We are seeking a proactive and results-driven Project Manager to support the Enterprise Risk & Compliance Data Team's Advanced Analytics function. This role serves as the primary liaison between business stakeholders, data scientists, analytics engineers, IT partners, and development teams, ensuring data, analytics, and AI/ML initiatives are prioritized, governed, and delivered effectively.

The ideal candidate combines strong project management, data analytics, process and stakeholder engagement skills with an understanding of modern data platforms, AI/ML capabilities, and Agile delivery practices. They will play a critical role in translating business needs into actionable analytics solutions that drive operational efficiency, risk reduction, and business value.

Key Responsibilities

Project Leadership

• Lead end-to-end delivery of AI, machine learning, predictive analytics, and data product initiatives.
• Lead Project ceremonies including backlog refinement, planning, stakeholder reviews, and prioritization sessions.
• Collaborate with Data Scientists, Engineers, & IT Resources to operationalize machine learning models and AI-driven capabilities for Risk and Compliance.
• Identify risks, dependencies, and resource constraints while driving timely resolution.
• Provide leadership-level status reporting on project progress, budget, risks, and outcomes.
• Partner with business teams to gather requirements and define priorities.
• Translate business needs into actionable data tasks.
• Facilitate regular check-ins to align on progress and expectations.
• Translate complex technical concepts into clear business language for senior leadership.
• Facilitate workshops and requirements sessions to define business objectives and solution approaches.
• Drive user adoption through communication, training, and change management activities.

Advanced Analytics & AI Enablement

• Support model validation, monitoring, explainability, and governance requirements.
• Identify opportunities to automate manual processes through AI, machine learning, and advanced analytics.