Analytics & AI Architect

• This is a hybrid role based in Chanhassen, MN. At this time, we are unable to offer relocation assistance, so candidates should be located within a commutable distance.
  
  

Company Summary

Vessco Water is a family of companies providing innovative water treatment solutions and services to customers across the United States. As one of the nation’s largest full-service water treatment equipment distributors, we support every segment of the water and wastewater treatment industry. Our companies represent industry-leading equipment manufacturers who are recognized as leaders within their respective markets. Together, we offer a comprehensive product portfolio, value-added design support, and aftermarket parts and services to both municipal and industrial customers.

As we continue to scale through rapid growth and acquisition, data, analytics, and AI are becoming critical enablers of operational effectiveness and business insight. Our environment spans a growing ecosystem of ERP and CRM platforms as new companies and systems are added. We are in the initial stages of creating a modern, flexible data platform and are looking for a leader who can transform complex, fragmented data into trusted insights and practical outcomes—while helping the organization build durable analytics and AI capabilities across an evolving systems landscape.

Position Summary

Vessco Water is seeking an Analytics and AI Architect to define and shape the analytics and AI layer of our enterprise data platform. This role sits at the intersection of business strategy, data modeling, and analytics design—ensuring that data is translated into trusted metrics, scalable semantic models, and meaningful insights.

You will work directly with business leaders to document requirements and design analytics and AI use cases, while partnering closely with the Lead Data Engineer to ensure those needs are realized through scalable, well designed semantic models. Beyond solution design and delivery, this role plays a critical part in enabling the business to effectively use data, build reports, and responsibly leverage AI capabilities.

This is a senior, hands on individual contributor role focused on architecture, influence, and enablement.

Key Duties And Essential Functions

• Partner with business leaders to translate decision making needs into analytics, reporting, and AI requirements.
• Architect and maintain enterprise semantic models, metrics, and definitions that ensure consistent, trusted insight.
• Collaborate with the Lead Data Engineer to align analytics and AI design with the enterprise data platform.
• Design and deliver high impact dashboards, reports, and AI enabled analytics solutions.
• Enable self service analytics and responsible AI usage through standards, coaching, and best practices.
• Serve as a trusted advisor on how data, analytics, and AI should be applied to solve business problems.
  
  

Required Qualifications

Experience & Capabilities

• 6 years of experience in business intelligence, analytics, or data driven architecture roles
• Proven experience working directly with business stakeholders to gather and translate requirements
• Strong background designing semantic models, business metrics, and analytic layers
• Hands on experience delivering dashboards, reports, and analytical insights used by the business
• Ability to balance standardization with flexibility to support self service analytics
• Strong communication skills with the ability to explain complex concepts to non technical audiences
• Comfortable operating independently and owning architectural outcomes end to end
  
  

Core Technologies & Skills

• BI and analytics platforms (e.g., Power BI, Tableau, Looker, or similar)
• Advanced SQL for analytics and reporting
• Data modeling concepts (facts, dimensions, measures, business logic)
• Experience working with modern cloud data platforms (data warehouses or lakehouses)
• Strong analytical and business first mindset
  
  

Preferred Qualifications

Advanced / Nice to Have

• Experience partnering closely with data engineering teams on enterprise data platforms.
• Hands on experience with AI enabled analytics or applied AI use cases.
• Experience designing or supporting self service BI at scale.
• Familiarity with data governance, data quality, and trusted metric frameworks.
• Experience working in multi entity or platform based organizations.
  
  

Preferred Technologies

• Cloud data platforms (e.g., Snowflake, Databricks, Azure Synapse, BigQuery)
• Semantic modeling frameworks (e.g., Power BI semantic models, LookML, dbt metrics)
• Python or similar languages for analytics or AI experimentation
• Experience with AI tools or services used in business analytics
• Microsoft ecosystem familiarity (Power BI, Fabric, Azure AI, Copilot)
  
  

COMPENSATION: $143,264 - $161,172 annual bonus. Dependent on experience and qualifications

Physical Demands And Work Environment

Standard office environment.

Benefits

• Health insurance
• 401(k)
• Dental insurance
• Life insurance
• Paid time off
• Vision insurance
• Dog-friendly office!
  
  

The company is committed to equal employment opportunity. The company will not discriminate against employees or applicants for employment on any legally recognized basis including, but not limited to: age, ancestry, childbirth or related medical condition; citizenship; color; creed; familial status; gender expression; gender identity; genetic information; height; weight; marital status; national origin; physical or mental disability or handicap; pregnancy; race; religion; sex; sexual orientation; uniform service member status or veteran status; or any other characteristic protected by applicable federal, state, or local laws.

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