The online ticket sales service Tutu.ru is looking for a CDO to lead the development of its data-driven direction and help transform data, analytics, ML, and AI into a sustainable source of business solutions and growth.
The CDO role is at the intersection of strategy, technology, team management, and business results. The goal is not just to develop analytics as a service, but to build a system where data helps to make faster decisions, identify growth opportunities, launch ML products, and enhance customer experience.
Responsibilities:
- Manage the data and analytics department. Responsibilities include product, marketing, HR analytics, BI, and customer service analytics.
- Implement the data strategy: Tutu Data/AI Vision, plans, priorities, and roadmap in conjunction with the business.
- Build unified processes and standards for working with data, analytical requests, metrics, and reporting.
- Lead the development of the ML platform.
- Define priority scenarios for ML and AI application, and launch solutions with a clear business impact.
- Develop teams, enhance the autonomy of leaders, and foster responsibility for results.
- Formulate approaches to data quality, availability, and management for employees, analytical systems, and agent AI solutions.
- Automate typical analytical tasks: reporting, dashboards, A/B tests, and recurring research.
- Assist analytics in transitioning from reactive request processing to proactive insight, hypothesis, and product opportunity discovery.
- Negotiate with stakeholders, help the business formulate tasks through data, and select solutions that deliver measurable effects.
Candidate Expectations:
- Practical and systematic experience applying AI in daily work, as well as readiness to implement and scale such approaches within the team.
- Experience managing a large data function or a comparable scale department for at least 2 years.
- Expertise in at least two of the following areas: analytics, machine learning, data engineering, and building analytical platforms.
- Experience in managing teams and developing leaders.
- Experience working with analytical platforms, BI tools, and a wide range of internal users.
- Ability to connect technical solutions with business objectives.
- Experience in building processes that help teams work not only faster but also with higher quality: with clear metrics, priorities, and areas of responsibility.
- Ability to maintain strategic focus while delving into details: from data quality to the business impact of ML scenarios.
- Ability to negotiate with stakeholders, explain complex things in simple terms, and help various teams make data-driven decisions.
Will be a plus:
- Experience in transforming analytics: for example, from a centralized model to a federated one, or from a service function to a proactive business partner.
- Experience implementing ML products with measurable business impact.
- Experience building data governance and data quality practices in a complex technological environment.
- Experience developing an AI direction within a large product or technology company.
About the Team and Work Format:
- The data department has a headcount of up to 100 people.
- The role involves regular interaction with business, product, IT, marketing, HR, customer service, and other Tutu.ru teams.
- Work schedule is 5/2 in a hybrid format. The office is located in Moscow. Regular presence in the office is important for this role.
