AI & Data Lead - Groupe HARVEST - Paris - H/F

AI & Data Lead – Groupe HARVEST – Paris – H/F Role Overview As our AI & Data Lead you will own the end‑to‑end integration of AI across both product and operations to enhance products and improve operational efficiency, while looking after existing models and dashboards.

Key Responsibilities

Define and execute the company‑wide AI strategy.

Co‑build roadmaps with Product Managers and steer discovery/delivery of 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).

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.

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.

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.

Maintain existing dashboards and reports; ensure 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.

Set objectives, give continuous feedback, and help your three direct reports grow their craft.

Foster a culture of experimentation, pragmatism, and ownership.

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.

Qualifications

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 executives.

Excellent communication skills; able to switch from deep technical discussions to C‑level storytelling.

Fluent in English.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Software Development

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