Top Senior Data Management Jobs in Buffalo, NY

Lead development and implementation of data governance strategies, manage client accounts and teams, mentor staff, ensure quality and compliance, analyze data to inform decisions, and improve data management processes.

Lead design and implementation of healthcare data architecture and integration solutions, mentor teams, engage stakeholders, ensure compliance (HIPAA/PHI), apply GenAI and analytics to improve health system operations, and drive strategic data management and quality reporting initiatives.

Lead development and execution of data-driven strategies, manage project timelines and team performance, analyze complex datasets to deliver actionable insights, implement modern cloud data architectures and governance, mentor and coach team members, and ensure quality, ethics, and innovation in data and analytics engagements for clients.

Lead design and delivery of data engineering solutions for clients: build and maintain ETL pipelines and architectures, apply AWS/Redshift, DataStage, SQL Server and DB2, implement BI visualizations, coach teams, engage stakeholders, validate outcomes, and optimize managed-service performance under SLAs.

Lead design and implementation of data architecture, data models, ETL/ELT pipelines, data warehouses and lakes. Ensure data governance, security, pipeline reliability and cost/performance optimization. Coach and manage team members, partner with stakeholders to translate business requirements, and evaluate/adopt cloud data technologies across AWS, Azure, and GCP.

Lead data engineering projects, design and maintain ETL/ELT pipelines and architectures, implement analytics solutions using cloud and BI tools, mentor and manage teams, engage stakeholders to improve data usage, and ensure project delivery and technical standards.

Lead design and implementation of data architecture and cloud-based data platforms. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and coach diverse teams to deliver scalable data solutions.

Lead development and execution of data governance strategies, supervise and mentor teams, manage client accounts and deliverables, analyze data to inform business decisions, ensure compliance with firm standards, and identify improvements to data management processes.

Lead development and execution of data-driven strategies, manage and mentor a data analytics team, oversee project planning and delivery, analyze complex datasets to produce actionable insights, implement cloud data architectures, and support data governance and continuous improvement.

Lead design and delivery of cloud-based data architecture, data models, ETL/ELT pipelines, data warehouses/lakes, and data security. Manage projects, mentor team members, ensure governance compliance, collaborate with stakeholders, and optimize cloud infrastructure for performance, cost, and scalability.

Lead design and implementation of data architecture and cloud-based data engineering solutions. Manage large projects, translate stakeholder requirements into technical designs, ensure data governance and security, develop data models and pipelines, advise clients strategically, and coach teams to deliver operational excellence.

Lead and scale enterprise data governance operations: manage the data domain model and business glossary, run governance council operations, enforce data policies and compliance (SOC 2, GDPR/CCPA), drive catalog adoption and data literacy, and measure governance maturity and ROI through dashboards and remediation workflows.

Oversee data ingestion and transformation, manage finance data sources, ensure scalability and reliability of data platforms, and collaborate with stakeholders to align data engineering with organizational goals.

Lead and manage a team of data engineers to develop and maintain data pipelines and warehouses, ensuring data quality and adherence to best practices.

Lead design and build of ETL pipelines and Gold Layer tables in Databricks; develop semantic layers, data dictionaries, and AI-ready documentation; create dashboards and ad-hoc analyses to surface marketing and sales KPIs; partner with stakeholders to translate requirements into analytics-ready datasets and enable self-serve BI and agentic AI workflows.

Lead EHS data strategy by designing, building, and maintaining scalable data pipelines, models, and governance. Integrate multi-source EHS data into centralized platforms, implement quality checks, develop Power BI dashboards, produce analytics and predictive insights, and collaborate with IT to support cloud data architecture and automation to improve EHS reporting and risk management.

Lead a Salesforce data engineering team to design, deliver, and support Salesforce-to-Salesforce integrations and migrations, data modeling, ETL/transformations, automation, and observability. Manage hiring, performance, and career development; partner with stakeholders; adopt AI/LLM agent tooling to automate workflows and improve data quality; reduce technical debt and document systems and processes.

Lead a hands-on data engineering team to build and scale production data pipelines, datasets, and observability for alternative-data products. Drive architecture, data modeling, QA, and AI-ready dataset design while coaching engineers, partnering with product and research, and owning operational excellence across Databricks, Airflow, SQL, and PySpark.

Manage CVS Health's data partnerships and monetization strategy, source new partnerships, ensure operational success, and drive data product adoption across analytics teams.

Serve as the analytics bridge between marketing/operations and data teams: translate business questions and KPIs into clear product requirements, own delivery of treated tables, semantic layers, reports and dashboards, align stakeholders on a single source of truth, run gap analyses, document processes, and ensure delivered data products drive decision-making and adoption.

Lead enterprise data strategy and governance, build AI-ready data infrastructure and BI systems, own SharePoint platform, partner cross-functionally to ensure data quality, access, compliance, and user adoption.

Lead end-to-end data migration strategy and execution for complex franchise partners—perform discovery, map legacy data, troubleshoot imports, align stakeholders, and build scalable playbooks to standardize data delivery and ensure seamless platform transitions.

Manage day-to-day execution of regional assessment builds and readiness operations in Renaissance (Illuminate) DnA, maintain data quality and compliance, coordinate vendor data collection, develop documentation and training, support regional stakeholders, and continuously improve assessment and data workflows to ensure timely, accurate reporting.

Lead and develop a team delivering enterprise data engineering, analytics, and governance. Oversee data pipelines, ETL/ELT, cloud platforms, integration services, and stakeholder engagement to enable data-informed decision-making across the university system.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.