Intelligence Products and Systems Manager

World Business Lenders, LLC; Brasil; On-site; BRL 480,000 - 720,000; Full time

Job summary

World Business Lenders, LLC is seeking an experienced Intelligence Products and Systems Manager to lead two team leads and four analysts in delivering AI-enabled, model-driven, and decision-support products. This senior role reports to the Chief Data and Analytics Officer and shapes the portfolio from discovery through retirement.

You will collaborate across Data Science, Data Engineering, Software Engineering, and business owners to ensure measurable outcomes and strong governance of models and

Qualifications

• Twelve or more years of progressive experience across applied AI/ML, data science, software, analytics, decision systems, or technical product development.
• At least five years of people leadership and experience leading Team Leads, managers, or senior technical staff.
• Delivery of AI-enabled or model-driven capabilities into production environments.
• Ability to coach Team Leads, develop technical/product talent, and manage a portfolio.

Responsibilities

• Lead Intelligence Product Teams by coaching two Team Leads and four Analysts with clear ownership and accountability.
• Own and prioritize product roadmaps based on user needs, business value, feasibility, data readiness, and risk.
• Oversee product discovery, prototyping, deployment, monitoring, and retirement with measurable outcomes.
• Govern models and systems with controls for evaluation, explainability, privacy, and security, coordinating independent validation as needed.
• Coordinate user enablement with Business Applications and ensure adoption across business processes.

Skills

Leadership

Product management

AI/ML

Data science

Cross-functional collaboration

Education

Relevant education in computer science, engineering, data science, mathematics, product management

Job description

Intelligence Products and Systems Manager

BLV Applied Intelligence Products and Decision Systems Reports to: Chief Data and Analytics Officer Department: IDEA - Intelligence, Data, Engineering & Analytics Team structure: Two Team Leads and four Analysts across BLV and Applied Intelligence Products

Position Summary

The Intelligence Products and Systems Manager is the senior hands‑on product leader for BLV and WBL's broader portfolio of applied intelligence products. Reporting to the CDAO, this role manages through two Team Leads, each responsible for two Analysts. One team owns BLV, the corporate valuation product; Applied Intelligence Products owns the broader portfolio of AI-enabled, model-driven, rules-based, and decision-support products. The Manager identifies high‑value business problems, determines where AI/ML, rules, optimization, document intelligence, or other approaches are appropriate, and leads products from discovery and business case through requirements, acceptance, deployment, adoption, monitoring, improvement, and retirement. The role requires enough technical depth to prototype, evaluate approaches, challenge evidence, and diagnose product performance while working across Data Science, Data Engineering, Software Engineering, Business Applications, and business owners.

Core Responsibilities

Lead Intelligence Product Teams Manage, coach, and develop two Team Leads and four Analysts, with clear ownership, technical standards, feedback, and accountability. Own and prioritize product roadmaps based on user needs, business value, feasibility, data readiness, operational risk, and capacity, with clear success measures and acceptance criteria for each initiative. Own the product portfolio and resource plan; hire, assess performance, develop Team Leads, and build succession coverage for critical product capabilities. Maintain regular hands‑on involvement in priority delivery. Build and Operate Intelligence Products Oversee product discovery, prototyping, acceptance, deployment into business use, monitoring, improvement, and retirement. Analytics / Data Science owns analytical methods, predictive model development, and model-performance evidence; Software Engineering owns application architecture, implementation, and release quality. Ensure each product integrates into business processes, supports appropriate human oversight and user adoption, and delivers measurable outcomes. Own product acceptance against agreed criteria; business owners approve policy, intended use, and operating decisions. Coordinate user enablement with Business Applications. Develop product business cases and lead discovery through adoption; use evidence of value, feasibility, and risk to recommend which products to fund, scale, improve, or retire. Govern Models and Systems Establish product controls for evaluation, documentation, explainability, privacy, security, change control, monitoring, and responsible use. Coordinate any required independent validation and business approval separately from development and product acceptance. Own product performance monitoring, exception triage, escalation, and corrective-action follow-through. Route model issues to Data Science, data issues to Data Engineering, and software defects to Software Engineering; coordinate user communication with Business Applications. Review product outcomes with senior business leaders, challenge weak performance evidence, and adjust priorities and controls as user needs and operating conditions change.

Education

Relevant education or professional training in computer science, engineering, data science, mathematics, product management, or a related technical discipline is valued. Demonstrated product judgment, technical depth, leadership, and production delivery experience are the primary qualifications; a degree is not mandatory.

Required Experience

Twelve or more years of progressive experience across applied AI/ML, data science, software, analytics, decision systems, or technical product development, including at least five years of people leadership and meaningful experience leading Team Leads, managers, or senior technical/product staff. Must have demonstrated delivery of AI-enabled or model-driven capabilities into real production use. Demonstrated success building, scaling, or materially improving an applied intelligence, AI product, decision-product, or technical product capability. Must be able to coach Team Leads, develop technical/product talent, own and prioritize a portfolio, write clear product requirements and acceptance criteria, and deliver usable production products with cross‑functional teams. Must have experience making funding, sequencing, and trade‑off decisions with senior business leaders. Recent hands‑on product and technical delivery is required; this is not a management‑only role. Experience taking AI-enabled or analytical products from ambiguous business problem through discovery, business case, prototype, requirements, acceptan