
Data Team Manager
1 week ago
Job Title: Data Team Manager
Department: Data & Analytics / Technology
About the Role
We are seeking an experienced and strategic Data Team Manager to lead our data team
and oversee the design, development, and maintenance of data-driven solutions. The role
will be responsible for ensuring data accuracy, integrity, and availability while driving
analytics initiatives that support business growth and decision-making.
Key Responsibilities
• Lead, mentor, and manage a team of data analysts, data engineers, and scientists.
• Oversee the development and maintenance of data pipelines, databases, and
reporting systems.
• Collaborate with business leaders to understand data needs and translate them
into actionable insights.
• Ensure data governance, security, and compliance with company policies and
regulatory requirements.
• Define and implement best practices for data management, analytics, and
reporting.
• Drive the adoption of data visualization tools and self-service analytics.
• Monitor performance of data systems and recommend improvements.
• Stay updated with emerging trends and technologies in data management and
analytics.
• Foster a culture of continuous improvement and data-driven decision-making
across the organization.
Qualifications
• Bachelor's degree in Computer Science, Data Science, Statistics, or related field
(Master's preferred).
• Proven experience as a Data Team Manager, Data Lead, or Senior Data Specialist.
• Strong knowledge of data management, ETL processes, and data warehousing.
• Hands-on experience with SQL, Python, R, or other relevant languages.
• Proficiency with data visualization and BI tools (e.g., Tableau, Power BI, Looker).
• Familiarity with cloud data platforms (AWS, Azure, GCP, Snowflake, BigQuery).
• Strong leadership, communication, and project management skills.
• Ability to balance strategic planning with hands-on execution.
Preferred Skills (Nice to Have)
• Experience leading cross-functional data projects in an Agile environment.
• Knowledge of machine learning and advanced analytics.
• Familiarity with data privacy regulations (GDPR, CCPA).
• Experience in specific industry, e.g., fintech, e-commerce, healthcare is a plus.
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