Project Manager, Data Analyst, Business Systems & Technology Analysis

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.

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.

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

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, or related field.

5-10 years of experience in project management, business analysis, data analytics, or data operations.

Experience managing cross-functional data, reporting, analytics, or technology projects.

Proficiency with Power BI, Excel, Jira, Confluence, and SQL.

Familiarity with Agile Scrum methodologies and project management frameworks.

Understanding of data warehousing, data modeling, and data governance principles

Preferred

Experience supporting AI/ML, predictive analytics, or data science initiatives.

Exposure to cloud-based data platforms such as Databricks, Snowflake, Azure, or similar technologies.

Experience managing analytics backlogs, roadmaps, and business stakeholder relationships.

Certifications such as PMP, Scrum Master, CBAP, or related credentials.

Familiarity with Agile Kanban methodologies and project management frameworks.

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