About The Position

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.

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 in Python / 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.

Nice To Haves

  • 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.
  • Construction technology (ConTech)
  • Blueprint/document intelligence
  • Estimation or procurement analytics
  • BIM/CAD data workflows
  • AI-powered operational platforms
  • Industrial AI or field operations analytics
  • Digital transformation consulting

Responsibilities

  • 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.

Benefits

  • Medical, Dental, and Vision Insurance with multiple plan options
  • Health Savings Account (HSA) with Brillio employer contributions and Flexible Spending Accounts (FSA)
  • Company-paid Life Insurance and Accidental Death & Dismemberment (AD&D) coverage
  • Short-Term and Long-Term Disability coverage
  • 401(k) retirement savings plan
  • Flexible Paid Time Off (Flexi-PTO) and paid company holidays
  • Paid Parental Leave including maternity, parental bonding, adoption, and surrogacy benefits
  • Employee Assistance Program (EAP) and wellness resources
  • Learning and Development programs including training and certification support
  • Student Loan Contribution Program for eligible employees
  • Employee discount and wellness programs including fitness, lifestyle, and family support benefits
  • Backup care support for children, elder care, and pets
  • Additional voluntary benefits including legal services, accident coverage, critical illness coverage, and pet insurance
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