Sr Data Architect

As a Senior Data Architect, you will define and enable a scalable, business-ready data foundation for the organization. This role sets the vision for how data is structured, accessed, governed, and applied to business decision-making, particularly within transportation and trucking logistics. You will deliver a concise set of high-confidence, executive-ready reports while reducing reliance on high-maintenance operational reporting. You will also lead and develop the Data Analyst team and build scalable, well-modeled datasets that can support advanced analytics, machine learning, and emerging AI/agentic workflows.

Key Responsibilities:

Define and maintain the enterprise data architecture that supports scalable, structured, and reliable analytics Establish data standards, frameworks, and governance to ensure consistency, quality, and usability across the organization Set the vision for how data is used to support business strategy and decision-making, partnering with leaders across the business Lead, coach, and oversee the Data Analyst team; set priorities, remove blockers, and ensure timely delivery of business insights Deliver executive-level reports and dashboards that are accurate, trusted, and require little to no ongoing maintenance Rationalize and reduce operational reporting to a small, standardized core set, improving consistency and reducing support burden Gradually shift legacy, high-maintenance reporting into a scalable data model and governed semantic layer Serve as the bridge between technical data teams and business stakeholders, translating requirements into durable data products Design datasets and data access patterns that can be leveraged by machine learning solutions and AI/agentic workflows at scale Who Is M2? M2 Logistics is a privately held logistics provider founded in 2001. M2 was formed and prides itself on meeting the needs of our customers through a relentless discipline of our core values. M2 has remained resolute in being large enough to leverage a complete suite of logistics services yet structuring the execution teams to remain small enough to offer a personal touch. Why Should You Apply? Fun and energetic work environment. Work/Life balance is a core value of the M2 Logistics organization. Lack of bureaucracy

• more empowerment. Servant leadership
• no barriers. Caring/compassionate owner
• trickle down effect.

An awesome team that you get to work with! Bachelor's degree in a data-focused discipline or equivalent experience 5+ years relevant experience (transportation/logistics experience preferred Expert SQL and relational data modeling skills; experience with BI tools (e.g., Power BI) Strong experience in data architecture and/or data engineering, including scalable ETL/ELT patterns Expert analytical skills, with the ability to build, explain, and convey business insight to executives and front-line users AI background and familiarity with agentic workflows (or strong interest in enabling them through governed, scalable datasets)