Senior AI Product Owner - R01566192
Brillio•Santa Ana, CA
•Onsite
About The Position
Brillio is seeking a Senior Product Owner with a strong AI and analytics background to work onsite in Santa Ana, CA, leading AI-driven product initiatives for a strategic client in the construction and built-environment domain. This role is highly client-facing and delivery-oriented, requiring close collaboration with construction SMEs, business stakeholders, and engineering teams. The ideal candidate brings strong product ownership skills, hands-on understanding of AI/ML solutions, and nice-to-have domain exposure to Division 8 (doors, frames, hardware, glazing systems).
Requirements
- 8–12+ years of overall experience across product management, analytics, AI/ML, or enterprise technology delivery.
- 4–6+ years of experience as a Product Owner or Product Manager for data- or AI-driven products.
- Proven experience working onsite with US clients, preferably in consulting or enterprise delivery environments.
- Early-career hands-on experience in analytics, data engineering, data science, or software engineering.
- Strong understanding of AI/ML concepts and solution lifecycles.
- Strong understanding of Analytics platforms and data ecosystems.
- Strong understanding of Cloud platforms (GCP, Azure, or AWS).
- Strong understanding of APIs, data pipelines, and system integrations.
- Ability to translate technical concepts into clear business-focused outcomes.
- Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Analytics, or related field.
Nice To Haves
- Domain exposure to Division 8 (doors, frames, hardware, glazing systems).
- Experience in the construction or built-environment industry.
- Division 8 domain knowledge (doors, frames, hardware, glazing systems).
- Exposure to ConTech platforms, BIM/CAD workflows, or blueprint/document analytics.
- Experience applying Computer Vision or GenAI in industrial or operational settings.
- Product management or agile certifications (CSPO, SAFe POPM, etc.) are a plus.
Responsibilities
- Own the product backlog, roadmap, and sprint priorities for AI and analytics initiatives.
- Translate business needs into detailed user stories, acceptance criteria, and product requirements.
- Drive sprint planning, backlog grooming, demos, and release readiness.
- Ensure predictable delivery, quality outcomes, and alignment with client priorities.
- Lead AI-enabled use cases including: Predictive and operational analytics, Machine Learning solutions, Computer Vision (drawings, images, site inspections), Document intelligence, OCR, and GenAI / LLM-based applications.
- Collaborate closely with data science and engineering teams on solution design, experimentation, and production deployment.
- Support AI lifecycle governance, performance tracking, and continuous improvement.
- Work onsite with client stakeholders across construction operations, estimation, procurement, and project delivery.
- Apply construction domain context to shape meaningful AI and analytics features.
- Leverage Division 8 knowledge (doors, frames, hardware, glazing, access systems) where applicable to inform product decisions.
- Bridge communication between construction SMEs and technical delivery teams.
- Act as the primary onsite point of contact for product-related discussions.
- Facilitate workshops, requirement discussions, and solution walkthroughs.
- Provide regular updates on progress, risks, and dependencies to client leadership.
- Coordinate effectively with offshore and near-shore delivery teams.
Benefits
- Great Place to Work® certification
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What This Job Offers
Job Type
Full-time
Career Level
Senior
