Position Overview:
As the Head of Data, you will lead our global data organization (US), overseeing data engineering, analytics, and AI/ML initiatives to drive business growth and user engagement. You will be responsible for managing a large, distributed data team and optimizing our complex data ecosystem, which spans multiple storage systems and real-time analytics pipelines. Your leadership will ensure that data is a strategic asset, fueling innovation and personalization in our English learning platform.
Key Responsibilities:
Data Strategy & Leadership: Define and execute a comprehensive data strategy aligned with business objectives.
Team Management: Lead, mentor, and scale a high-performing team of data engineers, analysts, and data scientists across multiple locations.
Data Infrastructure & Architecture: Oversee the development of a robust, scalable, and secure data infrastructure across cloud and on-premise environments.
Cross-functional Collaboration: Work closely with Product, Engineering, Marketing, and AI/ML teams to unlock data-driven decision-making.
Data Governance & Compliance: Establish strong governance, security, and compliance frameworks to ensure data integrity and privacy (e.g., GDPR, CCPA).
Machine Learning & AI: Drive innovation in AI-driven language learning by leveraging cutting-edge ML techniques and personalized learning algorithms.
Real-time & Big Data Processing: Optimize real-time analytics pipelines and distributed data systems to support personalized learning experiences at scale.
Experimentation & Insights: Champion data-driven experimentation (A/B testing, causal inference) to optimize learning outcomes and user engagement.
Qualifications:
- 10+ years of experience in data leadership roles, managing large, distributed data teams.
- 5+ years of experience in EdTech and mobile apps is preferred. Expertise in technologies such as Snowflake, Airflow, RDS.
- Strong understanding of cloud platforms (AWS, GCP, Azure) and data infrastructure best practices.
- Hands-on experience with machine learning, AI-driven recommendation systems, and experimentation platforms.
- Proficiency in SQL, Python, and data engineering best practices.
- Experience building scalable data platforms in a fast-growing tech or edtech environment.
- Strong leadership, communication, and stakeholder management skills.
- Why Join Us?
- Work on a product that impacts millions of learners worldwide.
- Lead a top-tier data team in a company that values data-driven decision-making.
- Drive innovation at the intersection of AI, education, and user engagement.
- Willingness to relocate to Nilgiris.
