Senior Manager of Analytics & Technology

XMG•Dallas, TX

1d•$135,000 - $140,000•Remote

About The Position

The Manager, Analytics & Technology is a critical role responsible for owning two interconnected domains: the company’s analytics and business intelligence function, and its technology infrastructure and vendor relationships. This role drives scalable, insight-rich reporting across the organization while serving as the primary internal point of contact for IT systems, third-party managed services, and technology strategy. As Xpedient modernizes its systems and scales its operations, this position ensures that both the analytical and technological foundations of the business are sound, integrated, and forward-looking. The role partners closely with the Solutions Design team and senior leadership to align analytics output with business priorities and to ensure our technology environment supports continued growth. This is a remote leadership role requiring a proactive, self-sufficient professional with strong technical breadth, sound judgment, and genuine enthusiasm for innovation. The ideal candidate is equally comfortable building a Power BI dashboard, managing an IT escalation, and advising leadership on emerging technology trends.

Requirements

7+ years of experience spanning analytics, BI, systems integration, and/or IT management or vendor oversight.
Advanced proficiency in Power BI or comparable BI platform, with strong SQL skills and demonstrated experience building dashboards, models, and metrics.
Experience managing or coordinating with third-party technology vendors or managed service providers.
Ability to operate independently, manage competing priorities, and drive initiatives to completion without continuous direction.
Strong communication skills — able to translate technical concepts for non-technical audiences and advise senior leaders clearly and confidently.
Demonstrated interest in and comfort with emerging technology, including AI and automation tools.
Strong project management capability with experience running multiple complex workstreams simultaneously.

Nice To Haves

Experience with ThoughtSpot, Qlik, Sigma, or comparable next-generation BI platforms.
Experience with Snowflake or similar cloud data warehouse environments.
Familiarity with IT infrastructure concepts: networking, cloud environments, SaaS stack management, and security basics.
Equivalent combinations of education and relevant experience are welcomed and will be considered.

Responsibilities

Lead the development, enhancement, and maintenance of dashboards, reports, and KPIs for internal and customer-facing use.
Translate business needs into data models, visualizations, and metrics that drive informed decision-making.
Ensure reporting consistency, accuracy, and scalability across the organization.
Identify performance trends, risks, and opportunities through advanced analytics.
Oversee integrations across ERP, BI platform, data warehouse, WMS/TMS systems, external customer feeds, and automation platforms.
Manage the development of APIs, data pipelines, and automated workflows that support seamless system connectivity.
Drive data governance, documentation, and quality assurance across all analytics and integration initiatives.
Support major BI platform transitions, including current-tool replacement, and maintain execution pace against modernization timelines.
Provide dotted-line technical direction and mentorship to analytics-focused team members.
Serve as the primary internal point of contact for Xpedient’s third-party managed IT service provider.
Manage escalations from the managed services vendor, ensuring timely resolution of system and infrastructure issues.
Own system integration decisions — advising on configuration, connectivity, and architecture across the company’s technology stack.
Evaluate and advise leadership on the company’s IT setup, identifying gaps, redundancies, and opportunities to improve reliability and performance.
Coordinate IT needs across business units, acting as the internal bridge between operations and the external service provider.
Maintain awareness of the full technology environment to inform integration decisions and flag risks proactively.
Research, evaluate, and recommend new tools, platforms, and technologies that improve efficiency, scalability, and competitive positioning.
Develop a point of view on emerging technologies — including AI, automation, and industry-specific platforms — and bring actionable recommendations to leadership.
Champion a culture of continuous improvement and openness to adopting new approaches across systems, reporting, and workflows.
Leverage AI tools to enhance productivity, automate workflows, and build smarter analytics solutions.
Support organizational growth through scalable, future-ready data and technology infrastructure.