Top Data Management Jobs

Leads enterprise analytics, reporting, data engineering, and data platform teams. Sets strategy, manages managers and technical teams, drives modernization and roadmap execution, and partners with business and technology leaders. Oversees scalable, secure, governed analytics solutions using Microsoft and Databricks technologies while establishing standards for data management, reporting, operational support, and self-service analytics. Also supports AI-enabled capabilities, vendor relationships, budgets, and high-performing team development.

Manages HR data, analytics, reporting, dashboards, pipelines, integrations, and automation. Supports compensation, performance management, workforce planning, HRIS maintenance, and employee listening initiatives. Builds data models and AI integrations, audits data integrity, develops actionable insights, and presents findings to HR and executive leadership. Requires strong compensation expertise, advanced Excel, HRIS and BI experience, scripting, data modeling, and handling confidential information.

Leads a team delivering curated, reusable, AI-ready data products for AbbVie’s R&D data platform. Oversees data curation, quality, modeling, metadata, governance, documentation, pipelines, Agile delivery, and issue resolution. Coordinates engineers, architects, platform teams, vendors, and stakeholders while managing priorities, dependencies, risks, and continuous improvement. Ensures data products meet business, scientific, security, compliance, and platform needs.

Lead validation of enterprise analytical tools: refine frameworks, plan and execute validation projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff while influencing business strategy.

The Manager of Data Analysis leads a team to leverage analytics for improving customer experience, driving strategy, and implementing data models. Responsibilities include data mining, process improvement, and project lifecycle management, all within a collaborative environment.

Manage and secure the organization's data operations: administer and optimize relational databases, maintain Tableau dashboards, lead offshore DBAs/analysts, ensure HIPAA-compliant backups/recovery, support ETL/data ingestion pipelines, automate routine tasks, and collaborate with developers and data engineers to improve performance and data integrity.

Leads a small team responsible for SQL Server data warehousing, ETL pipelines, outbound data feeds, and enterprise Power BI. Oversees platform operations, governance, reliability, and self-service BI adoption while helping establish a Databricks and Azure cloud data platform. The role drives data modeling, quality, security, Agile delivery, vendor management, and stakeholder partnerships, while applying AI tools to improve engineering and analytics workflows.

Leads a data engineering team responsible for designing, developing, testing, deploying, and maintaining scalable data products and platforms. Sets technical direction, manages team performance and development, establishes engineering standards, and oversees data quality, security, governance, and operational excellence. Partners with product owners, enterprise architecture, information security, data governance, and business stakeholders to deliver data solutions. Defines team strategy and roadmap, evaluates emerging technologies, and communicates metrics and progress to senior leadership.

Lead and grow a Business Intelligence team, partner with senior leaders to prioritize analytical initiatives, ensure analytic output quality, drive BI operating model evolution, adopt modern BI tooling and self-service, and embed AI-assisted methods to improve decision-making.

Manage and curate clinical, biospecimen, experimental, raw, and derived scientific data for a biomedical research laboratory. Maintain institutional and cloud data resources and scientific websites, support open science and FAIR principles, contribute to grants and manuscripts, train lab members, and attend scientific conferences. The role requires careful data management, collaboration with researchers and engineering staff, strong communication, and the ability to manage shifting priorities in an in-person academic environment.

Leads data analysis, reporting, performance evaluation, and dashboard development for federal transition assistance programs. Manages data integration, modeling, quantitative and qualitative analysis, program evaluations, executive reporting, and performance measurement. Translates complex data into actionable recommendations supporting operational effectiveness, strategic planning, modernization, and continuous improvement. Collaborates with government leaders, program managers, technical teams, and stakeholders. The role is remote with occasional travel for in-person meetings.

Leads public financial management data analysis, fund-flow and expenditure reconciliation, fiduciary risk assessment, and verification support in Uganda. Produces dashboards, exception reports, risk flags, and evidence summaries from financial, HRIS, and administrative data. Supervises and trains analysts and verification teams, coordinates with government and project stakeholders, maintains audit trails, and identifies issues requiring targeted field verification.

Manage data and analytics consulting projects, teams, stakeholders, and delivery phases from requirements through deployment. Lead hands-on SQL and Python development, data modeling, data warehouse design, and BI visualization using tools such as Tableau, Power BI, Snowflake, and Databricks. Facilitate client workshops and executive meetings, manage risks and budgets, ensure client satisfaction, and contribute to practice growth through mentoring, recruiting, and methodology development.

