Chief Data Solutions Officer

3 hours ago

Gandhinagar, Gujarat, India beBeeDataArchitect Full time ₹ 2,50,00,000 - ₹ 3,50,00,000
Lead Data Architect

The role of Lead Data Architect is pivotal in shaping our organization's data strategy, driving innovation in AI and ML, and building scalable data solutions that have a direct impact on the business.

Key Responsibilities:

  • Strategic Leadership: Define and champion the company's data science vision and strategy, aligning it with business objectives. Identify and prioritize high-impact data science projects.
  • Architecture Design: Design and architect scalable and robust data platforms and solutions to support advanced analytics and AI/ML initiatives. Evaluate and select appropriate technologies and tools.
  • Model Development & Innovation: Develop and implement advanced statistical and machine learning models to solve complex business problems. Drive innovation by exploring new algorithms and techniques.
  • Data Exploration & Analysis: Lead data exploration and analysis efforts, identifying key insights and trends that inform business decisions. Develop data visualizations and dashboards to communicate findings effectively.
  • Mentorship & Team Leadership: Mentor junior data scientists and engineers, fostering a culture of learning and growth. Provide technical leadership and direction on data science projects.
  • Cross-functional Collaboration: Collaborate closely with product managers, engineers, and business stakeholders to understand their needs and translate them into data-driven solutions. Communicate complex technical concepts to non-technical audiences.
  • Research & Development: Stay up-to-date with the latest advancements in data science, AI/ML, and related fields. Contribute to research and development efforts, exploring new methodologies and technologies.
  • Data Governance & Quality: Champion data governance and quality initiatives, ensuring data accuracy, consistency, and compliance. Develop and implement data quality checks and validation procedures.
  • Thought Leadership: Represent the organization at industry conferences, publish research papers, and contribute to the data science community.

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