Top Senior Data Management Jobs

Leads data analytics projects that generate insights for strategic decision-making. Develops visualization solutions with Power BI and Tableau, builds data pipelines, applies statistical modeling and predictive analytics, and manages data integrity and security. Collaborates with clients on tailored data solutions while coaching analytical teams, managing accounts, overseeing project success, and identifying business opportunities.

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

Analyzes AML and KYC data, builds regulatory reporting dashboards, develops KPIs and KRIs, identifies compliance risks and trends, improves processes and reporting, and advises leadership and business units. The role manages complex datasets, supports AML program health analysis, collaborates across teams, and contributes to projects involving data quality, operational efficiency, and compliance risk management.

Manages analytics and reporting teams supporting financial and operational decisions. Oversees reporting consistency, process improvement, automation, data interpretation, quality initiatives, and strategic executive reporting. Leads team training, collaborates with departmental leaders, and partners with account teams to deliver client recommendations. Requires healthcare operations and claims-data expertise, supervisory experience, and proficiency with Excel, Access, VBA, Crystal Reports, T-SQL, SSMS, and SSRS.

Manage and maintain healthcare data assets, including medical and pharmacy claims, analytical datasets, integrations, metadata, and data quality processes. Build and validate complex SQL queries, coordinate with data suppliers and engineering teams, translate business requirements into data solutions, and support analytics, governance, documentation, and process improvement initiatives.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

The Senior Data Manager oversees configuration control, data management, deficiency reporting, requirements and document management, change control, baseline management, and full data lifecycle processes. The role develops data architectures, policies, and procedures; validates, protects, processes, and delivers enterprise data; and documents data flows, business rules, dependencies, and support procedures. It requires Python, SSIS, SQL, Databricks, relational database, and complex dataset experience in a remote environment.

Lead a team of data engineers responsible for building and operating reliable, scalable data pipelines and platform components. Own delivery, production operations, engineering standards, cost and performance optimization, technical debt, and regulatory compliance. Partner with product and data modeling leaders to deliver a governed data platform. Hire, coach, and develop engineers while ensuring strong practices in testing, monitoring, incident response, CI/CD, documentation, and secure infrastructure management.

Manage and develop a team of 4–6 analysts delivering customer reporting and analytics. Lead complex analyses, establish standards for rigor and reproducibility, oversee project delivery, present findings to stakeholders, and partner with Product and Engineering on measurement products and AI-enabled analytics tools. The role requires deep advertising measurement expertise, client-facing communication, dashboard development, and hands-on proficiency in SQL, Python, Excel, statistical methods, and analytics platforms.

Leads the development and operationalization of governed clinical and multi-omics data products for neuroscience research. Designs scalable data models, optimizes Nextflow pipelines across AWS S3, Snowflake, and TileDB, standardizes assay outputs, embeds FAIR principles and compliance, and delivers AI-ready datasets. Partners with architects, governance teams, AI/ML specialists, and data scientists while mentoring engineers and driving workflow standardization, quality, reproducibility, and pipeline optimization.

Leads data analysts, engineers, and scientists while overseeing analytics projects, resource allocation, governance, and delivery. Translates business priorities into scalable data strategies, advises senior leadership, and drives organization-wide data initiatives. Provides hands-on technical guidance across Python, AWS, Snowflake, dbt, AI-assisted engineering, data integration, and CI/CD. Establishes best practices for data quality, privacy, performance measurement, and continuous improvement while mentoring managers and technical teams.

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 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 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.

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 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.

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.

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.

Leads data operations professionals supporting an overhead imagery processing program. Oversees the preprocessing pipeline from satellite data acquisition through ingestion and storage, manages technical projects and teams, maintains government customer relationships, and ensures complex data pipelines operate reliably at scale. Requires experience with quantitative analysis, ETL, SQL/NoSQL databases, geospatial datasets, cloud architectures, and active TS/SCI clearance.

Leads compliance risk data analytics and testing strategy, plans and executes analytical projects, evaluates analytical tools, prototypes emerging practices, and translates technical findings for legal, compliance, risk, and executive stakeholders. The role also includes cross-functional partnership, written and verbal communication, and coaching and mentoring junior staff.

Leads and develops a technical analytics team supporting customer solutions, marketing, digital channels, products, services, voice of the customer, and contact center operations. Manages analytics delivery, team capacity, governance, quality, technical standards, and stakeholder partnerships. Translates complex findings into actionable recommendations and ensures solutions are reliable, scalable, adopted, and aligned with business outcomes. Builds analytics capabilities, coaches talent, and drives continuous improvement across platforms, architecture, data quality, and technical roadmaps.

Leads and grows a data engineering team, owning ingestion and pipeline architecture, technical roadmaps, delivery, team performance, and engineering rigor. Partners with analytics, data modeling, product, and business leaders to prioritize initiatives and ensure reliable, analytics-ready data. Provides architectural guidance across Azure Data Factory, Snowflake, API and file ingestion, while managing capacity, technical debt, incident response, and stakeholder communication.