Senior Data Quality Specialist

American Century InvestmentsKansas City, MO
Hybrid

About The Position

ACI is seeking an experienced Senior Data Quality Specialist to join our high‑performing Data Management team. This role is ideal for someone with a strong background in data quality rule development, cloud‑based implementations, and analytical problem‑solving who enjoys building scalable, automated solutions. This role reports to the IT Manager, Software Engineering. This hybrid position will be based out of our Kansas City, MO 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.

Requirements

  • Bachelor’s degree in Computer Science, Management Information Systems, or a related field.
  • 6+ years of experience in software development, data management, or data quality–focused roles, including experience operating in a senior or lead capacity.
  • Strong hands‑on experience with SQL, data analysis, and data quality automation.
  • Proficiency with Alteryx and Tableau.
  • Highly analytical, detail‑oriented, and comfortable working with complex data sets.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively across all levels of the organization.
  • Self‑directed, adaptable, and motivated to continuously learn new technologies and grow subject‑matter expertise.
  • Experience working in Agile environments and building strong cross‑functional relationships.
  • Demonstrates the American Century Investments Winning Behaviors: Client Focused, Courageous and Accountable, Collaborative, Curious and Adaptable, Competitively Driven.

Nice To Haves

  • Master's degree in a relevant field.
  • Experience with Python.
  • Exposure to AWS cloud‑native services, particularly in cloud‑based data quality implementations.
  • Familiarity with Glue ETL or other BI tools.

Responsibilities

  • Work proficiently with AWS cloud technologies and lead data quality (DQ) cloud implementations.
  • Use automated tools like Alteryx and Python scripts to extract data from primary and secondary sources.
  • Lead data quality (DQ) cloud implementations using AWS, delivering end‑to‑end DQ solutions from design through execution.
  • Design and build a robust data quality platform leveraging tools such as Alteryx and Tableau, supporting automated reconciliations, data profiling, metrics, and dashboards.
  • Use automated tools and scripting (Alteryx, Python, SQL) to extract, analyze, and validate data from multiple sources.
  • Proactively identify, analyze, and resolve data quality issues by reviewing reports, KPIs, patterns, and trends to ensure data accuracy and reliability.
  • Apply analytical and predictive techniques to diagnose and anticipate data quality risks.
  • Prepare clear, actionable analyses and reports for leadership and stakeholders, translating complex data insights into informed business decisions.
  • Partner closely with engineers, programmers, and business leaders to drive process improvements, system enhancements, and data governance practices.

Benefits

  • Competitive compensation package with bonus plan
  • Generous PTO and competitive benefits
  • 401k with 5% company match plus annual performance-based discretionary contribution
  • Tuition reimbursement
  • formal mentorship program
  • live and online learning
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