Hiring: Director - Applied Analytics Company: Trucordia Location: Lindon, UT Job Posted Time: 2026-09-03 11:14:48 Target Skills & Keywords : Azure, Databricks, Machine Learning, Python, SQL, Snowflake About the job Experience: •10+ years in data engineering, data architecture, analytics, or similar roles, with a mix of hands-on building and leading people. Required Skills: •Once you've proven a few wins, you'll hire and lead a team under you. We want someone who can move fast and build with their own hands now, and who can grow into running the function as the results earn it. The right person likes both parts of that: the building and the leading. •Build the data foundation in three ways •Consolidation. Bring in carrier data like claims information and commission statements, then organize and consolidate it once so our teams stop going back to the carrier for answers we should already have. •Operational efficiency. Use our data to make the business run better. Cut manual work, speed up processes, and give teams what they need to make faster, smarter calls. •Sources of truth. Clean up and stand behind the systems the business runs on, starting with Dayforce, so access, reporting, producer numbers, and growth data all trace back to something we trust. This one starts on day one. •Lead the building •Build where the data doesn't exist yet. For the initiatives that matter, figure out what data we'd need, then work with engineering and operations to set up a way to start capturing it, so today's gaps become tomorrow's assets. •Organize the data underneath the AI. Structure, model, and govern the data that feeds our AI experiences so they have real context and know what to do instead of guessing. We want you working at the front edge of AI-first development, using AI tools to build faster and building data applications that go well beyond dashboards. Qualifications: •You're a real builder who can also lead. You can design and ship a solution yourself, quickly, without waiting on a team, and you have the range to grow into leading one. If you only manage, or only build, this probably isn't the right fit. We need both. •A track record of building data foundations that other teams and systems now depend on: ingestion, modeling, consolidation, and cleanup work that held up over time. Not just reports and dashboards. •Real hands-on experience with Snowflake and the Microsoft Azure ecosystem, including pipeline and orchestration work with tools like Azure Data Factory, Azure Storage, and Azure ML or Databricks. •Strong data and analytics engineering skills: SQL, dimensional and semantic modeling, and Python or R. You know what it takes to get data into production and keep it reliable once it's there. •General software and web development experience. You understand how modern applications are designed, built, and deployed, and you can build data applications, not just models and pipelines. •Applied hands-on capability in AI and machine learning, and a good read on where the field is going. We especially care about structuring and grounding data so AI systems retrieve the right thing, and about using AI to build faster. •The ability to explain a data problem in plain business terms and defend a plan to senior leadership. •Comfort in ambiguity. You can find a path, and create one when it isn't there yet. •Operational familiarity with insurance data like policy, claims, submissions, commissions, and carrier or market data, and with agency management systems or an HRIS like Dayforce. •A background in data governance, privacy, or compliance as it relates to how data gets used. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!