Head of Analytics

As the Head of Data & Analytics, you will play a crucial role in shaping the data strategy and infrastructure to drive business growth and optimize decision-making processes. Here is a breakdown of your key responsibilities: - Data Strategy Development: Develop and implement a comprehensive data strategy aligned with the company's business objectives, covering data governance, architecture, analytics, and infrastructure. - Data Governance and Compliance: Establish robust policies for data governance to ensure data integrity, security, and compliance with regulatory requirements. Monitor adherence to data standards and best practices. - Data Analytics and Insights: Lead the development of advanced analytics capabilities to derive actionable insights from various data sources. Drive the adoption of predictive analytics, machine learning, and AI techniques for optimized decision-making processes. - Data Infrastructure and Technology: Oversee the selection, implementation, and management of data management platforms, warehouses, and technologies for data processing, storage, and analysis needs. Stay updated on emerging technologies to drive innovation. - Cross-functional Collaboration: Collaborate with key stakeholders from various departments to understand business requirements and prioritize data initiatives. Foster a data-driven culture and promote data literacy across the organization. - Talent Development: Build and lead a high-performing data team. Provide mentorship, training, and development opportunities to foster continuous learning and innovation. - Performance Measurement: Define KPIs and metrics to assess data initiatives' effectiveness. Develop reports and dashboards to communicate insights to senior leadership and stakeholders. Qualifications and Experience: - Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred. - 15 years of business experience, ideally in information or IT management, recently at the executive level. - Excellent communication skills with the ability to influence and collaborate effectively across all organizational levels. - Strong business acumen and the ability to translate complex data insights into actionable recommendations for executive decision-making. - Proven track record of leadership in implementing data strategies and driving business outcomes. - Deep understanding of data management principles, including governance, quality, metadata, and security. - Strong understanding of data modeling, schema design, and database architecture principles. - Experience with technologies like PowerBI, data warehousing, or cloud-based data solutions. - Demonstrated influencing and emotional intelligence skills to gain support and drive organizational change. (Note: Additional details about the company were not provided in the job description.) As the Head of Data & Analytics, you will play a crucial role in shaping the data strategy and infrastructure to drive business growth and optimize decision-making processes. Here is a breakdown of your key responsibilities: - Data Strategy Development: Develop and implement a comprehensive data strategy aligned with the company's business objectives, covering data governance, architecture, analytics, and infrastructure. - Data Governance and Compliance: Establish robust policies for data governance to ensure data integrity, security, and compliance with regulatory requirements. Monitor adherence to data standards and best practices. - Data Analytics and Insights: Lead the development of advanced analytics capabilities to derive actionable insights from various data sources. Drive the adoption of predictive analytics, machine learning, and AI techniques for optimized decision-making processes. - Data Infrastructure and Technology: Oversee the selection, implementation, and management of data management platforms, warehouses, and technologies for data processing, storage, and analysis needs. Stay updated on emerging technologies to drive innovation. - Cross-functional Collaboration: Collaborate with key stakeholders from various departments to understand business requirements and prioritize data initiatives. Foster a data-driven culture and promote data literacy across the organization. - Talent Development: Build and lead a high-performing data team. Provide mentorship, training, and development opportunities to foster continuous learning and innovation. - Performance Measurement: Define KPIs and metrics to assess data initiatives' effectiveness. Develop reports and dashboards to communicate insights to senior leadership and stakeholders. Qualifications and Experience: - Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred. - 15 years of business experience, ideally in information or IT management, recently at the executive level. - Excellent communication skills with the abil