Chief Data Strategist

2 weeks ago

Chennai, Tamil Nadu, India beBeeDataLeader Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Strategic Data Leader

The ideal candidate will combine deep technical expertise with visionary thinking and proven leadership capabilities to drive the organization's data strategy, delivering actionable insights, and fostering a culture of data-driven decision-making across all levels of the business.


Key Responsibilities:
  • Strategic Leadership: Develop and execute an 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.

Requirements:
  • Education & Experience: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
  • Experience: 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.
  • Technical Proficiency: Strong technical proficiency in SQL, Python, and familiarity with big data platforms.
  • Expertise: Expertise in machine learning, AI, statistical modeling, and predictive analytics.
  • Leadership Skills: Proven success in leading cross-functional teams, managing complex projects, and influencing C-suite executives.
  • Communication Skills: Excellent communication and storytelling skills with the ability to translate complex data insights into clear business value.
  • BI Tools: Experience with modern BI tools such as Tableau, Power BI, Looker, or similar platforms.

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