Who should be nominated?
Examples of eligible titles for the Data Leadership Awards include, but are not limited to:
- Chief Data Officer (CDO)
- Chief Information Officer (CIO)
- Chief Technology Officer (CTO)
- Chief Digital Officer
- VP/Director of Data & Analytics
- VP/Director of IT
- VP/Director of Digital Transformation
- VP/Director of Insights
- Heads of Data Science, AI, and Business Intelligence (BI)
- Heads of Digital Transformation, E-commerce, and Strategy
Examples of the ways leaders can drive impact include:
Innovation in Data Strategy
Innovation in Data Strategy
Leaders who have developed and implemented innovative data strategies that align with the organization's goals and lead to measurable business outcomes.
CRITERIA: Creativity in problem-solving, originality in applying data analytics, and pioneering use of AI or emerging technologies.
Data-Driven Business Transformation
Data-Driven Business Transformation
Leaders who have used data to drive significant business transformation, such as digital transformation initiatives, operational efficiencies, or customer experience enhancements.
CRITERIA: The scale of transformation, ROI, and long-term business impact.
Impact on Revenue and Growth
Impact on Revenue and Growth
Leaders whose data initiatives have directly contributed to revenue growth, cost savings, or market expansion.
CRITERIA: Quantifiable financial results, new revenue streams, or market leadership achieved through data.
Leadership in Data Governance and Ethics
Leadership in Data Governance and Ethics
Leaders who have set high standards for data governance, ensuring compliance, data privacy, and ethical data use.
CRITERIA: Governance framework strength, regulatory adherence, and transparency in data practices.
Cross-Functional Collaboration
Cross-Functional Collaboration
Leaders who successfully foster collaboration between IT, data teams, and business units to break down silos and integrate data across the organization.
CRITERIA: Successful cross-team initiatives, improved data access and usability, and fostering a data-driven culture.
Customer-Centric Data Initiatives
Customer-Centric Data Initiatives
Leaders who have used data to improve customer insights, personalization, or overall customer experience.
CRITERIA: Improvements in customer satisfaction, retention, and engagement through data-driven approaches.
Sustainability and Social Responsibility
Sustainability and Social Responsibility
Leaders who use data to drive sustainability efforts, reduce carbon footprints, or support social responsibility initiatives.
CRITERIA: Sustainability impact, alignment with corporate social responsibility (CSR) goals, and measurable environmental benefits.
Data Democratization and Culture Building
Data Democratization and Culture Building
Leaders who make data accessible across the organization, enabling non-technical teams to leverage data for decision-making.
CRITERIA: Success in implementing self-service analytics platforms, improvements in data literacy, empowerment of non-technical teams, change management success.
Excellence in Data Infrastructure and Integration
Excellence in Data Infrastructure and Integration
Leaders who have built or significantly enhanced data infrastructure to support advanced analytics, scalability, and operational efficiency.
CRITERIA: Infrastructure improvements, enhanced data storage, processing capabilities, and overall system reliability and performance.
Data-Driven Innovation in Products or Services
Data-Driven Innovation in Products or Services
Leaders who have used data to innovate or enhance products or services, driving competitive advantage or market disruption.
CRITERIA: Success in launching data-powered products, the novelty of innovation, and measurable market impact.
Pioneering in Data Privacy, Security, and Risk Management
Pioneering in Data Privacy, Security, and Risk Management
Leaders who have pioneered advancements in data privacy, ensuring that their organization’s data practices are compliant, secure, and resilient.
CRITERIA: Privacy framework development, compliance with regulations (e.g., GDPR, CCPA), security enhancements that protect sensitive data, and reduction in risk exposure.
Leadership in Data Collaboration with Partners
Leadership in Data Collaboration with Partners
Leaders who have successfully driven data collaboration with external partners (e.g., suppliers, customers, or other businesses) to create joint value.
CRITERIA: Success in building data-sharing partnerships, mutual benefits derived from collaboration, and transparency in data usage.
Sustained Excellence in Data Leadership
Sustained Excellence in Data Leadership
Individuals or teams who have consistently delivered exceptional data-driven results over several years, demonstrating sustained excellence in leadership and impact.
CRITERIA: Long-term success, the scope of influence, and continuous innovation in data-driven initiatives.
Nominees will be judged by a board of retail and consumer goods executives.