Top Senior Data Management Jobs

Lead and grow a data engineering team to build a trusted, fast, composable, and self-serve data platform. Define architecture and roadmap for ingestion, transformation, governance, and analytics; ensure reliability, observability, and security; partner cross-functionally with Product, Analytics, Security, and Engineering; be a hands-on player-coach delivering scalable data systems using Snowflake, dbt, and self-serve analytics.

Leads enterprise data management, governance, quality, lifecycle, metadata, stewardship, database, and repository activities. Develops data policies and standards, resolves complex data issues, oversees migration and integration efforts, ensures compliance and access controls, and improves data reliability across systems. Partners with executives, technical teams, analysts, cybersecurity, and compliance stakeholders while providing leadership to staff and preparing senior-management briefings. Requires expertise in SAS, SQL, AWS, and data-intensive domains, with medical or Military Health System data experience preferred.

Lead and develop data engineering leadership and teams to deliver scalable enterprise data products and platforms. Own product lifecycle, roadmap, and execution; design scalable pipelines and frameworks; enforce data quality, governance, and observability; partner with stakeholders to align data strategy to business outcomes; evaluate and implement modern data technologies; drive adoption and reliability across domains.

Leads enterprise data management, governance, quality, lifecycle, metadata, stewardship, database, and repository activities. Develops policies and standards, oversees data integrity and access, resolves complex data issues, supports migrations and integrations, and ensures compliance with security and contractual requirements. Partners with executives, technical teams, analysts, and stakeholders while providing leadership to data staff. Uses SAS, SQL, and AWS to manage and optimize large-scale data, preferably including Military Health System records.

Leads the marketing data team and develops analytics strategies for audience segmentation, campaign measurement, attribution, media mix modeling, and marketing performance optimization. Partners with Marketing, MarTech, and IT teams to maintain accurate data pipelines, ensure privacy compliance, evaluate vendors and technologies, and translate data into actionable business insights. Provides mentorship, team leadership, and strategic guidance to improve personalization, ROI, and analytics-driven decision-making.

Owns the enterprise data and analytics strategy, platforms, roadmap, governance, and delivery. Leads teams responsible for data engineering, reporting, visualization, advanced analytics, AI, low-code applications, and manufacturing IT. Partners with business, manufacturing, laboratory, quality, and IT stakeholders to deliver validated, secure, scalable solutions supporting biologics operations and digital transformation. Oversees vendors, governance, compliance, system integration, dashboards, data platforms, and continuous improvement while ensuring audit readiness and measurable business value.

Leads Tuff Shed’s enterprise business intelligence, analytics, reporting, and data engineering functions. Manages and develops the analytics team while contributing hands-on to data warehouses, semantic models, ETL/ELT processes, dashboards, reports, governance, and data quality initiatives. Partners with business and technology stakeholders to establish roadmaps, deliver executive reporting and KPIs, manage projects, support analytics platforms, and improve operational performance.

Leads LTK’s Data Engineering team, owning technical direction, architecture, pipelines, data products, governance, quality, reliability, and platform modernization. Manages and develops engineers, drives roadmaps and complex initiatives, partners with cross-functional stakeholders, and balances scalability, security, performance, cost, and business priorities. Establishes engineering standards, improves operational practices, manages risks and dependencies, and builds trusted, reusable data capabilities supporting analytics, reporting, products, and AI use cases.

Leads the enterprise Business Intelligence Systems team and oversees global implementation, governance, maintenance, and improvement of BI, analytics, AI, data management, and Microsoft Power Platform solutions. Manages team personnel, establishes standards, ensures data quality and security, supports self-service analytics, translates business needs into scalable solutions, and drives training, adoption, documentation, project delivery, and continuous process improvement.

Leads data engineering, data science, and AI/ML strategy for a media organization. Oversees Snowflake, AWS-based ETL and streaming pipelines, data warehouses, governance, analytics integrations, dashboards, experimentation, and AI initiatives. Builds and mentors teams while partnering with Product, Editorial, Engineering, and business stakeholders to deliver scalable data solutions and actionable insights.

Leads a team of 5–8 data engineers and analysts while remaining hands-on with Databricks and Azure data platforms. Owns scalable pipelines, Lakehouse architecture, data products, quality, governance, reliability, security, and cost management. Oversees hiring, coaching, performance, delivery prioritization, agile execution, production health, incident response, stakeholder communication, and cross-team collaboration. Helps shape global data engineering strategy, standards, technology adoption, and platform evolution.

