Scrum Master - Finance Data Delivery Manager – Analytics, Insights & Artificial Intelligence

Serve as Scrum Master and Delivery Manager for Finance Data, Analytics, and AI initiatives.,Champion Agile and Lean practices aligned to enterprise delivery standards.,Facilitate all Agile ceremonies: sprint planning, stand-ups, reviews, retrospectives, and PI planning.,Enable high-performing, self-organizing teams, fostering psychological safety and shared accountability.,Drive continuous improvement through delivery metrics, insights, and retrospectives.,Lead delivery of strategic finance data and analytics initiatives, ensuring alignment to business priorities.,Support AI and advanced analytics programs, including iterative experimentation, model development, and deployment workflows.,Partner with Stakeholders to translate complex data and AI work into clear, value-driven Agile increments.,Navigate ambiguity inherent in emerging technologies while maintaining delivery discipline.,Manage cross-team dependencies, risks, and impediments across data and technology workstreams.,Partner closely with Product Owners, pillar leads, and executive stakeholders to define and prioritize backlogs and roadmaps.,Align delivery execution with finance data strategy, governance models, and regulatory requirements.,Support delivery controls, checkpoints, and reporting in a risk- and control-focused environment.,Ensure transparency, accountability, and timely escalation of delivery issues.

Proven experience (minimum 6 years) as a Scrum Master or Agile Delivery Lead (not just participating on Agile teams).,Strong working knowledge of Scrum, Kanban, and scaled Agile frameworks (e.g., SAFe).,Experience with hands-on facilitation of all core Agile ceremonies.,Demonstrated success delivering finance, data, analytics, or transformation initiatives in a large organization.,Experience of operating in financial services or other regulated environments.,Ability to deliver against strategic roadmaps.,Ability to translate complex finance, regulatory, or data concepts into clear visual narratives (e.g., PowerPoint/Power BI).,Experience building executive-ready decks, decision briefs, and transformation updates with strong visual design.,Preferred experience with artificial intelligence (AI) applications in finance data, including Python and SQL for data analysis, automation, and insight generation.,Experience supporting delivery of data platforms, analytics, AI, or machine learning initiatives.,Familiarity with governance, controls, and lifecycle considerations for analytics and AI solutions.,Ability to bridge conversations between business, data, and technology teams.,Familiarity with iterative experimentation, model lifecycle checkpoints, or AI governance concepts.,Ability to translate complex analytics work into Agile increments.,Agile certification (CSM, PSM, SAFe, or equivalent) - Must Have.,PMP certification (preferred).

Expected to be onsite 4 days a week.