Position Description
Oversees data lineage, metadata management, and semantic consistency across domains. Establishes and enforces scalable, enterprise‑wide modeling methodologies that ensure consistency, quality, and compliance across all data domains. Drives adoption of best practices for conceptual, logical, and physical data models across transactional, analytical, and cloud-native platforms. Influences data architecture decisions to support scalability, interoperability, and business agility. Leads the design of complex data models for multi-platform environments (Snowflake, Oracle, and AWS). Partners with engineering and governance teams to validate that models meet enterprise standards for data quality, accessibility, security, and regulatory alignment.
Primary Responsibilities
•Translates and incorporates business vision and strategy to data architectural strategy recommendations at the functional level.
•Participates in high-level, cross-functional data architecture design teams.
•Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
•Consults on development and delivery of major technology initiatives for the business unit.
•Consults on deployment of major project deliverables.
•Consults on the documentation of major technology applications.
•Oversees the technical implementation of cross-divisional or company data architectural components.
•Initiates and drives project or strategy discussions with users or external groups to resolve issues.
•Sets vision, goals, and direction of team/organization.
•Plans and leads organization-wide initiatives.
•Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
•Advises senior management on technical strategy.
•Researches and recommends new technologies.
•Works across groups to identify opportunities for organization-wide technology initiatives.
•Regularly provides guidance, training, and coaching to other team members for performance and career development.
•Identifies and plans for future resource needs.
•Determines technical approaches at a strategic level for the business unit.
•Advises on risk assessment and risk management strategies for projects.
Education and Experience
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, Business Administration, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Modeling (or closely related occupation) performing data modeling and analysis on relational databases using SQL and SAP Power Designer or ERWIN.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, Business Administration, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Modeling (or closely related occupation) performing data modeling and analysis on relational databases using SQL and SAP Power Designer or ERWIN.
Skills and Knowledge
Candidate must also possess:
•Demonstrated expertise creating enterprise data lakes used for analytics, Artificial Intelligence (AI), and Machine Learning (ML) capabilities on Cloud and On-Prem 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 Based Table/View data modeling techniques to create conceptual, logical, and physical models according to standards, taxonomy, and best practices, using data modeling tools – Erwin and SAP Power Designer – in an analytics data warehouse environment in Snowflake, Oracle, and SQL Server.
•Demonstrated expertise building source-to-target mapping documents, profiling, mining, specifying, extracting, cleansing, and analyzing large data warehouses, using SQL Developer, Toad, and Python; generating insights for business and end users using SQL reports; writing SQL/PL-SQL queries and views against the database (SQL Server/Oracle) and generating reports; and modifying existing SQL queries to improve query performance.
•Demonstrated expertise generating DDL scripts (Forward-engineer) and DML scripts to create and update physical databases; and performing reverse-engineering of system databases to create additional external tables and columns to gather data requirements from the source databases.
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.
Fidelity will not provide immigration sponsorship for this position.
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.
