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AI Process Manager

Job in New York, New York County, New York, 10261, USA
Listing for: BBVA
Full Time position
Listed on 2026-09-13
Job specializations:
  • Business
    Change Management, AI Business & Operations, Business Systems & Technology Analysis
  • IT/Tech
    Change Management, AI Business & Operations, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 130000 - 140000 USD Yearly USD 130000.00 140000.00 YEAR
Job Description & How to Apply Below
  • Lead and support process improvement, operational transformation, business-as-usual enhancement, and strategic change initiatives across CIB.
  • Identify, assess, and prioritize opportunities to improve processes, organizational design, role clarity, controls, productivity, client experience, and operational efficiency.
  • Partner with business, functional, technology, data, engineering, risk, compliance, legal, finance, operations, and control teams to define current-state challenges, design future-state processes, and secure stakeholder alignment.
  • Drive structured process assessments, including work observations, workflow analysis, data gathering, pain-point identification, root-cause analysis, productivity measurement, and KPI definition.
  • Apply design thinking and user-centric methods to understand business needs, simplify workflows, improve adoption, and design practical solutions that can be implemented at scale.
  • Support and advance the AI agenda for CIB, ensuring AI initiatives are connected to business priorities, client impact, operational efficiency, risk management, and revenue generation.
  • Identify, prioritize, and coordinate AI and agentic transformation initiatives with impact across clients, processes, controls, efficiency, scalability, and business growth.
  • Work closely with Data, Engineering, AI, and business teams to translate business needs into AI use cases, process automation opportunities, requirements, pilots, proof-of-concepts, and implementation roadmaps.
  • Help consolidate and coordinate AI transformation capabilities that may currently sit across different teams, ensuring a more integrated, business-led approach to execution.
  • Develop business cases, implementation plans, project charters, roadmaps, status updates, executive presentations, dashboards, and other senior management materials.
  • Plan and manage project tasks, timelines, risks, dependencies, stakeholder engagement, governance forums, and execution milestones.
  • Facilitate workshops, working sessions, interviews, and alignment meetings with senior stakeholders and subject-matter experts.
  • Define, measure, monitor, and report key performance indicators and expected benefits, including efficiency gains, cycle-time reduction, risk reduction, cost savings, productivity improvement, and business impact.
  • Create high-quality deliverables, including process maps, procedures, policies, operating models, workflows, RACI matrices, executive summaries, implementation plans, and management presentations.
  • Educate, coach, and support teams on business process management, process excellence, design thinking, AI adoption, and transformation methodologies.
  • Document processes, policies, procedures, controls, roles and responsibilities, and other key executive documentation required to support implementation, governance, and auditability.
Experience and Skills:
  • Strong experience in process improvement, business transformation, operational excellence, or change management.
  • Ability to assess complex processes and translate findings into clear recommendations and practical implementation plans.
  • Knowledge of process mapping, workflow design, operating model design, RACI definition, KPI development, and procedure documentation.
  • Experience working with cross-functional stakeholders across business, technology, data, engineering, operations, legal, compliance, risk, finance, and controls.
  • Strong understanding of AI, automation, data-driven transformation, and agentic AI use cases, or ability to quickly translate AI capabilities into business applications.
  • Ability to identify and prioritize AI use cases based on business value, feasibility, risk, scalability, and strategic alignment.
  • Strong analytical skills, including quantitative and qualitative analysis,…
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