Manager, Data and Analytics

• Manager, Data and Analytics
• 📍 Location: Remote, US
• 🏢 Industry: Transportation, Logistics, Supply Chain and Storage
• 💼 Work Setting: Hybrid

• Are you a data leader with experience managing data engineering, analytics, database administration, governance, and enterprise reporting functions?
• Ascent Global Logistics is seeking a Manager, Data & Analytics to lead and scale the company's Data Practice, overseeing strategy, governance, architecture, reporting, database operations, and data modernization initiatives. This role combines people leadership, technical oversight, data platform ownership, and business partnership responsibility to ensure reliable, scalable, and high-quality data services that support mission-critical logistics operations and customer-facing solutions.
• The ideal candidate combines expertise in data engineering, analytics, Snowflake, Azure, Power BI, master data management, data governance, and people leadership with the ability to remain hands-on when complex technical challenges arise.

• Key Responsibilities
• Data Strategy & Leadership
• Own the enterprise Data Practice, including:
• Strategy
• Team Structure
• Standards
• Roadmaps
• Governance
• Define the long-term vision for data and analytics capabilities.
• Create scalable operating models and best practices.
• Drive data modernization initiatives across the organization.
• Align data investments with business objectives.
• Team Management & Development
• Lead and manage teams including:
• Database Administrators (DBAs)
• Data Engineers
• Data Analysts
• Responsibilities
• Coaching and mentorship
• Performance management
• Resource planning
• Career development
• Cross-training and skill coverage
• Establish backup coverage and succession planning.
• Drive a culture of accountability, innovation, and continuous improvement.
• Data Warehouse Leadership
• Lead delivery of enterprise data warehouse initiatives.
• Oversee architecture, implementation, rollout, and adoption.
• Ensure scalable and reliable access to trusted business data.
• Support reporting, analytics, and operational decision-making.
• Improve enterprise data accessibility.
• Focus Areas
• Data Warehousing
• Data Modeling
• Enterprise Reporting
• Analytics Platforms
• Data Integration
• Data Engineering & Integration
• Lead enterprise data integration initiatives.
• Establish standards for:
• ELT Pipelines
• Data Quality
• Data Validation
• SDLC Practices
• Design scalable integration solutions across source systems.
• Support modernization of data ingestion and transformation processes.
• Technical Areas
• SQL Data Sources
• Data Pipelines
• Data Transformation
• Data Quality Monitoring
• Data Integration Frameworks
• Snowflake & Data Modeling
• Oversee Snowflake architecture and modeling practices.
• Establish standards for enterprise data structures.
• Ensure scalable and performant analytical environments.
• Support business intelligence and reporting requirements.
• Promote reusable and governed data assets.
• Reporting & Analytics Modernization
• Lead modernization of enterprise reporting platforms including:
• SSRS Migration
• Power BI Adoption
• Reporting Governance
• Self-Service Analytics
• Responsibilities
• Dashboard Strategy
• Report Standardization
• KPI Frameworks
• Analytics Enablement
• User Adoption
• Power Platform Leadership
• Drive initiatives leveraging:
• Power BI
• Power Automate
• Improve business reporting capabilities.
• Automate operational processes.
• Enhance decision support and business visibility.
• Promote adoption of low-code analytics solutions.
• Operational Support & Escalation Management
• Serve as the senior escalation point for complex:
• Database Issues
• Reporting Issues
• Analytics Challenges
• Data Quality Problems
• Provide technical leadership during critical incidents.
• Troubleshoot and resolve high-impact issues.
• Ensure business continuity and uptime of critical services.
• Customer-Facing Data Services
• Ensure customer reporting solutions are accurate and reliable.
• Support external data exchanges and integrations.
• Oversee key operational workflows and reporting processes.
• Maintain service quality for client-facing analytics products.
• Support major account data requirements.
• Master Data Management (MDM)
• Own the organization's Master Data Management strategy.
• Establish governance and stewardship practices.
• Improve consistency of core business data.
• Support enterprise-wide data standardization.
• Enhance trust and reliability of business information.
• Data Governance & Compliance
• Governance Leadership
• Chair the Data Governance Committee.
• Establish policies, standards, and controls.
• Promote data ownership and accountability.
• Ensure adherence to data governance frameworks.
• Areas of Focus
• Data Quality
• Metadata Management
• Data Stewardship
• Retention Policies
• Compliance Controls
• Data Protection & Retention
• Own backup and recovery strategies.
• Define enterprise data retention policies.
• Ensure recoverability of critical business data.
• Support regulatory and business requirements.
• Maintain operational resilience.
• Software Development Partnership
• Partner closely with internal software development teams.
• Integrate analytics and data capabilities into applications.
• Support SDLC processes and data-focused engineering practices.
• Align platform development with organizational goals.
• AI Adoption & Innovation
• Drive use of AI tools within data team operations.
• Improve delivery speed and productivity through AI-assisted workflows.
• Identify opportunities for intelligent automation.
• Encourage experimentation with modern analytics technologies.
• Support future AI and advanced analytics initiatives.
• Budget & Financial Management
• Own and manage the Data Practice budget.
• Plan resource allocation and investments.
• Support vendor and platform budgeting.
• Monitor operational and project expenditures.
• Align spending with strategic priorities.

Qualifications

• Experience
• Required
• 8+ years of experience in:
• Data Engineering
• Data Warehousing
• Analytics
• Database Administration
• 3+ years of people management experience.
• Experience leading teams and major enterprise initiatives.
• Proven track record of delivering data and analytics projects successfully.
• Technical Skills
• Data Platforms
• Required
• Snowflake
• SQL
• Data Warehousing
• Data Integration
• ELT Pipelines
• Cloud Platforms
• Required
• Microsoft Azure
• Knowledge Areas
• Cloud Data Services
• Data Modernization
• Scalable Analytics Environments
• Business Intelligence
• Required
• Power BI
• SSRS
• Reporting Governance
• Dashboard Development
• Preferred
• Power Automate
• Self-Service Analytics
• Data Governance
• Required
• Data Governance Programs
• Data Quality Frameworks
• Master Data Management (MDM)
• Data Stewardship
• Database Administration
• Required
• Database Performance
• Backup & Recovery
• Data Retention
• Operational Support
• Software Delivery
• Required
• SDLC Best Practices
• Quality Assurance
• Release Management
• Technical Leadership
• Preferred Qualifications
• Industry Experience
• Transportation & Logistics
• Freight Management
• Supply Chain Analytics
• Logistics Operations
• Leadership Experience
• Offshore Team Management
• Executive Stakeholder Management
• Cross-Functional Program Leadership
• Enterprise Transformation
• Emerging Technology
• AI-Assisted Development
• Intelligent Automation
• Advanced Analytics Platforms
• Professional Competencies
• Strategic Leadership
• Team Development
• Technical Decision-Making
• Stakeholder Management
• Financial Management
• Problem Solving
• Communication
• Change Management
• Operational Excellence
• Continuous Improvement

• Core Competencies
• Data Leadership
• Data Engineering
• Analytics Management
• Data Warehousing
• Snowflake
• Azure
• Power BI
• Power Automate
• SQL
• Master Data Management
• Data Governance
• ELT Pipelines
• Database Administration
• SSRS Modernization
• Reporting Governance
• AI Enablement
• Team Leadership
• Budget Management
• Logistics Data
• Enterprise Analytics