Data Scientist/ Project Management (AI / Data)

JOB OVERVIEW The Data Scientist/ Project Manager serves as the critical bridge between strategic business vision and successful AI delivery. This role is dedicated to leading end-to-end Data Science and AI projects by translating complex business challenges, pain points, and requirements into clearly defined project objectives, actionable plans, and high-impact solutions. By balancing strong business acumen with technical delivery leadership, the incumbent manages project risks, aligns cross-functional technical teams, and guides solutions across the entire project lifecycle-from ideation and prototyping to production deployment and official release. Ultimately, this role ensures seamless stakeholder alignment, high-quality execution, and the successful handover of scalable AI initiatives to operational teams. Core Focus Areas • End-to-End Delivery Leadership: Managing the full project lifecycle from initial problem definition, scoping, and milestone tracking to user testing, production deployment, and project closure. • Stakeholder Engagement & Vision Alignment: Engaging directly with business stakeholders to understand pain points, shape project goals, and communicate complex outcomes in a business-friendly manner. • Business-to-Technical Translation: Converting high-level business vision and challenges into precise project scopes, actionable tasks, clear deliverables, and defined success criteria. • Cross-Functional Collaboration: Partnering closely with Technical Leads, Data Scientists, and Engineers to ensure proposed solutions are technically feasible and aligned with business needs. • Risk Management & Governance: Proactively identifying and mitigating project risks, issues, and dependencies while ensuring required documentation, approvals, and operational handovers are completed. #J-18808-Ljbffr