• Lead strategic programs across the Data, AI, and Analytics domains, delivering high-impact initiatives in platform modernization, machine learning deployment, and data governance. • Partner with Data Engineering, Data Science, and Analytics leadership to define and sequence the Data roadmap, aligning scope and priorities with company objectives while driving effective prioritization and trade-off decisions across features, tech debt, and platform initiatives in an inherently ambiguous, fast-evolving environment. • Drive end-to-end delivery across multiple engineering squads, managing complex dependencies across data pipelines, modeling workflows, and analytics infrastructure — ensuring smooth delivery from ingestion to insight. • Drive the operationalization of AI models into production in partnership with MLOps and engineering teams, balancing innovation with compliance and performance. • Collaborate with Product and Business teams to ensure data and AI solutions drive measurable outcomes — from credit decisioning to fraud detection to customer engagement. • Drive delivery across third-party vendors and financial partners, ensuring integrated solutions meet program milestones, quality standards, and business objectives while proactively managing risks to scope and timeline. • Build strong partnerships across Security, Infrastructure, Compliance, Legal, Finance, and Risk to deliver efficient, resilient, and capital-effective solutions. • Champion Agile and CI/CD practices, elevating execution quality through repeatable, scalable delivery processes. • Act as a trusted advisor to senior leadership, providing clear, actionable communication on program health, risks, trade-offs, and dependencies. • Mentor TPMs and cross-functional partners, fostering a culture of technical excellence, ownership, and trust.