Top Senior Data & Analytics Jobs in Cleveland, OH

Lead the definition and governance of enterprise data architecture and integration strategies. Design and optimize data warehouses, databases, and analytical environments; establish data modeling, metadata, and governance standards. Collaborate with stakeholders to enable data-driven decisions, evaluate emerging data technologies, and provide thought leadership and mentorship across teams.

Lead and govern enterprise data architecture, including conceptual/logical/physical models, data integration, and optimization of databases and warehouses. Establish standards for data modeling, metadata, governance, quality, security, and compliance. Advise stakeholders, evaluate emerging technologies, document architecture, and mentor staff while supporting strategic initiatives.

Lead a Supply Chain Analytics center of excellence to deliver analytics, BI reporting, data pipelines, and dashboards. Manage cross-functional projects, mentor analysts and contractors, define data improvement roadmaps, and enable data-driven supply chain planning decisions.

Senior leader responsible for strategy, architecture, and execution of enterprise data engineering. Build and lead a 10-15 person team, design scalable data platforms and pipelines (cloud-native), drive governance, ensure AI/ML-ready data, manage delivery, vendors, SLAs, and M&A integration.

Lead a data engineering team to design, build, operate, and optimize Snowflake and cloud data platforms, data pipelines, integrations, and reporting. Drive data quality, governance, compliance, vendor management, platform cost/performance optimization, and support continuous improvement across analytics and operational data services.

Lead customer analytics to reduce churn and drive upsell by building predictive models, customer health scores, and executive dashboards. Integrate data from Salesforce, Genesys, Pendo, and Qualtrics, ensure data governance, and partner with Customer Success, Product, Sales, and Finance to operationalize insights and influence strategy.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Lead advanced product analytics for a consumer product team by analyzing complex data, designing experiments, applying statistical and causal inference methods, developing metrics and reporting tools, and delivering actionable recommendations to cross-functional stakeholders and senior leadership. The role requires strong Python or R and SQL skills, product analytics experience, AI-assisted analytics proficiency, and the ability to influence product strategy.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Design, build, and maintain data lakes, data warehouses, and end-to-end data pipelines for a multi-tenant SaaS platform. Lead code and design reviews, write infrastructure-as-code, optimize performance and scalability, participate in data governance, mentor junior engineers, evaluate new technologies, automate tests, collaborate cross-functionally, and join on-call rotation to ensure reliable data delivery.