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Head of Data and AI at Indie Campers | LinkedIn. . Location: Lisbon. ABOUT US. . Indie Campers is the leading campervan provider, dedicated to making road trips accessible and unforgettable for everyone. Innovation, product-led growth, and an . unwavering commitment to our customers are at the heart of everything we do. With more than one million nights rented and travellers from 169 countries, we provide a single and . trustworthy digital experience for road trips across the United States, Europe, and Oceania - offering multiple camper-van configurations and even the chance to buy one of our . vehicles. . We’re scaling our technology organisation to build a modern, AI-ready data platform that powers real-time decisions, automation, and world-class customer experiences.. . THE ROLE. . As Indie Campers’ Head of Data & AI (reporting directly to the CTO), you will lead our Data Engineering & Platform, Data Science/ML, and Analytics functions. You’ll be a player-coach: a strong people manager of a small, high-leverage team and a hands-on technical lead who designs the architecture, sets standards, and ships. Your mandate: deliver a reliable, cost-efficient, privacy-by-design data platform; enable self-serve analytics; and infuse AI into core workflows (pricing, e-commerce, customer experience, operations).. . WHAT WILL YOU WORK ON?. . . Own the end-to-end platform (ingest → transform → serve): streaming + batch pipelines, orchestration, CI/CD, observability, cost controls.. . Define data contracts, schemas, and a semantic/metrics layer for consistent KPIs across the company.. . Standardise ELT with dbt; orchestrate with Airflow/Prefect; implement lake/warehouse patterns (e.g., S3/Parquet + Athena/BigQuery/Snowflake).. . Build MLOps foundations (feature store, model registry, online/offline evaluation, monitoring, safe rollout/rollback).. . Ship pragmatic ML/AI: demand forecasting, price optimisation, propensity scoring, LLM-powered classification/extraction/summarisation for CX & Operations.. . Partner with Engineering to productionise models (APIs, events) and measure business lift.. . Lead a small team of analytics engineers/analysts; deliver trusted  dashboards (Metabase/Superset/Looker) and experiments (A/B).. . Create templates and training for self-serve analysis; raise SQL and data literacy across the org.. . Own data governance, catalog, lineage, and GDPR/PII controls; drive DQ SLAs and incident playbooks.. . Partner with Corporate IT/CISO on access, encryption, retention, and vendor risk.. . Hire, coach, and develop a high-performing team; establish operating rhythms (QBR/OKRs), technical design reviews, and post-mortems.. . Communicate clearly with execs; tie data work to revenue, margin, and . customer outcomes.. . . WHO ARE WE LOOKING FOR?. . . 10+ years in data roles with 3+ years leading teams (data eng + DS/ML + analytics) in . a high-growth product company. . . Hands-on architect: you’ve built/modernised warehouses/lakes, streaming + batch . pipelines, and metrics layers; you still code (Python/SQL). . . Python, SQL, dbt; orchestration (Airflow/Prefect); streaming . (Kafka/PubSub/Kinesis) and batch ELT; data modeling (Dimensional + Data . Vault where appropriate).. . Warehouses/lakes: BigQuery / Snowflake / Athena + S3; storage formats . (Parquet/Iceberg/Delta); CI/CD for data; observability (Great . Expectations/Monte Carlo).. . Catalog/lineage (DataHub/Amundsen), RBAC/ABAC, PII handling, GDPR . alignment, retention, and incident response.. . . . Practical MLOps experience: training/serving at scale, monitoring drift, experiment . design, and measurable impact in production. . . MLOps: feature store (Feast/Tecton), model registry (MLflow), experiment . tracking, online/offline validation, monitoring.. . . . Build business wide Data Intelligence capabilities and self-serving BI: . . BI: Metabase / Superset; semantic/metrics layer (LookML/dbt . Metrics/Transform).. . . . Strong stakeholder and team leadership: translate business goals into a focused . roadmap, manage trade-offs, and drive adoption. . . Hiring, coaching, performance management; roadmap/OKRs; vendor . management and cost discipline; crisp executive communication.. . . . Excellent communication; fluent in English (Portuguese/Spanish a plus).. . Bonus for Computer Vision and Deep Learning Product development experience. . .