Visionary Data Strategist

2 days ago

Vadodara, Gujarat, India beBeeDataStrategist Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title:

Senior Director Data Strategy and Innovation

About the Role:

We are seeking an experienced leader to spearhead our data strategy, design scalable data models, and drive analytical innovation across the organization. This position is responsible for developing a comprehensive data architecture that integrates business intelligence, AI, and analytics capabilities.

The ideal candidate will have a deep understanding of data science, AI, and business analytics, as well as technical expertise in data architecture and modeling, AI/ML, ETL, Dashboards, and Generative AI.

Key Responsibilities:
  • Data Strategy Leadership: Define and drive the enterprise-wide business intelligence and analytics strategy, aligning BI initiatives with overall business goals and digital transformation priorities.
  • Formulate a comprehensive AI and analytics roadmap aligned with the organization's goals, focusing on improving operational efficiency.
  • Oversee the design and maintenance of a centralized data lake to store diverse data, ensuring scalability, security, and accessibility for cross-functional BI and AI initiatives.
  • Identify cross-functional use cases, such as using AI to predict market demand, optimize pricing strategies, or enhance employee training programs.
  • Apply AI for predictive maintenance of equipment and process optimization while using BI to monitor production KPIs and identify bottlenecks through historical data analysis.
  • Stakeholder Engagement: Collaborate with executive leadership, functional heads, and IT to identify analytics needs, translate business questions into actionable insights, and dashboards.
  • Leadership: Lead the Analytics and AI team, provide strategic insights to the C-suite, and foster a data-driven culture.
  • Develop and maintain interactive dashboards for all functions, providing real-time insights to stakeholders.
  • Data-Driven Decision Support: Deliver KPIs, scorecards, and predictive models to enable strategic decision-making, promote advanced analytics, AI/ML initiatives, and scenario planning.
Ai & GenAi Enablement:

Spearhead AI and Generative AI initiatives, including hands-on leadership in deploying LLMs, implementing RAG (Retrieval-Augmented Generation) models, and identifying data science-driven opportunities across the organization.

Data Governance & Quality:

Ensure best practices in data governance, security, and quality management to uphold data integrity and compliance.

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