Position: VP of Data / Head of Data / Data Team Lead /  Data Product Manager /  Data Delivery Manager
Category: Lead
English level: fluent
Years of experience: 9

•	Developing the Data practice. Last two years' KPI improvements for the data practice:
o	Set up Data Analysts and BI engineers’ team from scratch.
o	Team growth + 36 people
o	Profitability growth: + 40%
o	15+ new teams and projects started.
•	Successful work in different business and technologies domains: Enterprise, Data Science, Data Management, Data Governance and Security, Analytics, Business Intelligence, Health Insurance, Automotive, Education, Blockchain, Cloud, etc.
•	Developing and implementing R&D process for the company's 2000+ employees.
•	Solution architecture experience with Big Data/Data science eco-system: Open-Source (Spark, Airflow, Kafka, Presto), Machine Learning and AI (TensorFlow, AWS SageMaker, MLflow, Spark ML, Sci-kit, PyTorch, XGBoost, LLMs, ChatGpt integrations, etc.), BI (Tableau, Power BI, Looker, Redash), DWH/DB (Snowflake, BigQuery, MSSQL, PostgreSQL),  Amazon Web Services (AWS) (S3, Lambda, Glue, Redshift, EMR, Data Pipeline, Kinesis), Google Cloud and Azure Data Services.
From a business analyst and engineer to a successful manager and team leader with extensive professional experience in different domains and techniques, able to see the big picture while paying attention to small details. I keenly understand the development specifics, delivery and product management, and business analysis. I lead a rock-star BI, Data Scientists, and Data Engineers, team. Support the growth of my team members, sharing my experience and skills through training and mentoring.

I have experience in 
•	Managing resources for all Data directions in the company: Data science, ML, Big data engineering, BI, etc.
•	Presale and discovery activities connected to any Data project, reviewing solutions for compliance with business needs and requirements, and collaborating with other data experts to cover all needed tech stacks for the solution.
•	Providing strategic technology guidance to our Capabilities within the company and our clients.
•	Research, explore, and evaluate the latest data technologies and methodologies, continuously looking to improve my own skill set.
•	Support the growth of our team members, sharing my experience and skills through training and mentoring. 
•	Leading and mentoring of environment that allows everyone to flourish, individually and collectively, coaching and guiding people rather than giving directives.