Are you a data architecture professional who is passionate about building the trusted foundation that powers enterprise analytics? Orion180 is seeking a Semantic Model Manager to own the suite of semantic models that drive analytics across underwriting, claims, finance, sales, and executive reporting. You will be the steward of our single source of truth, ensuring that the right data is available in the right dimensions to power every aspect of Orion180's business. At Orion180, we expect our analytics team to go beyond maintenance and serve as architectural partners to the business. The ideal candidate demonstrates strong intellectual curiosity and ownership by proactively understanding not just how a model performs today, but **why** it is structured as it is and how it must evolve to meet tomorrow's analytical demands. This role requires a self-starter who is comfortable operating with ambiguity, asks thoughtful and targeted questions, and translates loosely defined business needs into durable, well-governed data structures. Success in this role depends on the ability to balance performance, stability, and flexibility while working hand-in-hand with Analysts and Data Scientists. We are looking for someone who not only maintains models, but shapes how the entire organization consumes and trusts its data. **WHAT YOU'LL DO:** **Semantic Model Ownership & Architecture** - Own the design, structure, and full lifecycle of the semantic models that power Orion180's analytics across underwriting, claims, finance, sales, and executive reporting. - Architect dimensional models (facts, dimensions, hierarchies, and relationships) that deliver the right data in the right grain for every business domain. - Drive the evolution of the model portfolio, including decomposition into certified core and satellite models to balance reuse, performance, and domain ownership. **Performance, Stability & Governance** - Monitor, diagnose, and optimize model performance, resolving problematic relationships, calculation bottlenecks, and refresh stability issues before they reach the business. - Establish and enforce governance standards (naming conventions, certified datasets, documentation, and data lineage) to maintain a trusted single source of truth. - Define and steward the metric and measure library, ensuring consistent, validated business logic across every reporting surface. **Enablement & Collaboration** - Partner hand-in-hand with Analysts and Data Scientists to ensure the data they need is modeled, accessible, and dimensioned to power their analyses and machine learning workflows. - Translate evolving business questions into model enhancements, proactively anticipating the dimensions and measures the business will need next. - Document model architecture and design decisions, and mentor analysts on best practices for consuming the semantic layer. **WHAT WE'RE LOOKING FOR:** **Education:** - Bachelor's degree in Computer Science, Information Systems, Data Engineering, Statistics, or a related field (Master's preferred). **Experience:** - Proven experience owning or developing enterprise semantic models and governed metric layers within the insurance or financial services industry. - Demonstrated experience owning models at enterprise scale-including fact tables exceeding one billion rows-while sustaining query and refresh performance under concurrent, high-throughput workloads. - Deep proficiency in dimensional modeling, SQL optimization, DAX (or equivalent semantic modeling languages), and data transformation tooling such as dbt. - Hands-on experience with modern cloud data platforms such as Azure, Snowflake and Databricks, and BI platforms such as Power BI and Tableau. - Strong understanding of model performance tuning, relationship and cardinality management, and data governance principles. **Skills & Attributes:** - Excellent analytical, problem-solving, and architectural-thinking skills. - Strong communication and collaboration abilities across technical and non-technical teams. - Ability to balance competing priorities and manage the evolution of shared data assets in a fast-paced, results-driven environment. We are especially interested in candidates who bring a forward-looking perspective to the semantic layer. This includes familiarity with semantic model decomposition and certified dataset strategies, automated documentation and lineage tooling, AI-assisted model analysis, and emerging approaches to scalable, self-service analytics across the enterprise. **WHAT'S IN IT FOR YOU:** **Join Our Team & Make an Impact!** At Orion180, we don't just meet expectations-we exceed them. If you're ready to take ownership of the data foundation behind a growing, forward-thinking company, apply today! **Dynamic Environment:** On-site role with a collaborative, fast-moving team culture where your work powers real business impact. **Compensation:** Competitive base salary with performance-driven bonuses. **Career Growth:** Opportunities for mentorship, technical certifications, and professional development. **Benefits:** Comprehensive benefits package including medical, dental, vision, 401(k), paid holidays, PTO, and more. The office environment is fast-paced and collaborative. An employee must be willing and able to work their regularly assigned work schedule onsite, and in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands. While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (