We are seeking a highly versatile and client-facingAssociate Director AnalyticstodriveAI and analytics transformationinitiatives 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 ofAI/ML and analytics strategy construction domain workflows and operational intelligenceproduct ownership and stakeholder managementdata engineering and application architectureandfull-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:
1015 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 / / 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
BIM/CAD data workflows
AI-powered operational platforms
Industrial AI or field operations analytics
Digital transformation consulting
Education:
Bachelors or Masters 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
$144000 - $198000 a year
Disclaimer: The salary other compensation and benefits information is accurate as of the date of this posting and is location specific. Brillio reserves the right to modify this information at any time based on applicable policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Director
Role Brief:We are seeking a highly versatile and client-facingAssociate Director AnalyticstodriveAI and analytics transformationinitiatives for strategic clients in the construction and built-environment domain. This role blends the responsibilities of a product owner analytics consultant solution a...
Role Brief:
We are seeking a highly versatile and client-facingAssociate Director AnalyticstodriveAI and analytics transformationinitiatives 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 ofAI/ML and analytics strategy construction domain workflows and operational intelligenceproduct ownership and stakeholder managementdata engineering and application architectureandfull-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:
1015 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 / / 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
BIM/CAD data workflows
AI-powered operational platforms
Industrial AI or field operations analytics
Digital transformation consulting
Education:
Bachelors or Masters 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
$144000 - $198000 a year
Disclaimer: The salary other compensation and benefits information is accurate as of the date of this posting and is location specific. Brillio reserves the right to modify this information at any time based on applicable policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
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