About the Role:We are seeking an experienced and visionary Data & AI Strategy Manager / Product Leader to drive data-driven transformation initiatives. This role is ideal for a hybrid leader with deep expertise in data strategy, cloud architecture, analytics product development, and AI/ML use case execution. You will work at the intersection of business strategy, technical innovation, and client delivery, owning the lifecycle of enterprise-scale data programs from conception to MVP development.Key Responsibilities: Strategic Leadership & Client EngagementDefine and deliver enterprise data strategies, governance models, and analytics roadmaps tailored to client needs.Own end-to-end engagement from proposal creation, stakeholder management, to final delivery and ongoing development phases.Conduct design thinking workshops and lead use case development and prioritization to align data solutions with business goals.Data Platform & Architecture DevelopmentLead architecture planning for centralized data platforms, focusing on enabling advanced analytics, real-time insights, and scalable infrastructure.Evaluate and recommend cloud providers (AWS, Azure, GCP) and define integration patterns with third-party data vendors.Direct technical teams in building minimum viable products (MVPs) that operationalize data strategies.Data GovernanceDevelop and implement robust Governance Strategies for Data and AI ecosystems, evaluating client requirements pertaining to data and AI governance; create comprehensive documentation to articulate the strategic vision; and harmonize stakeholder engagement. Embed data governance principles within AI and data analytics endeavors, acting as the linchpin of knowledge. AI/ML & Advanced AnalyticsGuide the development of supervised and unsupervised ML models to inform high-impact use cases (e.g., loan default prediction, collections strategy).Translate complex data insights into actionable strategies and visual storytelling for executives and stakeholders.Oversee the development of PowerBI dashboards and automation tools to streamline reporting and diagnostics.Cross-Functional Team ManagementLead multi-disciplinary teams of data engineers, analysts, and product owners using agile methodologies.Facilitate business and technical alignment through well-documented user stories, data models, and iterative delivery.Ensure successful integration and transformation of data pipelines supporting billions in financial transactions.