AI Solutions & Analytics Lead (Data Products)

BBVA; United States; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Discretionary bonus

Employee benefits package

Job summary

BBVA USA is seeking an Associate, AI Solutions & Analytics to lead the adoption of data and AI capabilities across the enterprise, building scalable data products to accelerate decision-making. The role demands a data expert with 10+ years in analytics, BI, or data engineering and a track record of delivering measurable business impact.

The successful candidate will design solutions, mentor teams, and partner with business and technology leaders to define KPIs, develop self-service analytics,

Qualifications

• Associate-level experience or 10+ years in Data Analytics, BI, or Data Engineering.
• Experience leading enterprise data initiatives with measurable business impact.
• Experience building scalable data processes and self-service analytics for large user bases.
• Strong executive presence with stakeholder management and cross-functional leadership.
• Authorization to work in the United States without sponsorship.

Responsibilities

• Lead data and AI enablement initiatives, including onboarding and adoption programs for business teams.
• Design and deliver business-ready data products and self-service analytics for technical and non-technical users.
• Partner with business and technology leaders to define KPIs and translate needs into scalable data solutions.
• Build and optimize data models, datasets, dashboards, and reporting capabilities.
• Promote data governance and analytics best practices while balancing speed and value.
• Mentor team members and foster data-driven decision-making.

Skills

SQL

Python

Data architecture

Stakeholder management

Spanish

English proficiency

Job description

BBVA USA is seeking an Associate, AI Solutions & Analytics to lead the adoption of data and AI capabilities across the enterprise, building scalable data products to accelerate decision-making. The role demands a data expert with 10+ years in analytics, BI, or data engineering and a track record of delivering measurable business impact.

The successful candidate will design solutions, mentor teams, and partner with business and technology leaders to define KPIs, develop self-service analytics,