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Manager, Data Engineering and AI- Data Enablement

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: American Century Investments
Full Time position
Listed on 2026-10-24
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below
Manager, Data Engineering and AI-Ready Data Enablement### Manager, Data Engineering and AI-Ready Data Enablement Apply:
Kansas City, Missouri:
Dallas, Texas:
Full time:
Posted Today:
R0005786
** About Us
** American Century Investments is a leading global asset manager with over 65 years of experience helping a broad base of clients achieve their financial goals. Our expertise spans global equities and fixed income, multi-asset strategies, ETFs, and private investments.  Privately owned and independent, we focus solely on investment management. But there’s an unexpected side to us, too. We direct 40% of our dividends every year—over $2 billion since 2000—to the Stowers Institute for Medical Research.

Our ongoing financial support drives the Institute’s breakthrough work and mission of defeating life-threatening diseases like cancer and Alzheimer’s. So, the better we do for our clients, the more we can do for everyone.  All who work here around the globe are inspired every day by the unique difference our hard work can make in so many lives. It shows in the curiosity we bring to every initiative, the deep relationships we build with our clients, and the way we treat each other in the hallway.

If you’re excited to learn more about us, we can’t wait to learn more about you.  
** Role Summary
** Are looking for an excellent opportunity to join a team of innovative engineers while also developing your skills and fostering your technology career? If yes, we have a
** Manager, Data Engineering and AI-Ready Data Enablement
** opportunity just for you!

In this role, you will lead development and operations for one of our Enterprise Data Technology teams, provide technical guidance for data engineering, data platforms, and AI-ready data products enriched with semantics and business context, mentor and guide your team to empowered delivery and growth, and contribute to our ongoing evolution to a Data Driven Culture. You will work closely with IT and business data teams to enable self-service development and consumption of trusted, AI-ready data products.

The focus is data engineering and data enablement, rather than machine learning model development or ML engineering.  This role reports to Director - Data Technologies.  This hybrid position may be based out of our Kansas City, Missouri or Southlake (DFW), Texas office.  This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without visa sponsorship, now or in the future.

** How You Will Make an Impact
*** This is a hands-on technical leadership role. The Manager will remain close to the technology, providing engineering guidance, contributing to technical design and architecture decisions, reviewing engineering approaches, and helping solve complex data challenges while leading and developing the team.
* Build and maintain an enterprise data ecosystem including ingestion, storage, organization, and interface, with scalable data engineering pipelines and data platforms that support trusted, AI-ready data products.
* Analyze the business and technical requirements for data systems and applications;
Scope, estimate, and schedule project work;
Coordinate the integration of IT policies, procedures and development practices.
* Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
* Research emerging data engineering, data platform, and semantic technologies to continuously improve the development and enablement of AI-ready data products.
* Lead the development of AI-ready data products enriched with metadata, business definitions, relationships, and context; build reusable semantic models and…
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