Director, Data Modeling

Fidelity•Westlake, TX

About The Position

The Director, Data Modeling oversees data lineage, metadata management, and semantic consistency across domains. The role establishes and enforces scalable, enterprise-wide modeling methodologies to ensure consistency, quality, and compliance across data domains; drives best practices for conceptual, logical, and physical data models across transactional, analytical, and cloud-native platforms; and influences data architecture decisions supporting scalability, interoperability, and business agility. It leads complex data-model design for multi-platform environments, including Snowflake, Oracle, and AWS, and partners with engineering and governance teams to ensure models meet enterprise standards for data quality, accessibility, security, and regulatory alignment. The role translates business vision and strategy into data-architecture recommendations, participates in cross-functional architecture design, consults on major technology initiatives and deliverables, and oversees implementation of cross-divisional or company data-architecture components. It provides strategic technical leadership to multiple teams, advises senior management, drives organization-wide initiatives, researches technologies, and supports team members’ performance and career development. The position requires a bachelor’s degree in a related field and six years of relevant experience, or a master’s degree in a related field and four years of relevant experience. The experience must include data modeling and analysis on relational databases using SQL and SAP Power Designer or ERWIN. Fidelity will not provide immigration sponsorship for this position.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, Business Administration, or a closely related field (or foreign education equivalent), plus six years of relevant experience; alternatively, a master’s degree in one of these fields (or foreign education equivalent), plus four years of relevant experience.
Relevant experience performing data modeling and analysis on relational databases using SQL and SAP Power Designer or ERWIN.
Demonstrated expertise creating enterprise data lakes for analytics, AI, and ML on cloud and on-premises platforms using big-data processing techniques and solutions.
Demonstrated expertise designing complex dimensional and relational databases using Ralph Kimball (Star and Snowflake), Bill Inmon Data Vault Design, and denormalized analytical table/view modeling techniques.
Experience creating conceptual, logical, and physical models according to standards, taxonomy, and best practices using Erwin and SAP Power Designer in analytics data warehouse environments including Snowflake, Oracle, and SQL Server.
Demonstrated expertise building source-to-target mapping documents and profiling, mining, specifying, extracting, cleansing, and analyzing large data warehouses using SQL Developer, Toad, and Python.
Experience generating business and end-user insights using SQL reports; writing SQL/PL-SQL queries and views against SQL Server and Oracle databases; generating reports; and modifying SQL queries to improve performance.
Demonstrated expertise generating DDL (forward-engineering) and DML scripts to create and update physical databases, and reverse-engineering system databases to create additional external tables and columns and gather source-database requirements.

Responsibilities

Translate business vision and strategy into data-architecture strategy recommendations at the functional level.
Participate in high-level, cross-functional data-architecture design teams.
Identify and consult internal and external technical resources to produce cross-company strategic designs.
Consult on the development and delivery of major technology initiatives for the business unit.
Consult on deployment of major project deliverables and documentation of major technology applications.
Oversee technical implementation of cross-divisional or company data-architecture components.
Initiate and drive project or strategy discussions with users or external groups to resolve issues.
Set the vision, goals, and direction of the team or organization; plan and lead organization-wide initiatives.
Provide leadership, technical supervision, and expertise to multiple teams on complex, organization-wide projects.
Advise senior management on technical strategy and advise on project risk assessment and management strategies.
Research and recommend new technologies, and work across groups to identify opportunities for organization-wide technology initiatives.
Provide guidance, training, and coaching to team members for performance and career development.
Identify and plan for future resource needs and determine strategic technical approaches for the business unit.
Establish and enforce enterprise-wide data-modeling methodologies and best practices.
Lead complex data-model design across multi-platform environments and partner with engineering and governance teams to validate enterprise standards.