Head of Business & Analytics Intelligence

Position Overview:

We are seeking a seasoned professional to lead our enterprise-wide Business Intelligence (BI) and Artificial Intelligence (AI) strategy. This role demands a visionary leader with deep technical expertise in data architecture, AI/ML, ETL, dashboarding, and emerging technologies like Generative AI and Agentic AI. The ideal candidate will drive innovation and data-driven decision-making across all business functions including R&D, production, supply chain, sales, marketing, finance, HR, and compliance.

Key Responsibilities:

• Strategic Leadership:

• Define and execute the BI and AI roadmap aligned with business goals and digital transformation.
• Lead the Analytics and AI team and foster a data-driven culture.

• Technical Execution:

• Design and maintain a centralized data lake ensuring scalability, security, and accessibility.
• Develop and manage interactive dashboards and predictive models for all functions.
• Spearhead AI and GenAI initiatives including LLM deployment and RAG models.

• Cross-Functional Enablement:

• Identify and implement AI use cases across departments (e.g., predictive maintenance, market demand forecasting).
• Collaborate with stakeholders to translate business needs into actionable insights.

• Governance & Quality:

• Ensure best practices in data governance, security, and quality management.

Required Qualifications:

• Bachelors or Masters in Computer Science, Data Science, Statistics, or related field (PhD is a plus).
• Minimum 10 years of experience in analytics, data architecture, or related roles.
• Strong knowledge of data modeling techniques and data science tools (SQL, Python, R).
• Experience with cloud platforms (AWS, GCP, Azure).

Technical Competencies:

• Hands-on experience with:
  
• Data lakes, ETL pipelines, and orchestration tools (Airflow, DBT)
• BI tools: Power BI, Tableau
• Data warehousing: Snowflake, BigQuery, Redshift
• AI/ML technologies including LLMs and GenAI tools

• Proven track record in:
  
• Implementing enterprise analytics solutions
• Predictive modeling at scale
• Integrating analytics with manufacturing processes

Behavioral Competencies:

• Strong leadership and team management skills
• Excellent communication and stakeholder engagement
• High initiative and problem-solving ability
• Ability to manage multiple priorities under pressure