Director, Analytics Technology & AI Enablement

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

Job summary

Fidelity is seeking a Director, Analytics Technology to join the Workplace Investing Technology organization. You will lead the design and delivery of scalable data models, data products, and measurement solutions that enable experimentation and personalization across the enterprise.

You will partner with Product, Marketing, Data Science, Analytics, and Technology leaders to implement enterprise-grade data solutions in AWS, Snowflake, and BI platforms.

Qualifications

• 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.
• Strong experience designing and implementing scalable data models and analytics solutions.
• Hands-on experience with Python and modern data processing frameworks.
• Deep understanding of data warehousing, dimensional modeling, and analytical data architectures.
• Experience developing cloud-native data solutions within AWS environments.
• Experience building and maintaining ETL/ELT pipelines and orchestration frameworks.
• Working Knowledge of business intelligence and visualization platforms such as Power BI and Tableau.
• Experience with CI/CD and DevOps practices leveraging tools such as GitHub, Jenkins, and automated deployment frameworks such as Control-M.
• Understanding of data governance, metadata management, data lineage, and data quality best practices.
• Strong analytical, problem-solving, and solution design capabilities.
• Proven ability to influence stakeholders and communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience leading, mentoring, and developing technical talent.

Responsibilities

• Lead the design, development, and optimization of scalable data models, data products, and measurement solutions that support experimentation and personalization initiatives.
• Translate business and measurement requirements into robust data architectures, data pipelines, and reusable analytics assets.
• Partner with architects, technical leads, product managers, data scientists, and analytics teams to define and implement enterprise-grade data solutions.
• Build and maintain modern ETL/ELT frameworks and scalable data transformation processes in cloud environments.
• Develop trusted data assets, views, and semantic layers that enable self-service analytics and advanced measurement capabilities.
• Establish and enforce data quality, governance, lineage, and documentation standards using tools such as Alation.
• Drive performance optimization across databases, queries, pipelines, and data models to improve scalability and reliability.
• Support the development of experimentation and measurement frameworks that enable faster learning and more effective business decisions.
• Champion engineering best practices including CI/CD, DevOps, testing, observability, and automation.
• Mentor and develop members of the team while fostering a culture of continuous improvement, innovation, and technical excellence.
• Identify opportunities to leverage AI-powered engineering and developer productivity tools to accelerate delivery and improve solution quality.

Skills

SQL proficiency

Data modeling

Data warehousing

Analytics engineering

Leadership

Mentoring

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Tools

Snowflake

Oracle

Python

Power BI

Tableau

GitHub

Jenkins

Control-M

AWS

ETL/ELT pipelines

Job description

Fidelity is seeking a Director, Analytics Technology to join the Workplace Investing Technology organization. You will lead the design and delivery of scalable data models, data products, and measurement solutions that enable experimentation and personalization across the enterprise.

You will partner with Product, Marketing, Data Science, Analytics, and Technology leaders to implement enterprise-grade data solutions in AWS, Snowflake, and BI platforms.