Enterprise Data Solutions Manager

Cerro Wire LLC

As a part of the global industrial organization Marmon Holdings-which is backed by Berkshire Hathaway- you'll be doing things that matter, leading at every level, and winning a better way. We're committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone's empowered to be their best.

At Marmon Electrical, we power a bright future for millions of people around the world. From homes to industries that shape lives, we deliver solutions that keep people connected and energized-and it all starts with you. We're doing things that matter. Our electrical engineering solutions impact millions worldwide through safe and dependable energy supply. We deliver electrical solutions from the ocean depths to outer space. As part of Marmon, you're helping keep millions worldwide healthy, connected and safe.

Cerrowire ®, a Marmon/Berkshire Hathaway company, is a leading U.S. copper wire supplier for residential, commercial and industrial applications. In addition to rugged and dependable, guaranteed products, including MC cables and aluminum wires, the Cerrowire focus is on customer service and delivering on time and in full from our wire manufacturing plants in Alabama, Georgia, Indiana, and Utah.

We create our quality products in our new, state-of-the-art MC cable plant. As part of the Marmon Electrical family of companies, Cerrowire benefits from the financial strength, operational discipline, and long-term ownership philosophy of Berkshire Hathaway while maintaining the focused, entrepreneurial operating culture of a market leader in its category.

The Enterprise Data Solutions Manager builds the governed data products, Power BI solutions and applied AI tools that Cerrowire teams use to make decisions. Working in Microsoft Fabric and Azure AI Foundry, this role turns established business requirements into production solutions and owns technical delivery from design through support.

The role's primary focus is the gold layer: semantic models, standardized metrics and the BI and AI experiences built on them. The Senior Data Engineer owns ingestion through the silver layer; this role owns everything users consume from there. The successful candidate brings solid Fabric, SQL and Python skills, hands-on generative AI experience, and the judgment to build AI that is secure, measurable and cost-aware.

Key Responsibilities

Data & Analytics

• Build and maintain gold-layer data products, semantic models and standardized business metrics in Microsoft Fabric, partnering with the Senior Data Engineer on upstream pipelines.
• Develop Power BI reports and Copilot-enabled experiences that let users securely interact with governed datasets.
• Implement usage telemetry and adoption dashboards for BI, automation and AI tools, and recommend improvements based on usage patterns.

Applied AI & Automation

• Design, build and deploy AI agents, retrieval-augmented generation (RAG) solutions and agentic workflows using Azure AI Foundry, Microsoft Copilot and other approved enterprise AI platforms.
• Build and maintain embeddings, vector stores and grounding strategies that connect AI solutions to governed data.
• Evaluate AI solutions for retrieval quality, groundedness, reliability, latency and usability, and build in monitoring, logging, error handling and human-in-the-loop review.
• Automate business processes with Power Automate and Power Apps where they are the right fit.

Security & Governance

• Apply data classification, PII handling and access controls, including row-level security and Entra ID, to every BI and AI solution.
• Design AI solutions to resist prompt injection and limit agent permissions to the minimum required.
• Serve as a technical resource in Data & AI governance and use-case reviews.

Delivery & Standards

• Own technical delivery once requirements are approved: design, development, testing, deployment, documentation and production support.
• Follow SDLC practices, including Git version control, Fabric deployment pipelines, testing, release management and documentation of designs, data definitions, lineage and runbooks.
• Build reusable components, templates and prompt patterns that speed future development.
• Run proofs of concept and make evidence-based technology recommendations covering fit, security, scalability and cost, including Fabric capacity and AI consumption.

Collaboration & Enablement

• Work with analysts, the Senior Data Engineer, plant and business stakeholders, and vendors on design, implementation and knowledge transfer.
• Mentor peers through design and code reviews, and lead demos and office hours that build practical adoption of data and AI.

What Success Looks Like: First 6 months

• A gold-layer semantic model and Power BI solution in production on Fabric, adopted by its business users.
• A first AI solution (RAG or agent) piloted with defined evaluation metrics and human-in-the-loop controls.
• Documented development, testing and deployment standards for the team's Fabric and AI work.

First 12 months

• Governed data products in use across Cerrowire's plant sites.
• At least one AI solution in production with monitored quality, cost and adoption.
• A library of reusable components and patterns used by the Reporting & Analytics team.

Requirements

• Work Authorization Requirement: Candidates must be legally authorized to work in the United States on a permanent basis. The company is unable to provide employment visa sponsorship now or in the future.
• Bachelor's degree in Computer Science, Information Systems, Data Science, Software Engineering or a related field, or an equivalent combination of education and experience.
• 3-5 years of experience in business intelligence, analytics engineering, data engineering or software development.
• Hands-on experience with Microsoft Fabric or a comparable cloud data platform.
• Strong SQL, including developing and troubleshooting complex queries and data structures.
• Working proficiency in Python, including notebook-based or PySpark data work.
• Power BI experience, including semantic modeling, DAX and report development.
• Hands-on development of at least one generative AI solution, such as a RAG application, agent or LLM-integrated workflow.
• Experience with Git-based version control.

Preferred Qualifications

• Microsoft Certified: Fabric Analytics Engineer Associate.
• Production experience with AI agents, RAG, embeddings or vector databases, including Azure AI Foundry.
• Experience with Microsoft Power Platform (Power Automate, Power Apps).
• Experience with row-level security, Entra ID or Microsoft Purview.
• Experience in manufacturing, or with Sage X3 or Salesforce data.

Pay Range

80,000.00 - 120,000.00

We offer a comprehensive benefits package that may include medical, dental, vision, 401k matching, and more!

Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law.