Lead design and rollout of a fit-for-purpose data governance program: manage data lifecycle, implement governance frameworks and tools, drive data catalogs/lineage, upskill stewards, define KPIs, and partner cross-functionally to improve data quality, compliance, and usability.

Leads enterprise analytics strategy, data integration, governance, reporting, dashboards, forecasting, and advanced business analysis. Manages analysts and partners with Sales, Pricing, Finance, Product Management, Operations, and executive leadership to translate complex data into actionable recommendations. Oversees Power BI dashboards, KPI frameworks, data quality, predictive modeling, and reporting automation to improve growth, profitability, pricing, and operational performance.

Leads R&D data stewardship across metadata, cataloging, data products, profiling, quality, governance, and compliance. Uses Informatica, SQL, Databricks, Python, and PySpark to curate data, automate workflows, define quality controls, and resolve complex issues. Applies AI-assisted stewardship and semantic data concepts while collaborating with technical and business stakeholders. Coaches other stewards, supports audit readiness, and improves stewardship standards and operating practices.

Leads and develops the data analytics team while owning the analytics strategy, roadmap, and self-service reporting capabilities. Designs Power BI dashboards, SSAS Tabular models, and SQL-based analytics solutions across enterprise data platforms. Partners with executives and stakeholders to translate data into actionable insights, improve governance, and promote data-driven decisions. Drives AI-augmented analytics initiatives involving Microsoft Fabric, Copilot, Azure OpenAI, predictive reporting, natural-language querying, and responsible AI practices.

Manage enterprise data lifecycle, governance, integration, repositories, metadata, quality controls, and interoperability. Review technical documentation for configuration control, traceability, and version management. Assess data structures and workflows, recommend improvements, maintain technical artifacts and reports, and communicate findings to technical and non-technical stakeholders. The role supports mission-focused engineering and operations teams in an onsite environment and requires a TS/SCI with Polygraph clearance.

Leads the architecture, implementation, and evolution of enterprise data platforms, including Master Data Management, data lakes, lakehouses, and cloud data services. Manages data engineers and developers, establishes engineering standards, oversees Azure-based integrations and pipelines, and owns data applications, databases, security, governance, and production support. The role also directs technical strategy, manages multiple initiatives, and communicates architecture and delivery plans to stakeholders.

Lead enterprise validation of analytical tools for the card business: design and execute validation projects, assess tool methodologies and risks, prototype best practices, communicate results, manage multiple projects, and mentor junior staff.

Leads a team building and improving scalable data products, pipelines, and processes supporting guest experiences. Translates business needs into engineering work, executes data product roadmaps, mentors engineers, establishes data and engineering standards, and supports data collection, onboarding, quality, security, and privacy. Collaborates with technical and business stakeholders in a matrixed organization while monitoring technology and consumer privacy trends.

Leads enterprise master data strategy, governance, quality, maintenance, documentation, and compliance. Manages data creation workflows, audits, cleansing, standardization, reporting, and process improvements while serving as a subject matter expert. Partners with business and technical teams on SAP PLM, SAP MDG, and other platform initiatives, oversees testing and implementation, and develops team members through coaching and leadership.

Leads enterprise Master Data Management operations across Customer, Vendor, Material, and Reference Data domains. Manages an MDM team, platform reliability, data models, match-merge and survivorship rules, golden records, hierarchies, stewardship workflows, governance integration, and cross-region harmonization. Partners with Data Engineering, Data Governance, and business stakeholders to deliver reliable, governed data for analytics, reporting, and AI. Oversees team development, performance, capacity planning, architecture reviews, and audit support.

Leads the Business Intelligence, reporting, analytics, and data governance functions. Manages and develops the BI team, oversees enterprise dashboards and KPI frameworks, ensures data quality and governance, delivers business insights, supports data integration and warehouse initiatives, and enables AI and advanced analytics. Partners with cross-functional leaders to transform enterprise data into actionable recommendations for operational, financial, sales, inventory, customer, and strategic decision-making.

Leads and develops product, marketing, and data analysts while overseeing analytics strategy, prioritization, technical standards, experimentation, reporting, and data quality. Partners with Product, Marketing, Finance, Engineering, and recruiting to deliver trusted insights, scalable self-service analytics, and team growth. Requires strong SQL and Python skills, modern data-tool experience, analytics leadership, stakeholder communication, and at least five years in data roles with two years managing teams.