Onsite Head- Business Intelligence & AI role based out in Vadodara

Job Description:

Key Responsibilities:

• Data Strategy Leadership - Define and drive the enterprise-wide business intelligence and analytics strategy, Align BI initiatives with overall business goals and digital transformation priorities
• Formulate a comprehensive AI and analytics roadmap aligned with the organizations 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.
• Data-Driven Decision Support - Deliver KPIs, scorecards, and predictive models to enable strategic decision-making, Promote advanced analytics, AI/ML initiatives, and scenario planning

Qualification:

• Bachelors or masters in computer science, Data Science, Statistics, or related field. PhD is a plus.
• 10+ years of experience in analytics, data architecture, or related roles.
• Strong knowledge of data modelling techniques
• Understanding of Data Science (SQL, Python, R, and at least one cloud platform.
• Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT)

Technical Competencies/Skills:

• Analytics tools (Data Lake, Tableau), and integration with other systems
• Proven track record of implementing enterprise analytics solutions and predictive modeling at scale.
• Strong hands-on experience with tools like Power BI, Tableau, Python/R, SQL, and cloud platforms (AWS/GCP/Azure) or any other relevant cloud platform.
• Experience setting up and managing data lakes and developing end-to-end data pipelines.
• Sound understanding of AI/ML techniques, LLMs, GenAI tools, and emerging technologies in data science.
• Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT).