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BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers.

About the job:

Position Summary

We are seeking an experienced Associate, AI Solutions & Analytics to lead the adoption of data and AI capabilities across the organization while developing scalable data products that accelerate business decision-making. This leadership role designs solutions, develops analytical capabilities, and defines the functional scope of initiatives by working closely with business teams to translate their needs into scalable AI products and capabilities.

The ideal candidate is a data specialist with 10+ years of experience in analytics, business intelligence, or data engineering, with a proven ability to lead complex initiatives, influence senior stakeholders, develop self-service analytics capabilities, and deliver measurable business impact.

Key Responsibilities

• Lead data and AI enablement initiatives, including onboarding, training, and adoption programs for business teams.
• Design and deliver business-ready data products and self-service analytics solutions for both technical and non-technical users.
• Partner with business and technology leaders to define KPIs, identify opportunities, and translate business needs into scalable data solutions.
• Build and optimize data models, analytical datasets, dashboards, and reporting capabilities.
• Support enterprise transformation initiatives by embedding data and AI into business processes and operating models.
• Promote data governance, quality, and analytics best practices while balancing speed and business value.
• Mentor team members and foster a culture of data-driven decision-making and continuous improvement.

Required Qualifications

• **Associate-level experience or 10+ years of progressive experience in Data Analytics, Business Intelligence, Data Engineering, or related disciplines.**
• Proven experience leading enterprise-wide data initiatives and delivering measurable business impact in complex organizations.
• Experience implementing scalable data processes and self-service analytics platforms serving large user communities.
• Strong executive presence with exceptional stakeholder management, communication, and cross-functional leadership skills.
• Authorization to work in the United States without current or future employer sponsorship is required.

Technical Skills Required

• Expert SQL
• Advanced Python
• Strong understanding of modern data architecture and analytics engineering

Languages

• English – Full Professional Proficiency
• Spanish – Professional Proficiency preferred

Preferred Profile

The ideal candidate is a strategic data leader with a proven track record of building high-performing analytics organizations, delivering data products, and accelerating the adoption of data and AI capabilities. Experience leading cross-functional transformation initiatives within global organizations and influencing senior executives is highly valued.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

With respect to this position in our New York Office, the expected base salary ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus.

*Employment eligibility to work with BBVA in the U.S. is required as the company will not pursue visa sponsorship for these positions

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Legal requirements

It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications obtained. Market and organizational factors are al…