Lead large-scale content audits and analyze crawl, analytics, SEO, and qualitative data for enterprise websites. Develop information architecture, taxonomies, content requirements, page-level recommendations, and priority guides. Build or adapt lightweight tools and workflows, validate findings, create client presentations, and collaborate with strategy, design, development, and client teams through implementation.

Leads and delivers complex data engineering projects, designing scalable data infrastructure, pipelines, warehouses, and data quality solutions. Recommends tools and architectures, optimizes data movement and performance, collaborates across technical teams, mentors engineers, and translates technical concepts for clients and nontechnical stakeholders. The role may also involve real-time processing, data modeling, transformation, security, and MLOps.

Leads scalable data model and pipeline design, dbt development, testing, CI/CD, and analytics engineering implementations. Partners with analysts, engineers, and stakeholders to translate business needs into reliable models and semantic layers. Advises on data architecture, governance, quality, performance, and long-term scalability while mentoring peers and contributing to shared tooling, standards, and frameworks.