Top Data Management Jobs

Manages architecture, governance, security, and lifecycle administration for defense modeling and simulation datasets. Builds databases and ETL pipelines for synthetic and live-virtual-constructive environments, maintains VV&A data pedigree, enforces DoD data standards, and supports secure HPC integration. Collaborates with engineers, data scientists, and military stakeholders to deliver reliable data structures and automated pipelines for simulation, testing, and warfighter readiness.

Manages the design, reliability, security, and ongoing development of the enterprise data warehouse and integrations in SQL Server and Azure. Leads data architecture, Python automation, data quality, HIPAA-compliant processes, source-system connectivity, deployment standards, stakeholder delivery, and team growth. Partners across clinical, financial, payroll, and operational functions to deliver reliable data solutions.

Build and lead Inovalon’s third-party data governance program, including data asset inventory, licensing controls, contractual rights management, data intake and release governance, audit readiness, compliance monitoring, and KPI reporting. Partner with Legal, Privacy, Procurement, and business leaders to manage data usage, renewals, access revocation, disposition, and downstream obligations. Develop a governance team while applying expertise in healthcare data, HIPAA, de-identification, and data licensing.

Leads analytics and measurement strategies for digital products, customer experiences, clinical interventions, and pharmacy workflows. Translates business questions into KPIs, analytical plans, reporting solutions, and recommendations. Performs opportunity sizing, segmentation, journey analysis, data quality evaluation, revenue forecasting, and value tracking. Partners with product, data engineering, technology, and commercialization teams while communicating insights to senior stakeholders and improving automation and analytics practices.

Leads data strategy, analytics, visualization, reporting, governance, and knowledge-management initiatives supporting Army medical systems acquisition and program execution. Integrates and analyzes complex datasets, develops dashboards and predictive models, establishes data-quality practices, and communicates actionable recommendations to government leaders and cross-functional stakeholders. Supports data and document migration, executive briefings, logistics analysis, forecasting, and decision support.

Leads data collection, modeling, analysis, performance measurement, program evaluation, dashboards, reporting, and modernization initiatives for the VA Transition Assistance Program. Integrates quantitative and qualitative information from VA, military, Department of Labor, and other interagency sources to identify gaps, evaluate pilots, develop performance metrics, and provide actionable recommendations. Prepares executive briefings and coordinates analytics activities with government and program stakeholders.

Owns master data governance, quality, workflows, and platform administration across item, vendor, customer, and GL domains. Administers Profisee, including data models, match-merge rules, approval workflows, integrations, user access, and quality dashboards. Establishes standards, audits data, tracks KPIs, resolves discrepancies, coordinates functional data owners, manages vendor relationships, and trains key users. Partners with IT and business teams across manufacturing, supply chain, finance, sales, and engineering.

Manages the organization’s data systems, databases, pipelines, integrations, Salesforce environment, dashboards, and reporting infrastructure. Develops SQL queries, maintains ETL/ELT workflows, resolves data quality and integration issues, and supports agency-wide performance reporting. Establishes data governance and documentation standards, provides technical support and training, and collaborates with program teams and leadership on scalable systems, responsible AI use, privacy, security, and compliance.

Leads Garner’s Data Platform Engineering team, overseeing scalable healthcare data infrastructure, pipelines, abstractions, and distributed processing systems. Provides hands-on architectural guidance, establishes engineering standards, translates business requirements into technical roadmaps, and promotes AI-native development practices. The role includes hiring, mentoring, stakeholder management, design reviews, root cause analysis, and operational excellence while supporting rapid enterprise data growth.

Lead multiple data engineering scrum teams responsible for batch and streaming pipelines, governed data products, data quality, reliability, and enterprise reporting assets. Set technical direction, roadmap priorities, engineering standards, and delivery practices across Corporate Functions data. Partner with business, product, analytics, governance, and security stakeholders while recruiting, coaching, and developing engineers. Oversee Azure, Python, Spark, Kafka, CI/CD, observability, incident management, data governance, and cloud cost planning.

Lead the Underwriting Data Analyst team supporting pharmaceutical underwriting, pricing, sales, and client retention. Manage analysts, oversee data collection and quality, develop SQL, Python, and R infrastructure, create analyses and reporting, support pricing models, review analytical outputs, and coordinate cross-functional initiatives. Train team members, manage work queues, document processes, and provide subject-matter expertise on underwriting data and systems.

Leads analytics initiatives and develops reporting, dashboards, automation, data models, and AI-enabled solutions to support business decisions. Manages priorities, timelines, risks, and stakeholder relationships across projects while coaching an analytics team. Reviews solution quality, guides technical delivery, and identifies opportunities for self-service analytics and process improvement. Requires six or more years of analytics or business intelligence experience, leadership experience, and proficiency with platforms such as Power BI or Tableau.

