AI Data Engineering Lead, Vice President
Core
Lead a multi-team organization of AI agent engineers and data scientists to conceive, design, and execute AI-powered data and knowledge products.
Role type
VP AI Data Engineering Lead (Senior, strategy & mentorship)
Builds
Commercialized knowledge products powered by multi-agent, GenAI, and Vision AI workflows
Domain
Financial services / AI Engineering
Deliverable
production ML models | product features
Required skills
AI solution design, GenAI/LLM capabilities, Vision AI, multi-agent workflows, scaled Agile delivery, cross-team dependency management, backlog management, AI product lifecycle, output-quality governance, responsible AI principles
Preferred skills
Executive-level communication, strategic thinking, business acumen, team building, organizational design
Technologies
Jira, Confluence, Miro
Responsibilities
Lead team of AI agent engineers and data scientists, own end-to-end solution design for complex AI features, drive backlog prioritization, run sprint planning and retrospectives, engage as bridge between Product Management and AI engineering, define quality standards for user story delivery, lead post-implementation validation, coach and mentor team members, shape organizational design for AI data engineering function
Seniority
VP, strategy & mentorship
