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.
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.
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.
- Familiarity with Azure/ preferably GCP ecosystems.
- Understanding of CI/CD, MLOps, containerization, and deployment strategies.
Desired Candidate Profile:- 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.
Preferred Background:- Construction technology (ConTech)
- Blueprint/document intelligence
- Estimation or procurement analytics
- AI-powered operational platforms
- Industrial AI or field operations analytics
- Digital transformation consulting
Education:- 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.
Benefits:Brillio offers a comprehensive benefits program for this position, subject to applicable eligibility requirements:
• 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
Salary: 144,000-198,000 USD per year salary 
