization, AI/ML, and digital experiences.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Data Analytics and Insights

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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