Data Governance Analyst

About the role

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 controlled 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 1,400 of us across 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 lead 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 design, scale, and enforce governance programs 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 automate controls, and solve real 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 influence stakeholders, translate governance concepts for business audiences, and design scalable solutions that stand up in complex, fast‑moving environments. 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. Lead and 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. Provide governance oversight of 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 design 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. Serve as a Collibra administrator, driving platform adoption, training users, and promoting consistent, effective use of governance tooling. Collaborate with governance technology vendors on roadmap enhancements related to unstructured metadata, classification, lineage, and policy enforcement. Manage 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 define governance guardrails for AWS‑based processes that automatically extract, enrich, and register unstructured metadata to support AI‑ready data. Ensure governance standards for classification, lineage, retention, and access controls are embedded into automated unstructured metadata pipelines by design. Enable tru

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