Head of Data at Konga Online Shopping Limited

Confidential

Lagos, Nigeria CDI

Publiée il y a 1 mois · Expire dans 3 semaines

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Description du poste

## Title: Head of Data

Position Overview

This position offers a great opportunity for career growth. The Head of Data will be responsible for defining and executing the organization's data strategy, ensuring data is effectively collected, governed, analyzed, and leveraged to drive business growth and innovation. This role requires a highly experienced leader who can build and scale a world-class data organization, driving data maturity across the company and ensuring alignment with business goals.

The successful candidate will lead data governance, data engineering, analytics, business intelligence, and advanced data science initiatives while ensuring compliance with regulatory and security standards. They will act as a strategic partner to executives and a visionary leader for data-driven culture across the organization.

Data Strategy & Leadership

  • Develop and execute a comprehensive data strategy, aligned with the company's overall vision and objectives
  • Define a data maturity roadmap, driving adoption of data-driven decision-making across all departments
  • Own and articulate the data vision, ensuring the organization leverages data as a strategic asset
  • Serve as a key member of the senior leadership team, contributing to company-wide strategy and innovation

Data Management & Governance

  • Establish and enforce data governance policies covering data ownership, stewardship, and accountability
  • Drive the implementation of data quality frameworks, ensuring accuracy, consistency, and reliability
  • Ensure compliance with data privacy, security, and regulatory standards (including NDPR, CCPA, and HIPAA)
  • Oversee metadata management, master data management, and data lineage tracking

Data Engineering & Architecture

  • Lead the design and implementation of scalable data infrastructure, pipelines, and cloud-based platforms
  • Partner with Technology and Engineering teams to ensure robust data architecture that supports advanced analytics and AI initiatives
  • Ensure integration of data systems across the organization

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