As the Vice President Data, you will play a crucial role in the executive team by shaping the organization's data strategy, driving actionable insights, and fostering a culture of data-driven decision-making. Your responsibilities will include:
• Strategic Leadership: Defining and executing the enterprise-wide data analytics strategy aligned with business goals and innovation priorities. - Team Development: Building, mentoring, and leading a high-performance analytics team comprising data scientists, analysts, and BI developers. - Data-Driven Transformation: Driving the organization's transition to a data-first culture by integrating analytics into key decision-making processes. • Stakeholder Engagement: Collaborating closely with senior leaders, product owners, and operations teams to identify analytical needs and deliver high-impact solutions. • Advanced Analytics and Innovation: Overseeing the design and deployment of machine learning models, predictive analytics, and data visualization frameworks to generate business insights. • Governance and Data Quality: Partnering with Data Engineering and IT to ensure the availability, accuracy, and integrity of enterprise data assets. • Analytics Enablement: Championing self-service analytics and democratization of data through tools, training, and platforms. • Industry Intelligence: Staying updated on emerging trends, technologies, and best practices in data science, artificial intelligence, and data governance. As the ideal candidate for this role, you should possess:
• A Bachelor's or Master's degree in data science, Computer Science, Statistics, Business Analytics, or a related field.• Minimum 15-20 years of experience in data analytics or data science, with at least 5 years in a senior leadership role driving enterprise-level analytics initiatives.• Strong technical proficiency in SQL, Python, and familiarity with big data platforms.• Expertise in machine learning, AI, statistical modeling, and predictive analytics.• Proven success in leading cross-functional teams, managing complex projects, and influencing C-suite executives.• Excellent communication and storytelling skills to translate complex data insights into clear business value.• Experience with modern BI tools such as Tableau, Power BI, Looker, or similar platforms.Soft Skills desired for this role: - Commitment to learn and deliver.
• Good communication skills (Written and Oral).
• Willingness to learn, train, and mentor subordinates.
• English Language proficiency is required for effective professional communication.
• Strong problem-solving skills and a creative mindset to bring fresh ideas to the table.
• Demonstrates confidence and self-assurance in skills and expertise, contributing to team success in a positive and assured manner.
• Accountability and responsibility for deliverables and outcomes.
• Ownership of tasks, meeting deadlines, and ensuring high-quality results.
• Strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions.
• Continuously exploring emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge. As the Vice President Data, you will play a crucial role in the executive team by shaping the organization's data strategy, driving actionable insights, and fostering a culture of data-driven decision-making. Your responsibilities will include:
• Strategic Leadership: Defining and executing the enterprise-wide data analytics strategy aligned with business goals and innovation priorities. • Team Development: Building, mentoring, and leading a high-performance analytics team comprising data scientists, analysts, and BI developers. • Data-Driven Transformation: Driving the organization's transition to a data-first culture by integrating analytics into key decision-making processes. • Stakeholder Engagement: Collaborating closely with senior leaders, product owners, and operations teams to identify analytical needs and deliver high-impact solutions. • Advanced Analytics and Innovation: Overseeing the design and deployment of machine learning models, predictive analytics, and data visualization frameworks to generate business insights. • Governance and Data Quality: Partnering with Data Engineering and IT to ensure the availability, accuracy, and integrity of enterprise data assets. • Analytics Enablement: Championing self-service analytics and democratization of data through tools, training, and platforms. • Industry Intelligence: Staying updated on emerging trends, technologies, and best practices in data science, artificial intelligence, and data governance.As the ideal candidate for this role, you should possess:
• A Bachelor's or Master's degree in data science, Computer Science, Statistics, Business Analytics, or a related fi