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Seeking a Senior AI Project Manager to lead AI and data-driven initiatives within a Broker Dealer & Wealth Management environment. This role owns delivery end-to-end-from project definition through deployment-while ensuring alignment between business objectives, data teams, and regulatory requirements.
Job Responsibility:
Lead AI and data-driven initiatives within a Broker Dealer & Wealth Management environment
Own delivery end-to-end-from project definition through deployment
Ensure alignment between business objectives, data teams, and regulatory requirements
Requirements:
7+ years of project or program management experience, including AI/ML or data-driven initiatives
Direct experience in Broker Dealer & Wealth Management environments (required)
Proven delivery experience in financial services or highly regulated environments
Hands-on experience managing large, complex programs with minimal supervision
Strong understanding of the AI/ML lifecycle: data pipelines, model training/testing, evaluation, deployment, and MLOps
Working knowledge of data quality, governance, bias, privacy, and ethical AI considerations
Familiarity with cloud platforms (AWS, Azure, or GCP) and AI/engineering tools (e.g., Jira, Git, TensorFlow, PyTorch)
Define and manage scope, schedule, cost, risk, resources, and quality
Create and maintain detailed project plans, milestones, dependencies, and reporting
Lead cross-functional teams including data scientists, ML engineers, data engineers, and business stakeholders
Own project governance: status reporting, risk/issue management, change control, and gate approvals
Ensure consistent use of project management methodologies, tools, and documentation standards
Translate business goals into technical requirements and technical outcomes into business value
Act as the primary stakeholder liaison, ensuring alignment and clear communication at all levels
Drive measurable outcomes, including ROI and value realization
Strong proficiency in Agile, Scrum, or hybrid delivery models
Advanced use of Jira, Confluence, and project/portfolio management tools
Experience leveraging automation or AI-assisted tools for planning, reporting, or risk management
Strong analytical, problem-solving, and decision-making capabilities
Excellent written and verbal communication skills
Proven ability to lead teams, manage conflict, and mentor project resources
High standards of ethics, accountability, and organizational discipline
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