Job Specifications
Description
Oversees AI/ML projects from ideation to deployment, bridging business goals, technical teams (e.g., data scientists, engineers), and stakeholders to deliver on time, within budget, and with high impact.
Responsibilities
Define scope, goals, timelines, budgets, milestones, and resource allocation; monitor progress, risks, and performance metrics.
Understand AI concepts, lifecycle (data prep, model training/deployment, monitoring); manage data readiness, model evaluation, and AI integration with existing systems.
Lead cross-functional teams; communicate requirements, set expectations, and align data engineering, AI, and business priorities.
Integrate AI tools for scheduling/risk assessment; ensure ethical AI, data privacy, regulatory compliance, and post-project evaluations
Prioritize initiatives, develop AI roadmaps, mitigate risks, and drive business value through data-driven decisions.
Qualifications
Data literacy, analytical thinking, AI lifecycle knowledge (e.g., CPMAI methodology), critical problem-solving, communication, and adaptability to AI changes.
Experience working with Claude, ChatGPT, etc. and driving projects around these tools.
Familiarity with AI tools, version control, project management software supporting data workflows.
Bachelor's in Computer Science, Data Science, Engineering, or related; experience in AI/ML projects.
Leadership, stakeholder relationship-building, ethical awareness.
About the Company
Madison-Davis is a leading executive search and temporary staffing firm specializing in financial services and technology. Founded in 1982 with a single purpose: to provide top-tier talent through a strategic approach and unparalleled subject matter expertise. We pride ourselves on the relationships we cultivate and the success of our placements, and our role in building highly-skilled workforces across financial services and technology. We have partnered with more than 1,000 companies across traditional finance, decentraliz...
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