Associate Director, Analytics - Construction, California

Act as the primary AI/Analytics Product Owner for client engagements within the construction domain. 

Partner with client business stakeholders to identify high-value AI, analytics, automation, and optimization opportunities. 

Define product vision, roadmap, KPIs, feature prioritization, and release planning for AI-enabled platforms and solutions. 

Drive discovery workshops, problem framing sessions, and use-case prioritization exercises. 

Translate business problems into scalable data, analytics, and AI solution architectures. 

Own stakeholder communication, executive reporting, and strategic advisory discussions. 

Lead development of AI/ML-driven solutions involving Computer Vision, OCR/document intelligence, LLM and GenAI applications, Predictive analytics, Operational optimization, Recommendation systems.

Define AI solution strategy, experimentation approach, evaluation metrics, and product ionization plans. 

Guide teams on model selection, data strategy, feature engineering, and deployment approaches. 

Establish scalable AI governance, monitoring, and feedback-loop mechanisms. 

Provide technical leadership across: Data Engineering, Backend/API development, Full-stack application architecture, Cloud-native analytics platforms, BI and visualization ecosystems

Collaborate with engineering teams to design scalable architectures and integration patterns. 

Review technical designs, APIs, pipelines, and engineering implementation approaches.  

Ensure alignment between product vision and technical execution. 

Act as a trusted advisor to client leadership teams. 

Lead requirement discussions, solution walkthroughs, demos, and steering committee updates.  

Drive cross-functional collaboration across business, data science, engineering, and UX teams. 

Manage delivery governance, prioritization, risks, dependencies, and execution tracking. 

Mentor teams and foster a strong engineering and innovation culture. 

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. 

Familiarity with Azure/ preferably GCP ecosystems. 

Understanding of CI/CD, MLOps, containerization, and deployment strategies. 

Combines consulting mindset with strong technical depth. 

Can move seamlessly between business discussions and technical architecture conversations. 

Has strong ownership, entrepreneurial mindset, and product thinking. 

Is comfortable working in ambiguity and building 0-to-1 AI solutions. 

Can challenge assumptions and influence executive stakeholders. 

Has credibility with both engineering teams and business leaders. 

Is hands-on enough to review code/designs while operating at leadership level. 

Demonstrates strong communication, storytelling, and workshop facilitation skills.