- Company Name
- Duel Tech
- Job Title
- Head of AI & Data
- Job Description
-
Job title: Head of AI & Data
Role Summary: Lead and scale a distributed data team to drive AI‑driven insights across product and operations. Own the data architecture, AI/ML pipelines, and governance frameworks, ensuring high‑quality, secure data that fuels growth and informs strategy.
Expectations:
- Deliver a scalable, modern data platform that supports internal teams and customer‑facing products.
- Embed AI capabilities into the product to create differentiated, predictive experiences for brand advocates.
- Maintain rigorous compliance and security standards while enabling rapid experimentation.
- Grow and mentor a high‑performing team of engineers, scientists, and analysts.
Key Responsibilities:
- Design and evolve end‑to‑end data architecture (Snowflake, AWS, Kafka/RedPanda, streaming pipelines).
- Build and deploy AI/ML models, including LLM fine‑tuning, RAG/GraphRAG, model distillation, and agentic workflows.
- Define and maintain data models, metrics, and governance policies (RBAC, RLS, ISO27001/42001 compliance).
- Collaborate with Product, Engineering, Marketing, and Leadership to translate business goals into data products.
- Lead technical hiring, coaching, and skill development for a team of 6+ data professionals.
- Ensure reliability, scalability, and speed of data pipelines to accelerate insight generation.
Required Skills:
- Proven architecture design and implementation in cloud‑native environments (Snowflake, Redshift, BigQuery, etc.).
- Expertise in building real‑time streaming pipelines (Kafka, RedPanda, Kinesis).
- Strong background in AI/ML engineering: classical models, LLM fine‑tuning, PEFT/LoRA, RAG, and agentic systems.
- Experience with data governance, security (RBAC, RLS), and compliance (ISO27001, GDPR).
- Leadership skills with ability to drive cross‑functional collaboration and evolve team capabilities.
- Excellent communication for translating complex technical concepts to non‑technical stakeholders.
Required Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
- Certifications in cloud platforms (AWS, GCP, Azure) and data warehousing (Snowflake, Redshift) preferred.
- Certifications in machine‑learning or AI frameworks (TensorFlow, PyTorch, LangChain) a plus.