As the Head of Data, you will spearhead our data strategy and AI initiatives, ensuring alignment with business objectives.
You will own the data platform, lead AI R&D, and act as a strategic partner to cross-functional teams, transforming data into actionable insights.
This role demands a blend of technical expertise, leadership, and stakeholder management to foster a data-centric culture across global operations.
We look forward to having you join our dynamic team.
What you need to do:
Data Strategy & Governance
● Develop and execute a data strategy aligned with business goals.
● Implement robust data governance frameworks, ensuring compliance and quality.
● Establish policies for data management, security, and privacy.
Data Platform Ownership
● Oversee the data warehouse, big data platforms (e.g., Hadoop, Looker, Clickhouse) , and ETL processes.
● Ensure scalability, reliability, and efficiency of data infrastructure.
● Partner with engineering to build pipelines for prompt engineering, vector databases, and real-time inference.
AI R&D Leadership
● Drive AI/ML innovation in lending, risk management, and operational automation.
● Identify use cases, prototype solutions, and deploy models into production.
● Evaluate, fine-tune, and deploy Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.
● Integrate generative AI into data products, analytics workflows, and customer-facing tools.
● Stay current with advancements in foundation models, open-source ecosystems, and AI infrastructure.
● Ensure ethical use, interpretability, and monitoring of the performance of published models.
Stakeholder Partnership
● Act as a Data Business Partner for Product, Sales, Finance, and Operations.
● Translate business needs into technical requirements, architecture design, and project roadmaps.
● Manage stakeholder expectations and deliver data solutions on time.
Team Leadership & Agile Execution
● Lead data engineers, scientists, and analysts, fostering a culture of innovation.
● Implement agile methodologies to prioritize tasks and accelerate delivery.
● Coordinate with teams for development, testing, and maintenance.
Global Expansion Support
● Design data architectures that support multi-regional scalability.
● Address regulatory and cultural challenges in new markets.
● Degree in Data Science, Computer Science, or related field.
● 12+ years in data management, with 5+ years in leadership roles at internet/lending/fintech companies.
● Expertise in data architecture, big data technologies, AI/ML frameworks and cloud platforms.
● Certified Scrum Master or proven experience in agile environments.
● Strong analytical thinking, problem-solving, and stakeholder management.