EXPERIENCE

• Proven experience (X+ years) in a managerial role, with a track record of successfully leading teams in data analytics and related fields.

• Strong understanding of data analytics, business intelligence, data governance, and data engineering concepts.

• Excellent communication and interpersonal skills to collaborate effectively with diverse stakeholders.

• Proficiency in relevant software tools and technologies commonly used in data analytics and management.

• Strategic thinking and the ability to align data analytics initiatives with the organization's goals.

This Section Head role is pivotal in driving data-driven decision-making across the organization and ensuring the successful execution of digital initiatives.

EDUCATION

• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Business Administration) is required; a Master's degree is a plus.

OTHER REQUIREMENTS

As a Section Head within the Digital Department, you will play a crucial role in leading and managing the Data Analytics Section. This dynamic and diverse team covers a broad range of functions critical to our organization's data-driven decision-making, including Business Intelligence, Data Science, Data Engineering, Data Platform Engineering, and Data Governance. Your primary responsibility will be to ensure that the Data Analytics Section operates efficiently, meets its objectives, and contributes significantly to the overall success of our digital initiatives.

ROLE & RESPONSIBILITY

• Team Leadership: Lead and mentor a multidisciplinary team covering Business Intelligence, Data Science, Data Engineering, Data Platform Engineering, and Data Governance.

• Strategic Planning: Develop and execute the section's strategic plan aligned with organizational digital goals.

• Project Management: Oversee project execution, ensuring timeliness and efficient resource allocation.

• Data Analytics and Insights: Drive data-driven decision-making through advanced analytics and effective communication of insights.

• Data Governance and Compliance: Establish and maintain data governance practices, ensuring quality and compliance.

• Data Infrastructure and Technology: Collaborate on data infrastructure and stay updated on technology trends.

• Budget Management: Manage section budget and expenditures.

• Stakeholder Engagement: Build strong relationships with internal stakeholders to align analytics efforts with business objectives.

• Performance Metrics and Reporting: Monitor KPIs and report on section accomplishments and plans.