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Manager, Data Engineering, AI-Ready Data Enablement
American Century Investments. Lead development and operations for an Enterprise Data Technology team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading data engineering initiatives, developing AI-ready data products, and implementing enterprise data platforms. Proficient in mentoring teams, optimizing data delivery processes, and ensuring data quality and governance.
Highest-signal resume keywords
Data Engineering SolutionsAI-Ready Data ProductsEnterprise Semantic LayerAWS Data ServicesAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonJavaScalaC#Data MovementSemantic ModelingData Pipeline DevelopmentData ArchitectureSQLRelational Databases
Soft Skills
MentoringTechnical LeadershipCollaborationProblem SolvingCommunication
Tools & Technologies
AWS S3AWS GlueAWS RedshiftAWS EMRGitTableau
Certifications & Qualifications
AWS Certification
Industry Keywords
Data EcosystemData GovernanceData QualityBusiness ContextEvent-Driven Design
Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudEC2JavaMicroservicesPythonScalaSDLCSQLTableau
About the role
Key responsibilities & impact- Lead development and operations for an Enterprise Data Technology team
- Provide technical guidance for data engineering, data platforms, and AI-ready data products
- Mentor and guide team members toward empowered delivery and growth
- Contribute to the evolution of a data-driven culture
- Work with IT and business data teams to enable self-service development and consumption of trusted, AI-ready data products
- Provide hands-on engineering guidance and contribute to technical design and architecture decisions
- Review engineering approaches and help solve complex data challenges
- Build and maintain an enterprise data ecosystem covering ingestion, storage, organization, and interfaces
- Develop scalable data engineering pipelines and data platforms
- Analyze business and technical requirements for data systems and applications
- Scope, estimate, and schedule project work
- Coordinate integration of IT policies, procedures, and development practices
- Identify and implement process improvements, including automation, data delivery optimization, and infrastructure redesign
- Research emerging data engineering, data platform, and semantic technologies
- Lead development of AI-ready data products enriched with metadata, business definitions, relationships, and context
- Build reusable semantic models and contribute to an enterprise semantic layer
- Partner with IT and business data teams on reusable engineering patterns, semantic modeling guidance, tooling, hands-on support, data quality, governance, and secure access
- Report to the Director - Data Technologies
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Management Information Systems, or related field of study, or equivalent relevant work experience
- 7+ years of progressive hands-on engineering implementing data engineering solutions and data platforms
- 2+ years of experience leading engineers through people management, technical leadership, or a combination of both
- Hands-on experience building AI-ready data products with semantic modeling, metadata, and business context
- Experience developing or implementing an enterprise semantic layer
- Experience partnering with IT and business data teams to enable self-service development of data products
- 5+ years of experience using SDLC and Agile
- 1–3 years of experience with AWS data services such as S3, Glue, Redshift, and EMR
- 3–5 years of demonstrated experience with data movement such as EMR and Glue
- 5+ years of validated programming experience with Python, Java, Scala, or C#
- 1–3 years of DevOps experience with Git, build, artifact/package management, and deployment automation
- Ability to work in a multifunctional team environment across business units, vendors, countries, and cultures
- Demonstrated American Century Investments Winning Behaviors
- Preferred: experience in SQL, relational databases, and data modeling
- Preferred: AWS Certification
- Preferred: experience designing, deploying, and supporting production cloud services in AWS, including EC2, EMR, and Glue
- Preferred: business, technical, and application architecture experience
- Preferred: event-driven design, APIs, microservices, and stateless/chaos architecture
- Preferred: experience with financial product datasets
- Preferred: familiarity with data discovery, analytics, and BI tools such as Tableau
- Must be authorized to work in the U.S. without visa sponsorship, now or in the future
Benefits
Comp & perks- 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
- Scheduled office attendance