Lead a quantitative modeling team to develop and govern credit underwriting, pricing, collections, and portfolio risk models. Collaborate with stakeholders on acquisition pricing, marketing optimization, M&A risk assessment, and model validation. Oversee model performance, governance, and implementation to support lending strategies and maximize profitability while minimizing credit losses.

Owns the Source-to-Pay data and analytics foundation, including master data, taxonomy, governance, quality, analytics products, automation, and AI readiness. Leads business requirements, operating models, executive dashboards, KPI frameworks, decision-support insights, and cross-functional platform enablement. Partners with Procurement, Finance, Legal, Risk, IT, and enterprise data teams to improve data reliability, controls, reporting, self-service analytics, and scalable automation.

Generate actionable customer and product insights by synthesizing large, complex datasets, developing hypotheses, conducting experimentation and analysis, and translating findings into strategic business decisions. Collaborate cross-functionally with analytics, engineering, data science, marketing, and product teams. Build dashboards and reports, identify trends and growth opportunities, communicate customer experience insights, and strengthen analytics capabilities across the organization.

Build and support production-grade Microsoft Fabric data products and pipelines across ingestion, transformation, lakehouse, warehouse, and curated layers. Implement reliable, restartable, and observable data solutions using medallion architecture, automated testing, governance, lineage, monitoring, CI/CD, and DataOps practices. Collaborate with architects, analytics, governance, application, and partner teams while documenting mappings, runbooks, controls, and operational procedures.

Leads Allegion’s Data & Analytics team, overseeing data warehouse and lakehouse architecture, Power BI semantic models, self-service BI, and data management services. Manages Analytics and Data Engineers while providing hands-on technical direction. Responsibilities include roadmap development, master data management, data lifecycle and archival solutions, stakeholder collaboration, code governance, process improvement, and team development.

Leads enterprise data governance across ERP, engineering, manufacturing, finance, and operations. Establishes governance policies, ownership models, standards, and data quality metrics; oversees master and reference data in SAP and Oracle; governs product, BOM, routing, specification, ECR, and ECO data; supports SOX compliance, audits, access controls, system integrations, and engineering software licensing data. Partners cross-functionally to resolve data issues and improve processes without direct authority.

Leads analytics initiatives, data modeling, executive dashboard development, KPI reporting, forecasting, predictive modeling, experimentation, and AI-assisted analytics. Partners with Marketing, Content, Product, Engineering, and leadership to translate complex data into strategic recommendations. Owns Sigma reporting, data definitions, downstream dbt models, and data quality efforts while mentoring junior analysts.

Lead definition, monitoring and reporting of Group financial crime KRIs and tolerances. Drive data quality, investigations and MI for AML, sanctions, fraud and CDD. Partner with technology and business units to maintain data infrastructure, implement automated reporting, enhance controls and deliver dashboards and governance across the organisation.

Lead analytics, reporting, and data warehouse strategy for Respiratory Health. Build KPI frameworks, oversee data governance and quality, translate business needs into scalable data solutions, drive advanced analytics/AI initiatives, and manage a high-performing BI and data enablement team while partnering with IT, Finance, and Operations.

Lead design and implementation of data infrastructure, pipelines, and warehouses using Azure Data Factory, Databricks, and Snowflake. Manage data modeling, quality, security, and analytics frameworks. Lead client accounts, mentor teams, and drive innovation to deliver data-driven business insights.

Lead and coach teams to design, code, test, and deliver software solutions driving digital transformation for tax clients. Translate requirements into technical specs, perform code reviews, troubleshoot complex issues, maintain client relationships, and promote innovation and systems thinking to validate outcomes and improve products.

Lead design and implementation of scalable data infrastructure, pipelines, and transformations using cloud platforms. Build and optimize data warehouses (Snowflake, Databricks), orchestrate workflows (Airflow, Hadoop), ensure data quality and security, and coach teams to deliver analytics solutions that drive tax practice insights and client outcomes.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

Leads client-focused data analytics initiatives within PwC’s Risk & Regulatory practice. Develops business intelligence, visualization, and advanced analytics solutions using Python, Oracle Business Intelligence, QlikView, and Spotfire. Builds stakeholder relationships, validates outcomes, drives process improvement, and applies systems thinking to solve complex business challenges. Oversees scalable deployments and coaches teams through ambiguous situations while delivering strategic insights and improved client performance.