Director, Analytics Technology & Data Platforms

Fidelity Investments Inc.; Westlake (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Fidelity Investments Inc. seeks a Director of Analytics Technology within the WI Experimentation & Measurement team to scale analytics capabilities that enable data-driven decisions across the enterprise.

You will partner with Product, Marketing, Data Science, Analytics, and Tech leaders to deliver data solutions supporting experimentation, personalization, and AI/ML initiatives, while mentoring team members and advancing engineering best practices.

Qualifications

• Bachelor's degree in CS/Engineering/IS or related field.
• 10+ years in data engineering, analytics engineering, or data warehousing.
• Strong SQL skills and experience with Snowflake/Oracle.
• Experience building scalable data models and analytics solutions.
• Proficiency in Python and modern data processing frameworks.
• Experience with cloud-native solutions on AWS.
• Knowledge of ETL/ELT pipelines and orchestration (e.g., Airflow, Control-M).

Responsibilities

• Lead design and optimization of scalable data models, data products, and measurement solutions for experimentation.
• Translate requirements into robust data architectures and pipelines.
• Collaborate with product, data science, analytics, and engineering leaders to deliver enterprise data solutions.
• Develop ETL/ELT frameworks and cloud-based data transformations.
• Establish data quality, governance, lineage, and documentation standards.

Skills

SQL proficiency

Python

Data modeling

Stakeholder communication

Mentoring

Education

Bachelor's degree in Computer Science/Engineering/IS

Tools

Snowflake

Oracle

Power BI

Tableau

GitHub

Jenkins

Control-M

Alation

AWS

Job description

Fidelity Investments Inc. seeks a Director of Analytics Technology within the WI Experimentation & Measurement team to scale analytics capabilities that enable data-driven decisions across the enterprise.

You will partner with Product, Marketing, Data Science, Analytics, and Tech leaders to deliver data solutions supporting experimentation, personalization, and AI/ML initiatives, while mentoring team members and advancing engineering best practices.