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Senior Data Governance Analyst

American Century Investments
Data GovernanceHybridFull-timeKansas City, MO

American Century Investments is hiring for the role of Senior Data Governance Analyst, Kansas City, MO (Hybrid). This is a Data Governance role in the governance, risk, and compliance field. Review the full details below and apply directly with American Century Investments.

Organization: American Century InvestmentsLocation: Kansas City, MOWorkplace: HybridFocus: Data GovernancePosted: Jul 31, 2026
American Century Investments is hiring for this Data Governance role in Kansas City, one of the metros GRC Careers tracks for governance, risk, and compliance hiring.

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 you a Data Governance Analyst passionate about making unstructured data trusted, compliant, and AI‑ready? In this role, you’ll partner with business and technology teams to support and help scale enterprise‑wide governance efforts that enable unstructured content to be safely leveraged for business operations, analytics, and AI. You’ll join our Enterprise Data Governance team and help support the design and scaling of governance programs and assist in implementing governance practices with a strong focus on unstructured metadata management, information lifecycle management, records and retention, security standards, cataloging, and stewardship enablement. You’ll work closely with structured data teams where needed to ensure consistent, end‑to‑end governance. Success in this role requires the ability to execute the data governance operating model, leverage governance tools to support automation, and contribute to solving business challenges such as content sprawl, data discoverability, sensitivity labeling, retention and disposition, legal hold, and regulatory compliance across unstructured data (e.g., documents, emails, chat content, PDFs, presentations, and images). You’ll collaborate with stakeholders to help translate governance concepts for business audiences and contribute to scalable solutions, with guidance from senior team members. 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. How You Will Make an Impact Data Governance & Unstructured Data Enablement Execute the firm’s data governance operating model by partnering with business and technology teams to implement enterprise policies and standards across unstructured data (primary focus) and structured data (secondary), including data used for AI and advanced analytics. Support and help monitor the rollout of unstructured data governance practices across key content repositories (e.g., SharePoint/Teams, file shares, and cloud content platforms), ensuring metadata quality, accurate classification and sensitivity labeling, retention readiness, and AI fitness. Ensure unstructured data complies with regulatory, legal, privacy, and records‑management requirements throughout the information lifecycle. Support governance oversight activities for Data Domain teams, including review of data maps, content inventories, metadata documentation, data quality issues, access and security controls, SLAs, and audit, retention, and legal‑hold readiness. Partner with Data Owners, Data Stewards, and technology teams to support the design and implementation of workflows, dashboards, and automation for unstructured data classification, metadata generation, retention controls, access governance, and eDiscovery readiness. Support governance enablement through training by partnering with HR Learning & Development to curate and deliver Data Governance, Data Stewardship, and tool‑specific education. Support Collibra administration and help drive user adoption, including assisting with training and onboarding users, and promoting consistent, effective use of governance tooling. Collaborate with governance technology vendors and support discussions on roadmap enhancements related to unstructured metadata, classification, lineage, and policy enforcement. Support the management and maintenance of internal data products, including unstructured content repositories and AI‑ready metadata assets (e.g., taxonomies, labels, ownership, and classification outputs), coordinating with structured data teams when shared reference data is required. Unstructured Data & AI‑Ready Enablement Partner with data platform and cloud engineering teams to contribute to defining governance guardrails for AWS‑based processes that automatically extract, enrich, and register unstructured metadata to support AI‑ready data. Support efforts to ensure governance standards are embedded into automated pipelines for classification, lineage, retention, and access controls are embedded into automated unstructured metadata pipelines by design. Support the enablement of trusted use of unstructured data in AI, analytics, and retrieval‑augmented generation (RAG) solutions by ensuring data is discoverable, governed, and approved through appropriate stewardship workflows. Collaborate with AI, analytics, and data product teams to align unstructured data governance with AI intake, risk assessment, and inventory processes, ensuring clear traceability between data assets, use cases, and controls. Assist in translating AI‑ready data requirements into scalable, repeatable governance patterns that can be consistently applied across domains and development teams. What You Bring to the Team (Required) Bachelor’s degree or equivalent combination of educatio

Location and market context

This role is based in Kansas City on-site. Local candidates benefit from being close to American Century Investments's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.

About data governance roles

Data governance establishes ownership, quality, and controls over data as an asset. It is foundational to trustworthy analytics and AI, spanning cataloging, lineage, and access. Roles like this one are typically evaluated against frameworks such as data management frameworks, data quality and lineage standards, and privacy and security controls.

How to position yourself for this data governance role

Strong candidates emphasize data ownership and stewardship, quality and lineage, catalog and access controls, and enabling analytics and AI on a trusted data foundation. In your resume and outreach, tie your experience to how American Century Investments would apply data management frameworks, data quality and lineage standards, and privacy and security controls, and lead with concrete outcomes rather than duties.

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