Обязанности:
!Work only in the office in Moscow!The IT Solutions and Data Warehouse/Analytics Lead will lead the development and implementation of critical IT solutions with a primary focus on building and scaling the company’s Data Warehouse and analytics platforms. This role is responsible for defining and executing the framework for backend data methodologies, ensuring data integrity and accessibility for enterprise-wide analytics. As a key member of the IT Management team, this role will collaborate closely with the CIO to align data and IT strategies with the company's business objectives. The Senior Manager will also oversee the development of future enterprise data warehouses, analytics, and reporting capabilities that drive strategic decision-making. Key ResponsibilitiesLeadership & Strategic Development: - Partner with the CIO to create and implement IT strategies that focus on the development of robust IT solutions and data management capabilities. - Lead the design and execution of the company’s Data Warehouse and analytics platforms, ensuring scalability and alignment with future enterprise needs. - Establish a strategic roadmap for the continuous improvement of data-driven technologies and analytics systems, including insourcing and outsourcing strategies. - Serve as a key member of the IT Management team, offering insights and direction on technology initiatives and data governance. IT Solutions & Development: - Oversee the design, development, and deployment of IT solutions, including enterprise system upgrades like the 1S project and other in-house systems. - Manage the development of backend data management frameworks and methodologies to ensure secure, efficient, and scalable data architecture. - Lead and manage IT projects, ensuring they meet business needs, are delivered on time, and stay within budget. Data Warehouse & Analytics Development: - Develop and implement the architectural framework for the company’s Data Warehouse, ensuring the scalability to accommodate future enterprise data needs. - Lead the design and integration of analytics tools and platforms that drive data insights and decision-making across business units. - Ensure the efficient collection, storage, and accessibility of data for reporting and analytics while implementing data governance and best practices for security and compliance. - Work with cross-functional teams to develop comprehensive data models, ETL processes, and reporting mechanisms that support real-time and predictive analytics. - Provide leadership in building the future enterprise data warehouse, ensuring it supports long-term business growth and agility.Data Management & Governance: - Ensure data governance policies and procedures are in place, ensuring data integrity, security, and accessibility. - Establish and enforce best practices for data management, including data quality, master data management, and metadata management. - Monitor and optimize the performance of the data warehouse, ensuring minimal downtime, data accuracy, and optimized query performance. Collaboration & Stakeholder Engagement: - Work closely with business leaders and teams to understand data requirements and ensure the Data Warehouse and analytics solutions meet their needs. - Collaborate with external vendors, service providers, and other stakeholders to ensure the seamless integration of outsourced IT and data solutions with in-house systems. - Drive a data-first culture across the organization, encouraging data literacy and the use of analytics in decision-making processes. Team Leadership & Development: - Lead and mentor a team of IT professionals, including data engineers, developers, and analysts, providing guidance and fostering professional growth. - Promote an environment of continuous learning, innovation, and collaboration within the IT and data teams. - Ensure the team remains aligned with the strategic goals of the organization and is equipped to implement the latest data management and analytics technologies. Qualifications: - Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field (Master’s degree preferred). - 7-10 years of experience in IT management, with significant experience in data warehouse architecture, analytics, and IT solutions development. - Proven experience building and managing enterprise data warehouses, including data modeling, ETL, and analytics frameworks. - Strong background in backend data methodologies, including data governance, security, and database management systems (DBMS). - Experience with enterprise-level IT projects and systems development, including 1S or similar ERP implementations. - Demonstrated success in leading teams, driving innovation, and collaborating with senior leadership. Skills & Competencies: - Expertise in data warehousing technologies (e.g., Snowflake, Redshift, or SQL Server) and analytics platforms (e.g., Power BI, Tableau). - Strong experience in backend development methodologies, data frameworks, and cloud-based solutions (e.g., AWS, Azure). - Proficiency in data modeling, ETL processes, and data pipeline automation. - Deep understanding of database management systems (DBMS), data governance, and data security best practices. - Excellent problem-solving and analytical skills, with the ability to design and implement data solutions that drive business value. - Exceptional leadership and communication skills, with a demonstrated ability to work effectively with cross-functional teams and executive stakeholders. Preferred Skills - Experience with cloud-based data platforms such as AWS or Azure for data warehousing and analytics. - Knowledge of data governance frameworks, data compliance regulations (e.g., GDPR), and data lifecycle management. - Familiarity with ERP systems, particularly in-house development or upgrades like the 1S project.Похожие вакансии
Team Lead Data Analytics/Product Analytics в продукт Ценообразование (Перекресток)
Договорная
Москва
X5 Tech