Services use cases, translating strategic priorities into a sequenced program plan with clear planning rhythm, clear milestones, timelines, deliverables, and governance structures for service delivery improvement, while maintaining alignment to Wealth Management business goals and broader organization strategy, and integrating strategic IT planning and technology projects to support business objectives and technological change. Managed resource allocation, budgeting and scheduling for HR and Payroll modernization and AI initiatives, coordinating recruitment and selection and contractor oversight to control costs and ensure project financial governance and delivery against planned milestones, including preparation of funding requests and executive summary updates using Microsoft Office Suite, and standardized presentation templates for steering committee updates, while providing executive ownership over technology operations and infrastructure planning to meet business objectives and support flexible schedule engagements. Orchestrated enterprise data migrations to Dynamics 365, Salesforce and Business Central with Power BI-enabled executive dashboards and reporting; owned program-level approvals, progress tracking, issue and risk management, and cross-functional integration to maintain timelines and stakeholder alignment, leveraging Project Management Office standards, standardized templates, and planning cadences to support implementation across cross-functional initiatives, and strengthening cloud migration governance and business intelligence and analytics to improve executive decision-making. Led deployment of an AI innovation program (chatbots, NLP automation, predictive analytics) to improve client channels and reduce cycle times by 30%, overseeing vendor relationships, SLAs and delivery expectations while ensuring secure, scalable operations, and influencing stakeholders through relationship building and leadership skills to drive productivity improvement, including interview-based feedback collection to refine presentation materials and governance templates, and mentoring technology teams to foster technological innovation aligned with business objectives. Designed Kafka-based streaming services and implemented ML validation and monitoring pipelines to support production reliability and governance for model performance and data quality. Drove agile, pod-based delivery across data science, ML Ops and engineering—establishing RACI, CI/CD practices, and program reporting to translate business requirements into measured feature rollouts and accountable releases, acting as an executive thought partner to CEOs and CIOs on IT strategy and technological change to align platforms and infrastructure with business objectives.