Senior AI Product & Systems Manager | Fully Remote

World-Business-Lenders,-LL; Buenos Aires; À distance; ARS 227 766 000 - 334 057 000; Plein temps

Avantages offerts par ce poste

PTO

Fully remote work environment

Résumé du poste

BLV Applied Intelligence Products and Decision Systems is seeking a senior Intelligence Products and Systems Manager to lead two teams (two Team Leads and four Analysts) across BLV and Applied Intelligence products. You will shape roadmaps, drive product discovery, and oversee deployment, adoption, and retirement of AI-enabled solutions.

The role requires deep technical depth to prototype, evaluate approaches, and partner with Data Science, Data Engineering, and Software Engineering to deliver

Qualifications

• Twelve+ years in applied AI/ML, data science, software or analytics with leadership experience.
• Proven delivery of AI-enabled or model-driven capabilities into production.
• Experience coaching Team Leads and leading cross-functional teams.

Responsabilités

• Lead Intelligence Product Teams: coach two Team Leads and four Analysts.
• Own and prioritize roadmaps based on user needs, value, feasibility and data readiness.
• Manage portfolio, hire, and build succession coverage for key capabilities.
• Oversee discovery, prototyping, deployment, monitoring and retirement of products.
• Ensure products integrate with business processes and drive adoption.
• Develop business cases and guide discovery through to adoption.

Connaissances

Applied AI leadership

Product management

Cross-functional collaboration

Team leadership

AI/ML strategy

Prototyping & evaluation

Model-driven products

Risk & governance

Product discovery

Formation

Relevant education in CS/Engineering/Data Science

Outils

APIs for AI services

Description du poste

BLV Applied Intelligence Products and Decision Systems is seeking a senior Intelligence Products and Systems Manager to lead two teams (two Team Leads and four Analysts) across BLV and Applied Intelligence products. You will shape roadmaps, drive product discovery, and oversee deployment, adoption, and retirement of AI-enabled solutions.

The role requires deep technical depth to prototype, evaluate approaches, and partner with Data Science, Data Engineering, and Software Engineering to deliver