Senior Manager Data Analytics

Within your first year, you'll have helped establish a clear roadmap for the organization's future data architecture, strengthened the connection between Data Engineering and BI, improved the reliability and accessibility of enterprise reporting, and developed a team increasingly viewed as a strategic partner to the business. You'll work across Azure Data Factory, Azure Synapse, Microsoft Fabric, Power BI, Oracle, and Salesforce, helping create a more scalable and reliable data environment supporting Finance, Operations, Logistics, Supply Chain, and Sales.

This Jobot Job is hosted by: Melissa Thavenius
Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume.
Salary: $170,000 - $200,000 per year

A bit about us:

Our client is an established transportation and logistics organization with complex operations spanning supply chain, logistics, commercial, and financial functions. As the organization continues to modernize its technology environment, it is making a significant investment in its data architecture, engineering, and business intelligence capabilities.

This is a highly visible opportunity to lead an existing five-person Data Engineering and BI team while helping shape the future architecture of the organization's data environment.

Why join us?

Why Join Us
$170K–$200K base + 15% bonus, with flexibility for an exceptional candidate
Up to $25K in relocation assistance
Clear growth path toward Associate Director / Director
Lead an established team of 5 across Data Engineering and Power BI
Serve as the technical right hand to a Director with a Finance background
Own meaningful data architecture modernization
Play a key role as the organization moves through an Oracle implementation
Work across Azure Data Factory, Azure Synapse, Microsoft Fabric, Power BI, Salesforce, Oracle, and industry-specific operational systems
Opportunity to solve a major business problem: creating data the organization actually trusts
High visibility across Finance, Operations, Logistics, Supply Chain, and Sales

Job Details

We are seeking a hands-on Data & BI Manager to lead a five-person team across Data Engineering and Power BI while playing a key role in modernizing the organization's enterprise data architecture.

This is an ideal opportunity for someone who has grown from a technical IT or data engineering background into leadership but still enjoys being close to the technology.

You'll work across Azure Data Factory, Azure Synapse, Microsoft Fabric, Power BI, Oracle, and Salesforce, helping create a more scalable and reliable data environment supporting Finance, Operations, Logistics, Supply Chain, and Sales.

The role will have meaningful influence over architecture decisions, data modeling, BI strategy, and how information moves from source systems through the organization. You'll partner closely with senior leadership to develop the roadmap, prioritize projects, and translate complex business requirements into practical technical solutions.

You'll also lead and develop a talented technical team, bringing structure, accountability, and mentorship while remaining willing to roll up your sleeves alongside them when needed.

What You'll Bring
Strong hands-on experience with Azure Data Factory, Azure Synapse, and Microsoft Fabric
Data architecture modernization and data modeling experience
Strong understanding of Power BI and enterprise reporting environments
Technical foundation in IT, Data Engineering, BI, or Data Architecture
Ability to understand complex data flows across multiple enterprise systems
Strong business acumen and ability to translate business requirements into technical solutions
Experience leading, mentoring, or developing technical professionals
Organized, collaborative leadership style with the ability to operate both strategically and hands-on

Experience within manufacturing, transportation, logistics, distribution, or another operationally complex environment is especially valuable.

What Success Looks Like

Within your first year, you'll have helped establish a clear roadmap for the organization's future data architecture, strengthened the connection between Data Engineering and BI, improved the reliability and accessibility of enterprise reporting, and developed a team increasingly viewed as a strategic partner to the business.

Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.

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