AI Transformation Compliance & Non-Financial Risk Senior Associate

BBVA•New York, NY

1d•$120,000 - $145,000

About The Position

BBVA is seeking an AI transformation professional to accelerate the adoption of artificial intelligence across Compliance and Non-Financial Risk. The role connects business, Compliance and risk-management needs with AI capabilities, taking opportunities from initial discovery through prototyping, controlled implementation, adoption and measurement of value. It is a practical, cross-functional position that does not require the candidate to be a software engineer or a career Compliance specialist, but does require an interest in Compliance, risk management and financial-institution controls. The position involves partnering with Compliance and Non-Financial Risk teams to understand processes, challenges and control needs, then designing, building and testing AI-enabled solutions with subject-matter experts. Work may involve Generative AI, agentic AI, advanced analytics and automation. Potential use cases include regulatory intelligence and change, risk assessments, AML and sanctions analysis, monitoring and testing, knowledge and research, management information and executive reporting, KRIs and KPIs, emerging-risk and issue analysis, policy and control-gap analysis, and automating information-intensive processes. These examples are not a fixed roadmap; the role will help discover opportunities and determine where AI can deliver value with appropriate controls. The role brings together Compliance, Non-Financial Risk, Technology, Data, Model Risk, Information Security, Privacy, Legal and other stakeholders. It assesses opportunity value and feasibility, develops and iterates prototypes with user feedback, supports adoption and integration into existing processes, and identifies reusable capabilities that can serve multiple teams. It also shares good practices and lessons learned, and helps teams understand both AI's practical capabilities and limitations. AI solutions must meet the governance, control and accountability standards expected of a financial institution. The role works with relevant teams to consider information protection, privacy, security, accuracy, testing, explainability, human oversight, traceability, model risk and regulatory accountability. It helps determine where AI can support professional judgment and where human review remains necessary, with the aim of improving risk identification, controls, analytical coverage, insights, process efficiency and productivity. The position is based in BBVA's New York Office. Candidates must be eligible to work in the U.S.; BBVA will not pursue visa sponsorship for this position.

Requirements

Bachelor’s degree required.
At least 5 years of experience in Compliance, Risk, strategy, transformation, business, technology, data, analytics, automation or process improvement.
Hands-on experience using Generative AI to solve business problems, including identifying use cases, developing prototypes, testing with users and iterating based on feedback.
Strong knowledge of the evolving AI landscape, particularly OpenAI and Google's enterprise AI ecosystems and agentic capabilities, including ChatGPT Work, Gemini Enterprise and Google Flows.
Good understanding of prompting, AI assistants and agents, workflow automation, knowledge-based AI solutions, and connecting AI with enterprise information and applications.
Ability to assess opportunities for value and feasibility and identify relevant technology, data, security, governance and operational dependencies.
Experience working across different areas and bringing together stakeholders with different expertise and priorities.
Genuine interest in Compliance, risk management and how AI can strengthen control activities.
Ability to understand complex regulatory and control problems, identify underlying needs and translate them into practical solutions.
Ability to learn unfamiliar regulatory and risk domains quickly and work effectively amid ambiguity.
Strong communication and listening skills, with the ability to build trust with Compliance and Risk professionals, senior leaders and technical teams.
Collaborative approach, autonomy, initiative, pragmatism and sound judgment about where AI can and cannot create value.
Sensitivity to the regulatory, operational, reputational, data and ethical implications of AI.
U.S. employment eligibility; visa sponsorship will not be pursued.

Nice To Haves

Knowledge of BBVA, its organization, culture and ways of working.

Responsibilities

Partner with Compliance and Non-Financial Risk teams to understand processes, challenges and control needs and identify practical AI opportunities.
Design, build and test AI-enabled solutions with subject-matter experts using BBVA's available AI capabilities and platforms.
Assess opportunity value and feasibility, including information, data, applications, integrations, governance and other dependencies.
Coordinate stakeholders across Compliance, Non-Financial Risk, Technology, Data, Model Risk, Information Security, Privacy, Legal and other disciplines to advance use cases from idea to prototype, controlled implementation and measurable value.
Develop prototypes, test them with users and iterate based on feedback.
Help teams adopt AI capabilities and integrate them into existing processes, controls and ways of working.
Identify reusable AI capabilities that can address similar needs across teams.
Translate AI developments into practical opportunities for Compliance and Non-Financial Risk, and explain the technology's capabilities and limitations.
Share good practices, working methods and lessons learned across the Compliance and Risk community.
Promote responsible, secure and controlled AI use aligned with BBVA governance, information-protection, risk-management and control frameworks.
Work with relevant teams to address information protection, privacy, security, accuracy, testing, explainability, human oversight, traceability, model risk and regulatory accountability.
Consider where AI may augment professional judgment and where human review and oversight remain necessary.