Overview:
Director of Data and Analytics is a pivotal role within the organization, responsible for providing leadership and 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.
Responsibilities:
Leadership and Direction Provides leadership and direction through senior managers and heads of sub-teams that report into this role.
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.
Performance and Results Accountability 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 organizations success.
Strategic 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.
Planning, Staffing, and Budgeting Holds overall control of the planning, staffing, and budgeting processes for the team.
Develops and manages the teams budget, ensuring that resources are allocated effectively and within budgetary constraints.
Oversees the recruitment, training, and development of data team members to build a high-performing team.
Plans and prioritizes projects and initiatives to align with organizational goals and maximize the impact of the data team.
Stakeholder Management Engages with executive stakeholders as well as peers to ensure alignment and support for data initiatives.
Communicates data strategies, progress, and outcomes to executive leadership and other key stakeholders.
Builds and maintains strong relationships with internal and external partners to enhance the organizations data capabilities.
Represents the data team in cross-functional meetings and projects, advocating for data-driven decision-making.
Strategic Plan Development Works with other senior leaders to develop and implement strategic plans that support the organizations goals.
Ensures that data strategies are integrated into broader organizational strategies.
Develops long-term plans for the data team, aligning resources and efforts with future organizational needs and opportunities.
Conducts regular reviews of the strategic plan to ensure it remains relevant and effective in a changing environment.
Operational Decision-Making Makes final decisions on operational matters within the team.
Ensures that operational processes and procedures are efficient and effective.
Implements best practices for data management, analytics, and governance.
Ensures compliance with relevant regulations and standards in all data-related activities.
Qualifications: Bachelor's degree in Computer Science, Data Science, Information Systems, Business Administration, or a related field.
Advanced degree (Master's or Ph.D.) preferred.
Minimum of 10-15 years of experience in data management, analytics, or related fields.
At least 5 years of experience in a senior leadership role, managing large teams and complex projects.
Proven track record of developing and implementing successful data strategies in a large organization.
Extensive experience in customer service delivery and development.
Proven success working cross-functionally and contributing to global strategy.
Extensive experience in analyzing, interpreting, and presenting complex information, proposing solutions, and implementing plans.