Director of Data Analytics, Science & AI Enablement

As the Director of Data Analytics, Science & AI Enablement at Chargebee, your role will be crucial in leading the development and growth of a data function that drives enterprise-wide AI initiatives. You will play a key part in designing, building, and managing a team responsible for data analytics, data science, data governance, and structured data enablement to support advanced AI/ML use cases. **Roles and Responsibilities:** - **Data Analytics, Science and AI Enablement Leadership** - Lead the development and deployment of machine learning, generative AI, recommendation systems, and predictive models to enhance product intelligence and automation. - Scale AI capabilities across the platform, including personalization, NLP, anomaly detection, and customer segmentation. - Ensure that models are interpretable, ethical, and in alignment with business and customer trust standards. - **Business Analytics & Insights** - Drive insights into user behavior, product performance, churn prediction, and lifecycle value utilizing customer and usage data. - Develop dashboards, KPIs, and self-service analytics tools for marketing, product, sales, and support teams. - Own the customer analytics roadmap to enhance onboarding, conversion, retention, and upsell opportunities. - **Team Building & Cross-Functional Leadership** - Establish and lead a high-performance team of data scientists, AI/ML engineers, analysts, and data product managers. - Collaborate with various departments to align data strategy with business objectives and legal requirements. - Communicate findings to senior leadership and influence roadmap decisions through data-backed recommendations. - **Data Infrastructure & Governance** - Work with Data Engineering to ensure scalable data architecture and high-quality data pipelines. - Oversee data quality, governance, and compliance across all analytical and operational systems. - Implement scalable data architecture and governance frameworks, ensuring compliance with data privacy regulations. - **Team Leadership & Vision** - Build and lead a high-performing global team of data analysts, data scientists, and data engineers. - Define and execute a comprehensive data and AI enablement roadmap aligned with company goals. - **Data & AI Strategy Enablement** - Drive data availability, quality, and governance across the organization to support AI and advanced analytics initiatives. - Partner with engineering, product, and business stakeholders to identify opportunities for AI/ML solutions. - **Analytics & Business Intelligence** - Lead the development of dashboards, metrics, and decision-support tools. - Foster a culture of data literacy and insight-driven decision-making throughout the organization. - Provide executive-level insights through advanced data analysis and reporting. **Required Qualifications:** - Bachelor's or Master's degree in Computer Science, Statistics, Data Science, Engineering, or related discipline. - Experience in a SaaS or tech environment with subscription-based metrics. - 10+ years of experience in data analytics, data science, or related fields, with 3-5 years in a leadership role. - Strong knowledge of AI/ML concepts, data platforms, and BI tools. - Deep understanding of data governance, data quality, and metadata management. - Demonstrated ability to lead change in a global, fast-paced environment. - Excellent communication and stakeholder management skills. - Knowledge of SaaS metrics, PLG, and usage-based pricing strategies. - Experience with product instrumentation and event tracking platforms. - Experience scaling data teams in a high-growth or startup environment.,