Descriptif du poste

Développer le portefeuille prospects et clients en :

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Profil recherché

YOUR EXPERIENCE: 
You will have experience with most of the following:

• Industries (at least one): Aerospace & Defence, Automotive, Banking, Capital Markets, Chemicals, Communications & Media, Consumer Goods & Services, Energy, Health, High Tech, Industrial, Insurance, Life Sciences, Natural Resources, Public Service, Retail, Software & Platforms, Travel and Utilities.
• Big Data, Analytics and Artificial Intelligence Enterprise Architecture strategy and roadmap design
• Big Data, Analytics and Artificial Intelligence Enterprise Architecture governance
• Big Data, Analytics and Artificial Intelligence blueprints and architecture, including industry and technology relevant perspectives and patterns.
• Big Data, Analytics and Artificial Intelligence Solutions Architecture.
• General architecture advisory services.
• Extensive knowledge of typical back-office, middle-office and front-office processes and technologies, particularly data ingestion, preparation and management (data capture, data catalogue, data quality, master data management, etc.).
• Extensive knowledge of data pipelines, data lifecycle and data governance.
• Passion for the “old” digital technology trends (e.g. ERP, CRM, SCM, etc.) and the “new” technology disruptions (e.g. Cloud, Serverless, Microservices, Containers, Big Data, Analytics, Artificial Intelligence, High-Performace Computing and, in the future, Quantum Computing and Distributed Ledgers).

• Minimum of a University degree (Computer Science, Telecommunications or similar).
• Minimum of 5+ years of professional working experience in Technology Advisory and/or Enterprise Architecture roles.
• Minimum of 3+ years of professional working experience in cloud-based Big Data, Analytics and Artificial Intelligence Architectures.
• Relevant cloud certifications from AWS, Microsoft Azure and/or Google Cloud are highly desirable:
• AWS: Certified Database Specialty, Certified Data Analytics, Certified Machine Learning.
• Microsoft: Certified Azure Database Administrator, Certified Azure Data Engineer, Certified Azure AI Engineer.
• Google: Professional Data Engineer, Professional Machine Learning Engineer.
• Technical certifications from other vendors specialising on Big Data, Analytics and AI products are a plus: Databricks, Snowflake, Alteryx, Teradata, SAS, Qlik, Tableau, etc.
• Technical certifications from other vendors specialising on data ingestion, preparation and management are a plus: Informatica, Talend, SAP, Oracle, etc.
• In-depth knowledge of related open source technologies: Hadoop, Spark, Kafka, Presto, etc.
• Excellent IaC and CaC skills. Preferred development environments are YAML, JSON, PowerShell and Shell.
• Excellent CI/CD/DevOps skills, both from a tooling and usage perspectives, particularly within the data automation space.
• Good working knowledge of analytics and artificial intelligence software development architectures is a plus. Preferred development environments are R, Python, Scala, Java, Pig, Hive, etc.
• Good working knowledge of Agile methodologies.
• Proven ability to work creatively and analytically in a problem-solving environment
• Proven communication (written and oral) and interpersonal skills at executive level.
• A natural ability to sense the needs of our customers combined with a fervent desire to provide excellent customer service
• An ability to articulate and clearly communicate complex problems and solutions in a simple and logical manner
• Well-developed analytical skills and the ability to provide clarity to complex issues and synthesize large amount of information
• Problems solving and out-of-the-box thinking ability, directed at defining innovative solutions to satisfy customer requirements
• Ability to work under pressure and according to timelines
• English at professional level
• Travel flexibility across Europe
• Comfort conveying both high-level and detailed information, adjusting the way ideas are presented to better address varying social styles and audiences.
• An ability to challenge a client's thinking by diplomatically providing an objective and independent point of view.
• An ability to identify opportunities based on your deep understanding of our offerings and our client’s issues.
• Experience managing large teams through complex situations, adapting quickly and helping others navigate change.
• Experience structuring activities that play to a team's strengths and provide opportunities for others to grow.
• Experience working through organisational change, developing and implementing creative solutions and closely partnering with clients to regularly confirm expectations are met and value delivered.
• Clear understanding of key methodologies, approaches and market trends in the industry.

• We offer a transparent approach career progression, with a focus on your strengths and continuous coaching from senior colleagues.
• You’ll benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and cutting-edge tools. Flexible work arrangements and a range of benefits.
• You'll have access to leading-edge technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends.
• Competitive rewards linked to fast-paced progression.
• You’ll also have opportunities to make a difference to the communities in which we work and live.