Sr Data Architect

Description

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!

Requirements

• 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)