Associate Director, Analytics - Construction, California

Requirements

• 10-15+ years of experience across analytics, AI/ML, data engineering, and enterprise application delivery.
• Prior experience in consulting, analytics advisory, or client-facing transformation programs.
• Strong experience acting as AI Product Owner, Analytics Lead, Solution Architect, Technical Program Lead.
• Early career experience as a hands-on software engineer/developer is mandatory.
• Experience working with construction, engineering, manufacturing, industrial, or built-environment clients is strongly preferred.
• Knowledge of Analytics & AI.
• Strong understanding of Machine Learning, Deep Learning, GenAI/LLM ecosystems, NLP and Computer Vision, Predictive analytics, Statistical modelling.
• Experience with AI product lifecycle management and production AI systems.
• Strong knowledge of Data pipelines and ETL/ELT, Data warehousing/Lakehouse architectures, Streaming and batch processing, SQL and distributed data processing
• Experience with modern cloud data ecosystems.
• Strong backend engineering foundation with experience inPython / Node.js / Java, REST APIs and microservices, Event-driven systems
• Understanding of modern frontend and full-stack application architecture.
• Ability to collaborate effectively with UX/UI and product engineering teams.
• Experience with enterprise BI and reporting ecosystems.
• Ability to drive executive dashboards, KPI frameworks, and operational analytics solutions.

Additional Information

Role Brief: We are seeking a highly versatile and client-facing Associate Director, Analytics to drive AI and analytics transformation initiatives for strategic clients in the construction and built-environment domain. This role blends the responsibilities of a product owner, analytics consultant, solution architect, and hands-on technology leader. The ideal candidate is someone who began their career as a strong hands-on engineer/coder and has evolved into a consulting-led leadership role capable of owning business outcomes, shaping AI products, engaging senior stakeholders, and leading cross-functional delivery teams. This individual will work at the intersection of AI/ML and analytics strategy, construction domain workflows and operational intelligence, product ownership and stakeholder management, data engineering and application architecture and full-stack AI solution delivery. The role requires both strategic thinking and technical depth, with the ability to translate ambiguous business problems into scalable AI-enabled products and platforms.

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