Senior Data Modeler

Gravity IT Resources

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The IT Senior Data Modeler will work with architects and analysts who are focused on accelerating the Digital Transformation and the adoption of a data-driven culture at a Fortune 200 Company by unlocking the maximum value of enterprise data assets.

Success in this role is defined through contributing to the larger organization by discovering, analyzing, and understanding different perspectives on data. The team will create and maintain artifacts to communicate concise and consistent data requirements from the business to IT, and within IT from analysts, modelers, and architects to database designers and API developers. The team will be measured on its ability to help the organization to understand its data assets and normalize variances to optimize business processes while ensuring data quality and consistency.

Essential Functions

Strategy & Planning

  • Actively engage with Enterprise Data and Insights and Enterprise Architects to define data strategies as part of an overall business strategy.
  • Understand end-to-end solutions and suggest data management solutions that will meet or exceed expectations of the customers.
  • Ensure that data designs meet business requirements and systems goals and identify and resolve data quality and consistency issues.
  • Understands how data supports business processes and how to find gaps in data or processes and then develop strategies for improving these systems.
  • Drive a culture of continuous process improvement.

Acquisition & Deployment

  • Analyze documentation and technical specifications of any new application under consideration to determine its data requirements.
  • Ensure that any new data integration into company systems meets functional requirements, system compliance, and interface specifications.
  • Contribute to discovery phase of development by evaluating proposals to identify potential data issues and make the appropriate recommendations.
  • Contribute to business cases, make recommendations, and define success factors for data enhancements.

Operational Management

  • Facilitate discussions among data stewards, data custodians, architects and developers to ensure business, data and IT needs align.
  • Maintain repositories for distributing data models including the entities, relationships and attributes, the information flows and business glossary.
  • Responsible for defining the data modeling processes including prioritization, attribute identification, validation, and publication.
  • Identify and support the tool chain needed to support modeling artifacts and deliverables.
  • Ensures data models and artifacts are consistently delivering value by defining and measuring key indicators.
  • Plan and organize tasks, report progress, manage and coordinate with cross-functional teams.
  • Facilitate meetings and follow up with resulting action items.
  • Track project deliverables and meet dedicated timelines.
  • Contribute to multiple projects, assignments, and priorities simultaneously.

Incidental Functions

  • Assist with projects as may be required to contribute to efficiency and effectiveness of the work.
  • Attend business partner and IT staff meetings where appropriate.
  • Attend meetings on behalf of the team.
  • Make presentations to management, partners, and peer groups as requested.
  • Train and share knowledge with development teams in cross functional capacities.

Position Requirements

Formal Education & Certification

  • Bachelor’s Degree (or foreign equivalent) or in lieu of a degree, at least 12 years in experience in the field of Information Technology or Business (work experience or a combination of education and work experience in the field of Information Technology or Business).

Knowledge & Experience

  • 7+ years IT or business analyst experience.
  • Excellent skills in relational, dimensional, and semantic data modeling practices.
  • Knowledge of common data modeling tools (LucidCharts, ERWIN or others).
  • Experience with data governance: business glossary, data standards, data catalog and data lineage.
  • Experience with data management: data engineering, data quality, metadata and master data management.
  • Experience establishing, maintaining and improving processes and standards.
  • Demonstrated ability to understand complex business relationships.
  • Strong ability to multi-task with several concurrent issues and projects.
  • Demonstrated ability to interact effectively with all levels of the organization.
  • Strong interpersonal, written and verbal communication skills.
  • Experience advising or mentoring others regarding data modeling and data mapping.
  • Exposure to API design and development is preferred
  • Strong business acumen in manufacturing, sales or financial verticals is preferred

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