What are the responsibilities and job description for the Head of Data Strategy position at Games Global Operations Limited?
Job Description:
The Director of Data and Analytics is a pivotal role within the organization, responsible for providing strategic direction to senior managers and heads of sub-teams. This role requires full accountability for the performance and results of multiple sub-teams or a large strategically important team.
The Director of Data and Analytics plays a key role in contributing to the overall strategy of the department, ensuring that planning, staffing, and budgeting are effectively managed. Key responsibilities include leading cross-functional teams, managing budgets, and developing strategic plans.
Key Responsibilities:
- Provides leadership and direction through senior managers and heads of sub-teams.
- Develops a clear vision for the data team, aligning it with the organization's overall mission and goals.
- Fosters a culture of collaboration, innovation, and excellence within the data team.
- Mentors and develops senior managers, ensuring they have the skills and support needed to lead their respective teams effectively.
Accountability and Performance:
- Holds full accountability for the performance and results of multiple sub-teams or a large strategically important team.
- Sets and monitors key performance indicators (KPIs) to assess the effectiveness and efficiency of the data team.
- Implements continuous improvement processes to enhance team performance and outcomes.
- Addresses performance issues promptly and effectively, ensuring that all team members contribute to the organization's success.
Data Strategy and Contribution:
- Contributes to the development and implementation of the overall strategy for the department.
- Identifies opportunities for leveraging data to drive business insights and innovation.
- Works closely with other senior leaders to ensure data strategies support and enhance broader organizational goals.
- Stays abreast of industry trends and best practices to keep the organization at the forefront of data management and analytics.
