Top Senior Data & Analytics Jobs

Builds and maintains production-grade ETL/ELT pipelines across legacy on-premise systems and AWS/Azure cloud platforms, centralizing data in Snowflake for analytics, machine learning, feature stores, and generative AI. Develops vectorization and embedding pipelines, optimizes Snowflake performance and cloud costs, manages cross-platform orchestration, and implements data quality and observability frameworks. Partners with IT, security, MLOps, data science, and infrastructure teams to deliver scalable, governed data solutions.

Leads a team delivering enterprise data products using Snowflake, dbt, SQL, and Azure. Designs transformation and dimensional modeling layers, establishes engineering and quality standards, embeds testing into CI/CD, optimizes Snowflake performance and costs, and applies governed AI-assisted development. Manages delivery priorities, partners across data and business teams, hires and develops employees, and ensures auditability, governance, and SOX compliance in a regulated banking environment.

Supports Global Distribution by monitoring industry and competitor activity, analyzing investment, performance, fee, flow, and market data, and developing competitive positioning insights. Prepares executive and governance reporting, advises senior sales and business stakeholders, contributes to product and pricing strategy, and partners cross-functionally on growth decisions. Improves and automates research and reporting workflows using approved AI tools while maintaining confidentiality, controls, and compliance.

Designs and enhances analytics solutions for inbound logistics and customs compliance. Transforms operational data into trusted datasets, dashboards, reports, visualizations, automated pipelines, and workflows. Partners with logistics, transportation, customs, finance, IT, and supply chain stakeholders to improve visibility, data quality, reporting standards, process efficiency, and decision-making. Leads analytics projects, supports executive reporting, promotes self-service analytics adoption, and evaluates emerging technologies including AI.

Leads enterprise business intelligence and data analytics for a U.S. Combatant Command program. Develops Power BI architectures, dashboards, data models, pipelines, KPIs, and reporting products for leadership decision-making. Establishes data governance, quality, provenance, metadata, access controls, and authoritative data sources across classified and unclassified environments. Translates stakeholder decision needs into analytic requirements, evaluates knowledge-management initiatives, supports AI and machine-learning capabilities, documents solutions, trains users, and mentors analysts.

Develop and maintain Tableau dashboards, analyze HR and workforce data using SQL, and translate findings into actionable stories for executives and business leaders. The role defines HR metrics and reporting frameworks, supports data architecture and warehousing practices, collaborates on data pipelines, and ensures HR data accuracy, governance, integrity, and privacy. It partners with HR, Finance, IT, data engineering, and other stakeholders to improve workforce strategy, operational efficiency, and employee experience.

Operationalize and manage enterprise governance across AI, automation, data, analytics, and product investments. Own policies, standards, exceptions, committee operations, maturity tracking, stakeholder requirements, business cases, data catalog and lineage tools, risk scoring, security controls, training, and leadership reporting. The role requires business analysis, data governance, AI risk assessment, regulatory awareness, requirements translation, Agile delivery, and collaboration with technical and non-technical stakeholders.

Lead enterprise marketing measurement strategy, govern data collection and BI tooling, ensure HIPAA-compliant analytics, build dashboards and attribution models, enable analytics literacy, manage vendors, and deliver decision-ready insights to senior leadership across university units.

Leads the data platform strategy, infrastructure, operations, and continuous improvement programs. Manages data engineers, provides technical guidance through design and code reviews, oversees data pipelines and incidents, drives observability and automation, coordinates enterprise AI and analytics initiatives, and manages team budgets and schedules. The role also supports data governance, platform technology selection, scalable solution design, and evolving team capabilities.

Operationalize and manage enterprise governance across AI, automation, data and analytics, and product investments. Own governance policies, exceptions, committee operations, maturity tracking, stakeholder requirements, risk scoring, data catalog and lineage processes, security and privacy controls, reporting, and user enablement. The role requires business analysis, data governance, AI risk assessment, regulatory awareness, Agile delivery, and collaboration with technical and non-technical stakeholders.