Director, Analytics Technology

Fidelity Financial Services

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Westlake, TX
Posted
9 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $238k
$167k $300k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $195,000–$281,000.

Based on 240 similar postings.

Employer

About Fidelity Financial Services

Fidelity Investments is one of the largest financial services companies in the world, offering brokerage services, mutual funds, retirement planning, wealth management, and life insurance to individuals and institutions. Industry: Financial Services & Investment Management

Fidelity Financial Services currently has 112 open roles on FindRole.

Listed pay typically runs $107,000–$200,000 across 23 roles with salary data.

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At a glance

TL;DR · Director, Analytics Technology

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The Director, Analytics Technology joins the Workplace Investing Experimentation & Measurement team to build and scale best-in-class measurement and analytics capabilities. This role involves designing and delivering modern data solutions that support experimentation, personalization, and AI/ML initiatives. You will lead the development of scalable data models, ETL/ELT frameworks, and semantic layers to transform complex data into trusted assets. Key responsibilities include establishing data governance standards, optimizing database performance, and mentoring technical talent. Required skills include proficiency in SQL, Python, Snowflake, Oracle, and AWS, alongside experience with Power BI, Tableau, GitHub, Jenkins, and Control-M. You will solve technical problems related to data architecture and lineage to enable faster learning and data-driven decision making within a highly regulated financial services environment.

Skills

SQL Python Snowflake Oracle AWS ETL ELT CI/CD DevOps Power BI Tableau GitHub Jenkins Control-M Alation Data Warehousing Dimensional Modeling Machine Learning GenAI A/B Testing

What you'll do

  • Lead the design and optimization of scalable data models and measurement solutions for experimentation and personalization.
  • Translate business requirements into robust data architectures, pipelines, and reusable analytics assets.
  • Build and maintain modern ETL/ELT frameworks and scalable data transformation processes in cloud environments.
  • Develop trusted data assets and semantic layers to enable self-service analytics and advanced measurement.
  • Establish and enforce data quality, governance, lineage, and documentation standards using tools like Alation.
  • Drive performance optimization across databases, queries, pipelines, and data models to improve reliability.
  • Champion engineering best practices including CI/CD, DevOps, testing, observability, and automation.
  • Identify opportunities to leverage AI-powered engineering and developer productivity tools to accelerate delivery.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
  • 10+ years of experience in data engineering, analytics engineering, data warehousing, or related disciplines.
  • Advanced proficiency in SQL and experience with modern relational and cloud-based databases such as Snowflake and Oracle.
  • Hands-on experience with Python and modern data processing frameworks.
  • Experience developing cloud-native data solutions within AWS environments.
  • Experience with CI/CD and DevOps practices leveraging tools such as GitHub, Jenkins, and Control-M.
  • Experience supporting experimentation platforms, A/B testing, causal measurement, or test-and-learn programs (preferred).
  • Experience leveraging GenAI-enabled development tools and AI-assisted coding workflows (preferred).

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