Head of Data Analytics

at  ProSource Partners

The Role

• Lead and oversee the Data Analytics initiatives within the organization. • Manage the Data Management and Data Products portfolio. • Develop and implement data analytics strategies in alignment with business objectives. • Provide technical expertise and architectural guidance for data analytics projects. • Manage and mentor a team of data analysts, data scientists, and specialists. • Collaborate with cross-functional teams to identify opportunities for leveraging data and AI to drive business growth and innovation. • Cultivate a data-driven culture within the organization and promote best practices for data governance and data management. • Build and maintain relationships with internal stakeholders and external partners to ensure the successful execution of data analytics projects. • Negotiate contracts and manage vendor relationships for data analytics tools and services. • Prepare and deliver regular reports and presentations on the progress and impact of data analytics initiatives to C-level management. • Stay current with emerging trends and technologies in data analytics, AI and cloud computing. • Lead budgeting and cost optimization efforts for data analytics projects. • Understanding potential impact of competing technologies, assessing their strategic significance, defining their strategic role and scope, roadmap, relationship to existing standards, and periodically reviewing those standards. • Provide expert consultancy and coaching on architectural patterns and solution designs to project teams.

Requirements

• Bachelor’s or Master’s degree in computer science, data science, or a related field. • 12+ Years’ experience in handling Enterprise Data • Proven experience in a leadership role within data analytics, preferably as a Senior Manager in Data Analytics or similar position. • Strong technical skills and architectural knowledge in data analytics, AI, and cloud technologies. • Demonstrated expertise in stakeholder management, negotiation, and vendor management. • Experience reporting directly to C-level management and presenting complex technical concepts in a clear and concise manner. • Familiarity with diversified data products, data lakes technologies. • Proficiency in budgeting, forecasting, and cost optimization techniques for data analytics projects. • Excellent communication skills and the ability to collaborate effectively with diverse teams. • Strong analytical and problem-solving abilities, with a results-oriented mindset. • Certifications in data analytics, AI, or cloud computing (e.g. TOGAF, CDMP, Cloud Certified Solutions Architect) are a plus.

About the company
Prosource Partners stands as a distinguished specialist Recruitment and Outsourcing firm, boasting over 45 years of global experience in recruitment and resource services. Our strategic presence is marked by offices in Dubai, London, and Dublin, allowing us to efficiently cater to the hiring needs across the EMEA and Asia-Pacific regions. At the core of our operations is a dynamic team of recruitment professionals, each bringing expertise to support diverse industries. We house specialized recruitment teams focused on Information Technology & Cyber Security, Renewable Energy & Engineering, and Finance & Banking

• Lead and oversee the Data Analytics initiatives within the organization. • Manage the Data Management and Data Products portfolio. • Develop and implement data analytics strategies in alignment with business objectives. • Provide technical expertise and architectural guidance for data analytics projects. • Manage and mentor a team of data analysts, data scientists, and specialists. • Collaborate with cross-functional teams to identify opportunities for leveraging data and AI to drive business growth and innovation. • Cultivate a data-driven culture within the organization and promote best practices for data governance and data management. • Build and maintain relationships with internal stakeholders and external partners to ensure the successful execution of data analytics projects. • Negotiate contracts and manage vendor relationships for data analytics tools and services. • Prepare and deliver regular reports and presentations on the progress and impact of data analytics initiatives to C-level management. • Stay current with emerging trends and technologies in data analytics, AI and cloud computing. • Lead budgeting and cost optimization efforts for data analytics projects. • Understanding potential impact of competing technologies, assessing their strategic significance, defining their strategic role and scope, roadmap, relationship to existing standards, and periodically reviewing those standards. • Provide expert consultancy and coaching on architectural patterns and solution designs to project teams