
Head of Business
2 weeks ago
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
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