Описание

Manage the full cycle of AI/ML initiatives – from requirements gathering and assessment to industrial launch.
Interact with business customers, form implementation plans and agree on expected results.
Coordinate the work of cross-functional teams: Data Science, ML Engineering, Data Engineering, Platform and related IT departments.
Manage deadlines, resources, dependencies, and implementation risks.
Together with technical teams, define AI/ML solution implementation options and estimate labor costs.
Ensure the integration of models and AI services into existing bank business processes and IT systems.
Monitor the execution of roadmaps, compliance with deadlines, and achievement of agreed KPIs.
Participate in prioritizing initiatives, assessing business impact, and forming plans for AI development.
Identify system limitations, optimize development processes, and reduce Time-to-Market for AI solutions.

IT project or program management experience of 3+ years.
Experience in implementing projects in AI/ML, Data, or complex corporate IT systems.
Understanding of the ML model lifecycle – from data research and training to industrial implementation and monitoring.
Experience in managing cross-functional teams and interacting with business customers.
Ability to decompose complex tasks, estimate timelines and resources, and manage dependencies and risks.
Understanding of corporate IT system principles, integrations, and development processes.
Skills in project portfolio management, roadmap formation, and execution control.
Ability to dive into technical details, discuss architectural solutions with engineers, and translate business requirements into specific tasks.
Independence, systemic thinking, and result orientation.

Experience in banking or large technology companies.
Understanding of MLOps, Feature Store, ML infrastructure, and industrial inference processes.
Experience in implementing GenAI, LLM, RAG, or AI agents.
Experience managing budgets and evaluating the economic efficiency of IT initiatives.
Experience with high-load systems and real-time solutions.

AI/ML Delivery Manager