Director, Analytics Technology & Data Platforms

Fidelity Investments Inc.; Roanoke (TX); On-site; USD 180,000 - 230,000; Full time

Job summary

Fidelity Investments Inc. is seeking a Director of Analytics Technology to lead the Experimentation & Measurement practice within Workplace Investing Technology.

You will design and scale analytics capabilities, partner with Product, Marketing, Data Science, and Tech leaders, and drive data-driven decision making across the enterprise. As a senior member, you will mentor engineers, champion CI/CD and DevOps, and advance AI/ML initiatives, experimentation platforms, and measurement frameworks to

Qualifications

• Bachelor's degree in a technical field.
• 10+ years in data engineering analytics/warehousing.
• Advanced SQL and cloud DBs (Snowflake, Oracle).
• Strong data modeling and analytics design.
• Python and modern data processing tools.
• Cloud-native data solutions in AWS.
• ETL/ELT pipelines and orchestration.
• BI/visualization tools like Power BI/Tableau.

Responsibilities

• Design, develop, and optimize scalable data models and data products.
• Translate requirements into data architectures and pipelines.
• Partner with architects, PMs, data scientists, and analytics teams.
• Build ETL/ELT frameworks and data transformations in the cloud.
• Create trusted data assets and semantic layers for self-service analytics.
• Ensure data quality, governance, lineage, and documentation.

Skills

SQL

Python

Cloud AWS

Data modeling

ETL/ELT

CI/CD

Data governance

Snowflake

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

Power BI

Tableau

GitHub

Jenkins

Job description

Fidelity Investments Inc. is seeking a Director of Analytics Technology to lead the Experimentation & Measurement practice within Workplace Investing Technology.

You will design and scale analytics capabilities, partner with Product, Marketing, Data Science, and Tech leaders, and drive data-driven decision making across the enterprise. As a senior member, you will mentor engineers, champion CI/CD and DevOps, and advance AI/ML initiatives, experimentation platforms, and measurement frameworks to