Group Director, Data and Analytics – ()

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Job Detail

  • Job ID 1005553
  • Career Level Officer
  • Experience 8 Years +
  • Industry Management
  • Qualifications Degree Bachelor

Job Description

Job Responsibilities

  • Develop and execute a comprehensive data strategy aligned with the Equity Group’s business objectives.
  • Oversee data management, warehousing, integration, and migration; business intelligence; analytics; quality and delivery across advisory and technical projects.
  • Designing and maintaining a robust data infrastructure to enable building data products as well as company-wide analytics and reporting.
  • Leveraging advanced analytics tools to derive meaningful insights that drive strategic decision-making.
  • Collaborating with cross-functional teams to understand data needs and align product development, analytics, data science, and Machine Learning/Artificial Intelligence efforts with business goals.
  • Ensuring data privacy and compliance with relevant regulations.
  • Staying up to date with industry trends and emerging technologies, incorporating innovations into Equity Group’s data practices.
  • Develop Machine Learning and deep learning algorithms that help teams to improve their predictive capabilities significantly.
  • Develop data models and roadmaps that improve processes and add strategic value to the business.
  •  Champion a data-driven culture by fostering collaboration between data teams and business units.
  • Lead the recruitment, development, and management of a talented data team (data analysts, data scientists, data engineers).
  • Partner with key stakeholders across the organization to identify business needs and translate them into actionable insights.
  • Develop and implement data governance policies and procedures to ensure data accuracy, integrity, and security.
  • Build and maintain relationships with key vendors and partners in the data ecosystem.
  • Track and measure the success of data initiatives through key performance indicators (KPIs).
  • Communicate complex data concepts and findings to both technical and non-technical audiences.

Required skills

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