Top Senior Data & Analytics Jobs in Kansas City, MO

Leads applied AI and health data architecture initiatives for payer clients. Designs cloud-native platforms, pipelines, data models, integrations, and modernization roadmaps across AWS, Azure, Databricks, and Snowflake. Oversees data quality, governance, anonymization, performance optimization, and legacy migrations while advising stakeholders on AI-ready architectures. Manages multi-team delivery, resolves technical issues, presents solution tradeoffs, and coaches practitioners.

Own supervisory data management and governance as a subject matter expert. Define data quality rules, metrics, monitoring, issue remediation, taxonomies, metadata, and cataloging practices. Partner with business, IT, and platform teams to improve data reliability, accessibility, lifecycle management, and future AI readiness. Translate business needs into technical requirements, facilitate adoption of governance practices, and communicate recommendations to technical and executive audiences.

Lead enterprise data platform and cloud migration initiatives using Azure. Build ELT and ETL pipelines, transform data for Power BI, migrate legacy workloads, develop cloud applications, optimize cloud costs, and implement security and automation best practices. Collaborate with architects, DevOps, AI/ML, security, and business teams; document solutions, lead modernization projects, conduct architectural reviews, and mentor junior engineers.

Own supervisory data quality and governance for Federal Reserve supervision platforms. Serve as the subject matter expert for examination data, define quality rules and monitoring metrics, resolve data issues, support metadata and data cataloging, and advance data lifecycle, policy, access management, and future AI-readiness initiatives. Partner with business, IT, and executive stakeholders while translating business needs into technical requirements and communicating data management concepts to diverse audiences.

Manage and support SQL Server, Oracle, Snowflake, and AWS PostgreSQL database environments. Responsibilities include protecting data integrity and security, performing change management, monitoring and tuning database performance, managing backups and recovery, and installing, configuring, maintaining, and upgrading database software. The role collaborates with users and technical teams to identify and mitigate database issues and prevent business disruptions.

Designs, builds, and evolves enterprise data lake and supporting AWS platforms across ingestion, storage, processing, integration, and governed consumption. Translates stakeholder needs into scalable architectures, develops reusable ingestion and deployment patterns, implements IAM and entitlement frameworks, and supports audits and control processes. Applies AWS DevOps, infrastructure as code, CI/CD, monitoring, and security practices. Provides technical leadership in Agile delivery, evaluates emerging technologies, and mentors junior developers.

Supervises Media Intelligence staff while producing client reports, QBRs, and ad-hoc analyses. Presents measurement findings, oversees workflow and deliverable quality, ensures data governance and privacy compliance, mentors analysts, and supports BI tool evaluation and process improvement. Requires advanced analytics, digital media measurement, BI platform, data visualization, and people-management expertise.

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.

Supports enterprise data governance for acquired-company integrations, including structured and unstructured data inventories, classification, ownership, retention, legal holds, quality, metadata, lineage, stewardship, and compliance documentation. The role partners with Legal, Privacy, Risk, Security, technology teams, and vendors to support migration, archival, modernization, analytics enablement, reporting, readiness metrics, and defensible disposal activities.

Supports data governance for acquired-company integration and transformation initiatives. Responsibilities include inventorying structured and unstructured data, documenting ownership, classification, retention, legal holds, privacy, quality, metadata, lineage, and stewardship requirements. The role maintains catalogs and glossaries, supports source-to-target mapping and reconciliation, prepares governance metrics and dashboards, and coordinates with business, technology, legal, privacy, risk, security, and implementation teams to ensure data is trustworthy, compliant, and ready for migration, archival, modernization, and analytics.