Job Description
Lead end-to-end delivery of complex AI and machine learning projects, including model development initiatives, AI platform implementations, intelligent automation solutions, and generative AI integrations. Drive projects through all lifecycle phases using hybrid methodologies (Agile, Scrum, Waterfall, MLOps) tailored to AI/ML project needs. Manage project scope, timeline, budget, and quality standards while navigating the unique challenges of AI projects (model performance, data requirements, ethical considerations).
Coordinate dependencies across data engineering, ML engineering, data science, and business stakeholder teams. Navigate the AI project lifecycle from use case identification through model training, validation, deployment, and monitoring.
Serve as primary point of contact for AI project teams, business owners, and executive sponsors. Deliver clear, concise communications including status reports, executive dashboards, and risk assessments tailored for both technical and non- technical audiences. Translate complex AI concepts and project progress into business value language for leadership.
About Vericast
Vericast is the financial institution (FI) performance partner, helping banks and credit unions drive growth, improve efficiency, increase engagement and navigate change.