Manages firmwide marketing data, project information, resumes, pursuit content, and digital assets across Deltek Vantagepoint, Unanet, and OpenAsset. Establishes data governance and quality-control processes, supports reporting and marketing systems improvements, and coordinates project photography from planning through licensing and archiving. Maintains website content and marketing materials while collaborating with marketing, business development, design, project, accounting, and enterprise data teams.

Leads analytics initiatives and manages a team of analytics professionals while delivering reports, dashboards, automation, data models, and AI-enabled solutions. Partners with stakeholders to define business needs, prioritize projects, manage risks, communicate progress, and drive adoption. Coaches team members, reviews solution quality, and improves efficiency through self-service analytics and modern tools. Requires substantial analytics experience, people or project leadership, and expertise with business intelligence platforms and semantic data models.

Supports the design, implementation, adoption, and operation of data governance capabilities for Fusion master data. Responsibilities include defining governance processes, roles, controls, workflows, KPIs, documentation, forums, training, stakeholder engagement, and BAU transition. The role facilitates collaboration among business and technology teams, supports Oracle EDM workflows, improves adoption and data quality, and guides data owners and stewards through governance processes.

Manage program data across MDA systems by establishing data governance, developing Integrated Data Management and Data Handling Plans, supporting data lifecycle (collection, validation, storage, dissemination, archival), ensuring integration and interoperability, defining test data requirements, supporting mission execution and data readiness for BI/AI/ML, performing data analysis to identify gaps, and maintaining metadata and data quality standards.

Manage program data across its lifecycle, including collection, validation, storage, dissemination, integration, and archival. Develop Python scripts and SQL queries for ETL automation, data profiling, discrepancy analysis, schema optimization, and archiving. Support data interoperability, mission data readiness, pre-test validation, post-mission turnaround, and preparation for business intelligence and AI/ML analytics. Collaborate with customers, data engineers, and DevOps teams.

Leads enterprise data governance operations and Cambia’s data platform governance, including stewardship, metadata, data quality, classification, lineage, and semantic-layer governance. Develops policies and standards, ensures regulatory compliance, improves processes, tracks KPIs, and builds AI-ready data foundations. Manages employees and contractors, partners with IT, Security, Compliance, Privacy, and business stakeholders, and executes strategic governance plans while contributing hands-on to technical deliverables.

Own customer analytics and data infrastructure across Shopify, CDP, CRM, and cloud data warehouse systems. Build segmentation, dashboards, retention and lifetime-value analyses, and predictive models using SQL and Python. Maintain data quality, identity resolution, governance, and audience activation while partnering with marketing, ecommerce, merchandising, and CRM teams. Present actionable customer insights and recommendations to technical and executive stakeholders.

Lead second-line oversight of Data Quality controls: build and run a control monitoring program, manage annual oversight planning, perform design and operating effectiveness assessments, enforce sampling and evidence standards in the firm GRC tool, provide MI and challenge first-line owners, and lead a small team to drive remediation and reporting to senior management.

Leads global commercial analytics and AI enablement for J&J MedTech’s Microsoft Dynamics 365 platform. Defines analytics strategies, requirements, data foundations, KPI standards, dashboards, and AI agent capabilities. Partners with regional analytics teams, business units, data product managers, engineers, and IT to standardize solutions, improve user experiences, and drive adoption. Guides self-service analytics, conversational insights, data quality, governance, and scalable commercial decision support across sales, marketing, customer service, and related operations.

Leads a 25–30-person Data Engineering organization delivering batch and streaming pipelines, lakehouse models, master data systems, and analytics modernization across multiple business domains. Sets technical strategy, oversees architecture and data quality, manages delivery priorities and production SLAs, and partners with platform, governance, and AI/ML teams. Mentors engineering leaders, drives legacy modernization, and communicates roadmaps, value, and progress to executive stakeholders.

Manages data and records for a Department of the Air Force battle-network division, including metadata, knowledge management, CDRLs, configuration and change control, audits, databases, data standards, cybersecurity compliance, and SharePoint administration. Produces reports, tracking tools, file plans, and analytical findings while supporting acquisition documentation, records management, database performance, backup and recovery, and SharePoint users.

Leads marketing measurement, forecasting, attribution, media mix modeling, and LTV/CAC analysis across D2C channels. Builds analytical infrastructure, evaluates channel performance, supports budget allocation, and conducts cohort and retention analysis. Partners with executives, marketing, finance, product, and data engineering to translate complex findings into actionable recommendations. The role also establishes reporting for new channels, supports scenario planning, and communicates insights that guide growth and investment decisions.

Manage and grow Ashby’s data analytics team while remaining hands-on with analytical work. The role includes hiring and coaching analysts, improving data practices, prioritizing requests, developing specialization, maintaining analytical quality, and guiding responsible AI adoption. The manager will work across raw and modeled data, dbt models, metric definitions, dashboards, and internal data products, partnering closely with business teams in a remote, high-growth B2B SaaS environment.