Geforderte Skills
- Data Modeling
- Business Data Modeling
- 360° Customer View
- Data Lake
- Data Warehouse
- Data Pipelines
- ETL
- Data Quality
- AI
- LLM
- Customer Profiling
- Next Best Offer
Sprachen: French
Jobbeschreibung
An insurance group is looking for a Senior Data & AI Project Manager to finalize its Data platform on Snowflake and launch AI use cases, including natural language Self BI and AI-driven customer profiling.
Project overview
As part of strengthening its teams, a company is looking for a Data & AI Project Manager to support its projects related to data, artificial intelligence, and the evolution of its information system.
The role acts as an interface between business teams, IT teams, and various technical contributors.
The client
A French independent mutual insurance group, present in several European countries. It covers life insurance and savings, retirement, property and casualty insurance (IARD), health and provident insurance, as well as reinsurance. It relies on solid asset management, particularly real estate, and a subsidiary dedicated to IT and marketing services.
Profile sought
Mission: Data & AI Project Manager (senior profile)
Framework of the mission
Context
The client has built its Data platform on Snowflake, organized into three zones: a Bronze zone for raw data from the IS and external providers, a Silver zone for reliable data forming the reference business data model, and a Gold zone for consumption (datamarts).
The Data Project Manager must finalize this foundation by modeling and building a unique 360° customer view for Life and IARD. They will then launch the first AI use cases:
- Domain: IT Department, Data team, under the responsibility of the Data Manager
- Start: end of November 2026, until end of 2027
- Modality: contracting (régie)
- Remote work: 2 days per week
- Natural language Self BI for marketing targeting, for the Dynamics CRM (the LLM considered is Snowflake's Cortex);
- AI-driven customer profiling, with recommendation of the best offer (Next Best Offer) on contact points: CRM, digital journeys, telephone platform.
Responsibilities
The project team, yet to be formed, will include Data Business Analysts, Data Engineers, and AI engineers, with support from the platform's technical manager. It may be located at the client's site or outsourced to a partner.
Work environment
Expected tasks and deliverables
Skills Level Data: data modeling, building a reference business data model, 360° unique customer view4 Data & AI Culture: storage (Data Lake, Data Warehouse), BI, AI fundamentals3 Data pipelines: ingestion, transformation, ETL, data cleaning and quality3 LLM and AI: LLM usage, customer profiling, recommendation (Next Best Offer), natural language Self BI3 Cybersecurity: data security, GDPR compliance, data governance3
Technical environment
- Identify data from source applications (customers, family, contracts, products, surrenders, ongoing processes, customer interactions, web targeting, social networks, official sources) and model them in the business data model.
- Oversee ingestion into the Bronze zone and transformation into the Silver zone.
- Translate business objectives (marketing, finance, operations) into Data requirements and specifications, assess feasibility and source quality, estimate the ROI of use cases.
- Participate in tool selection and design or integration, define tests, and participate in acceptance.
- Coordinate planning, budget, risks, and internal/external resources, act as a liaison between technical teams (Data Engineers, Data Scientists, AI engineers) and business decision-makers, manage supplier relationships.
- Ensure data security, GDPR compliance, and data governance.
- Deploy services, organize support, train users (Data Viz, LLM), and promote a "data-driven" culture.
- Guarantee compliance with deadlines, costs, and functional scope, and report progress, risks, and blocking points to the Data Manager.
- Translate business objectives into Data requirements (modeling, processing, algorithms): 3-year ambition and IT roadmap.
- Define the target data model for the Silver zone for the unique Life and IARD customer view.
- Implement and manage the realization of the Data foundation.
- Support business units in the use of natural language Self BI.
- Define and implement AI-driven customer profiling and opportunity identification for CRM.
- Provide regular progress reporting: KPI dashboard.
- Snowflake Data Platform (Bronze, Silver, and Gold zones architecture, datamarts)
- LLM considered: Snowflake Cortex
- Dynamics CRM as recipient of marketing targeting
- Self-service Data Viz and BI tools
Project details
- Start: ASAP
- Duration: 36 mois
- Remote: hybrid
- Location: Paris, Île-de-France, FR
- Languages: French
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