Vice President

About The Job

• Strategic Leadership: Define and execute the enterprise-wide data analytics strategy aligned with business goals and innovation priorities.
• Team Development: Build, mentor, and lead a high-performance analytics team including data scientists, analysts, and BI developers.
• Data-Driven Transformation: Drive the organization's transition to a data-first culture by embedding analytics into key decision-making processes.
• Stakeholder Engagement: Collaborate closely with senior leaders, product owners, and operations teams to identify analytical needs and deliver high-impact solutions.
• Advanced Analytics and Innovation: Oversee the design and deployment of machine learning models, predictive analytics, and data visualization frameworks that generate business insights.
• Governance and Data Quality: Partner with Data Engineering and IT to ensure the availability, accuracy, and integrity of enterprise data assets.
• Analytics Enablement: Champion self-service analytics and democratization of data through tools, training, and platforms.
• Industry Intelligence: Stay on the forefront of emerging trends, technologies, and best practices in data science, artificial intelligence, and data governance.
  

• 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 with the ability to translate complex data insights into clear business value.
• Experience with modern BI tools such as Tableau, Power BI, Looker, or similar platforms.
  

• Commitment to learn and deliver.
• Good communication skills (Written and Oral).
• Willingness to learn, train, and mentor subordinates.
• English Language proficiency is required to effectively communicate in a professional environment.
• Strong problem-solving skills and a creative mindset bring fresh ideas to the table.
• Should demonstrate confidence and self-assurance in their skills and expertise, enabling them to contribute to team success and engage with colleagues and clients in a positive, assured manner.
• Should be accountable and responsible for deliverables and outcomes.
• Should demonstrate ownership of tasks, meet deadlines, and ensure high-quality results.
• Demonstrates strong collaboration skills by working effectively with cross-functional teams, sharing insights, and contributing to shared goals and solutions.
• Continuously explore emerging trends, technologies, and industry best practices to drive innovation and maintain a competitive edge.