Role Overview
As our AI & Data Lead you will own the end-to-end integration of AI across both to enhance products and improve operational efficiency and look after existing models and dashboards. You will:
- Define and execute the company-wide AI strategy.
- Co-build roadmaps with Product Managers and steer discovery/delivery for AI-powered features.
- Identify, launch, and maintain internal AI and Data initiatives that lift productivity and quality.
- Grow and coach a multidisciplinary squad (AI Engineer, Data Analyst, Data Engineer).
Key Responsibilities
- AI Product Strategy & Roadmapping
- Craft a clear AI vision aligned with company objectives and customer pain points.
- Translate vision into quarterly roadmaps
- Define success metrics, ROI models, and governance standards for AI features.
- Discovery & Delivery Leadership
- Run discovery with customers, PMs and designers
- Write PRDs, user stories, and acceptance criteria for AI/ML services
- Lead the AI squads through agile rituals; de-risk delivery, control scope, and ensure model–product fit.
- AI Operations & Enablement
- Drive AI literacy: run workshops, mentor non-tech teams, and champion responsible-AI guidelines.
- Identify high-value internal use cases and find solutions to tackle them
- Data & Analytics
- Maintain existing dashboards and reports, make sure data is refreshed and correct.
- Handle simple data requests from business teams, especially CST and Finance.
- Prioritise and answer ad-hoc questions (KPIs, extractions, small analyses).
- Coordinate with data engineer to keep data pipelines stable.
- Help standardise key metrics and basic data definitions with stakeholders.
- Team Management & Talent Development
- Set objectives, give continuous feedback, and help your three direct reports grow their craft.
- Foster a culture of experimentation, pragmatism, and ownership.
- Stakeholder Management & Communication
- Act as single point of contact for executives, sales, csm, PM compliance on all things regarding AI.
- Present roadmap progress, KPIs, and learnings in steering committees and board updates.
Profil Recherché
WHAT YOU BRING
- 7+ years in product, data, or ML engineering roles, including 2+ years leading AI/ML products end-to-end in a SaaS or fintech environment.
- Master’s in Computer Science, Data Science, Engineering, or equivalent practical experience.
- Proven ability to translate business problems into model architectures and product experiences that ship.
- Knowledge of modern BI & ML stacks (Python, TensorFlow/PyTorch, LangChain, AWS /Azure, Tableau/ Power BI/ Metabase).
- Strong understanding of data engineering and AI fundamentals: pipelines, warehousing, governance, observability, LLMs, RAG, fine tuning
- Leadership experience managing small, multidisciplinary teams and collaborating with execs.
- Excellent communication skills; able to switch from deep technical discussions to C-level storytelling.
- Fluent in English