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Beacon Hill · 1 day ago

Senior AI Project Manager - Broker Dealer & Wealth Management

Los Angeles County, CA

Full-time

Onsite

Senior Level

$90/hr - $90/hr

7+ years exp

Beacon Hill is a premier National Information Technology Staffing Group, and they are seeking a Senior AI Project Manager to lead AI and data-driven initiatives within a Broker Dealer & Wealth Management environment. This role involves managing project delivery from definition through deployment, ensuring alignment between business objectives, data teams, and regulatory requirements.

Staffing Agency

H1B Sponsor Likely

Responsibilities

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

Qualification

AI/ML lifecycleBroker Dealer experienceProject managementCloud platformsAgile methodologiesAnalytical skillsCommunication skillsTeam leadership

Required

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)