Senior AI Product Owner - R01566192

Job requirements

We are 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).

 

Key Responsibilities

Product Ownership & Delivery

• 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.

AI & Analytics Enablement

• 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.

Construction Domain Engagement

• 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.

Client & Stakeholder Management

• 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.

 

Required Qualifications

Experience

• 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.

Technical Skills

• Strong understanding of:

    • AI/ML concepts and solution lifecycles

    • Analytics platforms and data ecosystems

    • Cloud platforms (GCP, Azure, or AWS)

    • APIs, data pipelines, and system integrations

• Ability to translate technical concepts into clear business‑focused outcomes.

 

Good to Have / Preferred

• 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.

 

Band C Expectations

• Strong individual contributor with end‑to‑end ownership of product delivery.

• Comfortable working independently in an onsite client environment.

• Hands‑on in backlog management, requirement definition, and stakeholder engagement.

 

Work Location & Travel

• This is an onsite role based in Santa Ana, California.

• Presence at the client location is required.

• Occasional travel within the US may be needed based on project demands.

 

Education

• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Analytics, or related field.

• Product management or agile certifications (CSPO, SAFe POPM, etc.) are a plus.

 

Know more about DAE: https://www.brillio.com/services-data-analytics/

Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

 

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.




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