Director, Analytics Engineering

For our client, we are seeking a Director, Analytics Engineering to join the team of a leader in the Information Technology space. This leader will shape the organization’s analytics engineering function, with a strong focus on trusted data models, semantic layers, and AI-enabled data access. The role will partner closely with data, engineering, BI, and business stakeholders to deliver reliable self-service capabilities and data products that improve decision-making across the company. This leader will also guide governance, quality, and security practices while setting a scalable roadmap for analytics engineering in a fast-moving technology environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $139,200 – $285,600 annually Responsibilities Build and maintain a trusted semantic model for consistent business answers Develop evals and ground-truth datasets to measure and improve answer quality Instrument telemetry to analyze usage patterns of the semantic model and AI tools Create a model-selection harness for efficient routing of work across LLMs Own data modeling and curated datasets for self-service capabilities Define the AI data access strategy with governance and security measures Lead the enterprise BI and self-service tools strategy, including evaluation and adoption Develop self-service capabilities to empower users in data discovery Build company-wide data applications that integrate trusted data and AI Set engineering standards for data applications to ensure reliability Establish a long-range roadmap aligned with company strategy and stakeholder needs Hire, coach, and retain a high-performing analytics engineering team Qualifications 12+ years in analytics engineering, data engineering, or BI, with 5+ years in leadership roles Deep expertise in data modeling and semantic layers, including dbt and Snowflake Hands-on experience with LLM-powered data access and AI coding agents Expert SQL skills and strong Snowflake experience; working knowledge of Python Strong data governance experience, including data quality and access controls Proven track record of leading cross-functional data initiatives with measurable impact Exceptional communication skills, capable of influencing across the organization Benefits Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.