Associate Director, Analytics - Construction, Virginia Beach
On-site · Virginia Beach, Virginia, United States
Job Summary
Associate Director, Analytics – Construction driving AI and analytics transformation for strategic clients in the construction/building domain. Claims ownership across AI/ML solution delivery, product ownership, and stakeholder governance; leads cross-functional teams in translating business problems into scalable data/AI architectures, with hands-on software engineering background and client-facing consulting experience. Responsibilities include acting as AI/Analytics Product Owner, defining roadmaps and KPIs, guiding data engineering and full-stack design, delivering AI/ML solutions (Computer Vision, OCR/document intelligence, LLM/GenAI, predictive analytics, and operational optimization), establishing governance and monitoring, and collaborating with engineering, UX, and business leaders. Requires deep expertise across data pipelines, cloud data ecosystems, and enterprise BI, with strong communication and workshop facilitation skills; construction tech and BIM/CAD data workflows preferred.
Required Qualifications
- 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
- Hands-on software engineer/developer background (mandatory)
- Experience with construction, engineering, manufacturing, industrial, or built-environment clients preferred
- Knowledge of Snowflake & Power BI
- Strong understanding of ML, DL, GenAI/LLM ecosystems, NLP and Computer Vision, Predictive analytics, statistical modelling
- Experience with AI product lifecycle management and production AI systems
- Strong data pipelines and ETL/ELT, data warehousing/lakehouse architectures, streaming and batch processing, SQL, distributed data processing
- Experience with modern cloud data ecosystems
- Backend engineering with Python/Node.js/Java, REST APIs, microservices
- Understanding of frontend/full-stack architecture
- Ability to collaborate 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
- Familiarity with Azure and/or GCP ecosystems
- Understanding of CI/CD, MLOps, containerization, and deployment strategies
- Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Analytics, or related field
- MBA or equivalent consulting/product management exposure is a plus
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