Role Purpose: As the Director of Data and Analytics, you will lead the Group’s data governance, engineering, analytics, and data science enablement function. You will execute a comprehensive data strategy, build, and lead a high-performance data team, design and maintain a robust data infrastructure. Your responsibilities will also include enabling advanced analytics for strategic decision-making and ensuring data privacy and compliance. You will be responsible for building a data stack and enable our teams to explore product and financial data for self-serve analytics purposes. It is the responsibility of the Director of Data and Analytics to build a focused data team covering data governance, data engineering data analytics, and data science (including the enablement of Machine Learning and Artificial Intelligence models), with effective cross-functional collaboration with the Business and Information Technology teams. Job Responsibilities • Develop and execute a comprehensive data strategy aligned with the Equity Group’s business objectives. • Oversee data management, warehousing, integration, and migration; business intelligence; analytics; quality and delivery across advisory and technical projects. • Designing and maintaining a robust data infrastructure to enable building data products as well as company-wide analytics and reporting. • Leveraging advanced analytics tools to derive meaningful insights that drive strategic decision-making. • Collaborating with cross-functional teams to understand data needs and align product development, analytics, data science, and Machine Learning/Artificial Intelligence efforts with business goals. • Ensuring data privacy and compliance with relevant regulations. • Staying up to date with industry trends and emerging technologies, incorporating innovations into Equity Group's data practices. • Develop Machine Learning and deep learning algorithms that help teams to improve their predictive capabilities significantly. • Develop data models and roadmaps that improve processes and add strategic value to the business. • Champion a data-driven culture by fostering collaboration between data teams and business units. • Lead the recruitment, development, and management of a talented data team (data analysts, data scientists, data engineers). • Partner with key stakeholders across the organization to identify business needs and translate them into actionable insights. • Develop and implement data governance policies and procedures to ensure data accuracy, integrity, and security. • Build and maintain relationships with key vendors and partners in the data ecosystem. • Track and measure the success of data initiatives through key performance indicators (KPIs). • Communicate complex data concepts and findings to both technical and non-technical audiences. Qualifications and Experience • Bachelors degree in computer science, Information Systems, Statistics, or a related field. • Masters degree in computer science, Finance & Banking MIS, or Information Management, operations management • Excellent knowledge of Information Science, Data, Data Systems and Processes. • Excellent Project Management, analytical, problem solving and reporting skills • A good knowledge of the information requirements and standard reporting within Financial Services industry • Minimum 12 years' work experience, with over 5 years working in a senior level Data Management role. • Vast experience in building and leading data science organization or practices as well as successful experience in advocating for data analytics value across a business and to diverse audiences. • Proven track record of leading and building high-performing data teams. • Strong understanding of data governance best practices and data security principles. • Experience in developing and implementing a data strategy. • Experience in working with a variety of data tools and technologies (e.g., data warehouses, data lakes, business intelligence tools). • A keen understanding of business needs and the ability to translate data insights into actionable strategies

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