Head- Business Intelligence & AI

JobItUs; Vadodara; On-site; INR 300,000 - 600,000; Full time

Job summary

JobItUs is seeking a senior Analytics & AI leader to define and drive the enterprise data strategy in Vadodara. You will shape the analytics roadmap, oversee a centralized data lake, and ensure cross-functional alignment with business goals.

This role requires guiding the Analytics and AI team and delivering KPI-driven insights to executive leadership. The ideal candidate has extensive experience in data architecture, predictive analytics, and modern data warehousing, with a proven record of

Qualifications

• Must have strong background in analytics leadership and data architecture.
• Experience aligning BI initiatives with digital transformation priorities.
• Proficient in SQL, Python/R, and cloud platforms (AWS/GCP/Azure).
• Hands-on with data warehousing and end-to-end data pipelines.

Responsibilities

• Define and drive enterprise BI and analytics strategy.
• Formulate AI and analytics roadmap aligned with goals.
• Oversee centralized data lake design, security, and accessibility.
• Identify cross-functional use cases for AI, BI, and pricing/operational improvements.
• Apply AI for predictive maintenance and process optimization.
• Engage stakeholders and translate questions into insights and dashboards.
• Lead Analytics and AI team and foster data-driven culture.
• Deliver KPIs, scorecards, and predictive models for strategic decisions.

Skills

Data strategy

AI roadmap

Data lake design

Cross-functional analytics

Predictive analytics

Stakeholder engagement

Leadership & mentoring

Decision support & dashboards

Education

Bachelor/Master in CS/Data Science/Stats

PhD is a plus

Tools

Snowflake

BigQuery

Redshift

Airflow

DBT

Power BI/Tableau

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).