PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Consultant Data & AI Manager

Technology & Systems ConsultingConfirmed live in the last 24 hours

Full-timeTunis, TunisiaNo salary listedIn-person

About the Job

Requirements

Six to eight years of experience in a similar role.
Strong ability to analyze and explain technical results to non-technical audiences.
Consulting mindset and business-value orientation.
Autonomy, rigor, and ability to work on multiple complex topics.
Strong interpersonal skills and ability to work in international environments.
Data modeling.
Advanced SQL.
Business intelligence and reporting using Power BI.
Data governance and quality.
Machine learning, deep learning, and natural language processing.
Machine learning operations (MLOps).
Model industrialization, monitoring, and performance.
Large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI agents and multi-agent systems, vector databases, hallucination mitigation and guardrails, and model fine-tuning and optimization.
Azure (preferred cloud platform), AWS, and Google Cloud Platform.
Git, continuous integration and continuous delivery (CI/CD), APIs, and integration of AI services.

Responsibilities

Identify and qualify high-value business opportunities in data and AI.
Facilitate scoping workshops with business and IT stakeholders.
Build business cases and transformation roadmaps.
Define organizational, functional, and technological prerequisites.
Challenge architecture choices and technical directions.
Lead data, analytics, AI, and generative AI projects.
Secure project commitments, timelines, and deliverable quality.
Ensure business adoption of solutions.
Design architectures based on large language models.
Define retrieval-augmented generation strategies.
Implement AI agents and agentic workflows.
Define security mechanisms, guardrails, and quality controls.
Manage and support data and AI consultants.
Coach consultants and develop their skills.
Participate in recruitment and technical evaluation of candidates.
Contribute to knowledge sharing and the visibility of the data and AI community.
Participate in presales activities and responses to requests for proposals.
Contribute to commercial proposals and client presentations.
Participate in developing data and AI offerings.

Job Description & Summary

Au sein de l'équipe Data & IA, le Manager accompagne les organisations dans la définition, la conception et le déploiement de solutions Data, Analytics, Machine Learning et Intelligence Artificielle.
Il intervient à la fois comme expert, chef d'orchestre des dispositifs de transformation et responsable de la relation client, depuis les phases de cadrage jusqu'à l'industrialisation des solutions.
Le Manager Data & IA pilote des équipes pluridisciplinaires, contribue au développement des offres, participe activement aux démarches commerciales et garantit la qualité des solutions délivrées.

Principales responsabilités :

Cadrer et orienter les initiatives Data & IA

Identifier et qualifier les opportunités Data & IA à forte valeur métier.
Animer des ateliers de cadrage avec les vis-à-vis métiers et IT.
Construire des business cases et trajectoires de transformation.
Définir les prérequis organisationnels, fonctionnels et technologiques.
Challenger les choix d'architecture et les orientations techniques.

Piloter la réalisation des projets

Diriger des projets Data, Analytics, IA et GenAI.
Sécuriser les engagements projet, les délais et la qualité des livrables.
Garantir l'adoption des solutions par les métiers.

Développer les solutions GenAI

Concevoir des architectures basées sur les LLM.
Définir des stratégies RAG (Retrieval Augmented Generation).
Mettre en œuvre des agents IA et workflows agentiques.
Définir les mécanismes de sécurité, guardrails et contrôle qualité.

Encadrer et faire grandir les équipes

Manager et accompagner les consultants Data & IA.
Assurer le coaching et le développement des compétences.
Participer au recrutement et à l'évaluation technique des candidats.
Contribuer à la capitalisation et au rayonnement de la communauté Data & IA.

Développer l'activité

Participer aux avant-ventes et réponses aux appels d'offres.
Contribuer aux propositions commerciales et soutenances clients.
Participer à la construction des offres Data & IA.

Compétences techniques:

Data & Analytics

Data Modeling
SQL avancé
BI & Reporting (Power BI)
Gouvernance et qualité des données

Machine Learning & IA

Machine Learning
Deep Learning
NLP
MLOps
Industrialisation, monitoring et performance des modèles

GenAI

Large Language Models (LLM)
Prompt Engineering
RAG (Retrieval Augmented Generation)
Agents IA et systèmes multi-agents
Vector Databases
Hallucinations et guardrails
Fine-tuning et optimisation des modèles

Cloud & Engineering

Azure (prioritaire)
AWS / GCP
Git / CI-CD
API et intégration de services IA

Compétences transverses

6 à 8 années d'expérience dans un poste similaire
Forte capacité d’analyse et de vulgarisation des résultats techniques
Esprit de conseil et orientation valeur business
Autonomie, rigueur et capacité à travailler sur plusieurs sujets complexes
Bon relationnel et capacité à évoluer dans des environnements internationaux

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size: 10,001+
Company stage: Early VC
Total funding: $3.3M
Headquarters: London, United Kingdom
Founded: 1989

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