measurable success metrics. Identify and evaluate AI, machine learning, automation, analytics, and data-led use cases that improve customer experiences, risk management, decision-making, and operational efficiency. Partner with Data & Analytics, Engineering, and Architecture teams to define data requirements, integration requirements, APIs, workflows, interoperability standards, and AI model … software development lifecycles, roadmap management, requirements definition, and customer-facing product launches. Experience building business cases, defining success metrics, using data to drive decision-making, and leading product initiatives from concept through execution and adoption. Familiarity with APIs, integrations, cloud platforms, analytics solutions, data architectures, enterprise SaaS platforms ...