
Data Manager
Posted Jul 31

Posted Jul 31
This is a fully remote position, open to applicants in United States.
• Oversee the Business Intelligence Team
• Guide, mentor, and cultivate the Business Intelligence and Data Analytics team.
• Set team priorities, goals, and performance standards.
• Promote a culture of collaboration, accountability, continuous improvement, and innovation.
• Manage project priorities, resource distribution, and team workloads across various initiatives.
• Mentor team members while encouraging professional growth and technical excellence.
• Take ownership of the development, maintenance, and ongoing enhancement of enterprise dashboards, scorecards, and reports.
• Provide precise, timely, and actionable reporting across all business functions.
• Standardize business metrics, reporting methodologies, and KPI definitions organization-wide.
• Create executive dashboards that offer insights into both operational and financial performance.
• Collaborate with business leaders to comprehend reporting needs and uncover significant business insights.
• Develop and execute enterprise-wide data governance policies, standards, and best practices.
• Ensure data quality, consistency, accuracy, and integrity across all business systems.
• Implement processes for data validation, cleansing, monitoring, and addressing issues.
• Define data ownership and stewardship responsibilities among departments.
• Advocate for data governance standards that align with regulatory compliance and business goals.
• Analyze business performance to pinpoint trends, risks, and growth opportunities.
• Formulate actionable recommendations to enhance operational efficiency and business performance.
• Assist executive decision-making through forecasting, budgeting, sales analytics, inventory planning, customer insights, and operational reporting.
• Construct KPI frameworks that align with strategic business objectives.
• Conduct ad hoc analysis to facilitate business initiatives, product launches, and executive requests.
• Collaborate with Engineering, Product Management, DevOps, Operations, and IT teams to support enterprise data architecture projects.
• Oversee data integration across ERP, CRM, eCommerce, Customer Support, Marketing Automation, and Product platforms.
• Support enterprise data warehouse and cloud analytics environments.
• Identify opportunities to automate data collection, reporting, and business intelligence processes.
• Enable AI & Advanced Analytics.
• Facilitate Artificial Intelligence and Machine Learning initiatives through robust data governance and data preparation practices.
• Collaborate with Product and Engineering teams to deliver clean, reliable datasets for AI-driven products and business initiatives.
• Assist in establishing best practices for data management that support predictive analytics and emerging technologies.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business, or a related field.
• 7+ years of experience in Business Intelligence, Data Analytics, Data Management, or a related discipline.
• 2+ years of leadership experience managing Business Intelligence, Data Analytics, or Data Management teams.
• Advanced SQL and database management expertise.
• Familiarity with Business Intelligence platforms such as Power BI, Tableau, Looker, or similar visualization tools.
• Strong understanding of:
• Data warehousing
• ETL processes
• Data modeling
• Reporting frameworks
• KPI development
• Experience in developing executive dashboards and enterprise reporting solutions.
• Excellent analytical, organizational, and problem-solving capabilities.
• Strong communication and stakeholder management skills, with the ability to convert technical concepts into business insights.
• Capacity to manage multiple priorities in a fast-paced, collaborative environment.
• Competitive salary
• Flexible working hours
• Professional development opportunities
Lincoln Institute of Land Policy
General Dynamics Information Technology
CFRA Research
Get handpicked remote jobs straight to your inbox weekly.