Context:

Pernod Ricard is the global co-leader in wines and spirits and the leader in the premium segment. Listed in the Paris CAC40, Pernod Ricard has a portfolio of prestigious brands such as Ricard, Absolut, Chivas Regal, Ballantine’s, Jameson, Martell, Havana Club, Mumm and Perrier-Jouët. With an annual turnover in excess of €9bn, the Group is present in 80+ markets around the world and employs more than 19,000 employees.

Pernod Ricard launched key Digital Programs (KDP) to leverage the power of data. To support this massive digital transformation, Pernod Ricard decided to create Centers of Excellence (CoE). One of them will be the Data Center of Excellence: An armed wing of PR ambition to become a platform company. Pernod Ricard Data CoE will offer expertise, advice, and change levers to assist and accelerate global and local data projects.

We have already started this agenda with the deployment of flagship projects with strong sponsorship from the CEO and his Top Management and large financial investment, such as the prioritization of outlets through social media data & automated updates to increase market penetration and better calibration of our route-to-market. We have built a best-in-class Data Platform where projects are delivered in production, leveraging the most recent technologies available on the public Cloud. We have designed a Data Academy program, in partnership with our HR team, to certify internally our employees.

Job Aim:

  • Define Data Architecture & Technical standards for Pernod-Ricard group
  • Design technical architecture of Data CoE assets (Data Platform, Master Data Hub, Data hub, Data science services)
  • Ensure global consistency, security, and scalability of the group Data tools & technologies
  • Synchronize with IT operations team, in charge of infrastructure and RUN, to ensure optimal synergies on technical topics
  • Maintain technological intelligence to anticipate future data tools and technologies

Roles and responsibilities:

Lead group Data Architecture strategy

  • Specify data architecture and data technologies for the Key Digital Programs
  • Define the Data architecture guidelines for the group (reporting, data-engineering, data-science)
  • Gather Pernod Ricard affiliate’s requirements in term of data tools and technologies

Ensure technical consistency of the group Data Platform and CoE Assets

  • Define architecture and technologies for the group Data Platform and its related tools
  • Specify architecture and technologies for group Master Data hubs and Data Hubs.
  • Assist CoE data-science team to define the AI & machine-learning tools
  • Define and deploy FinOps strategy to optimize cost of data services

Ensure Adoption of data best practices and tools through Data Community

  • Animate the community of Data Architects
  • Share technical data expertise with affiliates
  • Spread data architecture best practices and guidelines

Collaborate with counterparts

  • Organize frequent synchronisation meetings with Data CoE team members to ensure alignment on technical topics.
  • Closely work with IT Operations team to ensure Smooth transition from Build to Run (RUN, update, CI/CD, infra as code)
  • Ensure frequent alignments with other architecture teams.

Job Scope:

  • Internal stakeholders: Data stakeholders of all the affiliates, IT Managers, Business Relationship Managers
  • Key External stakeholders: data External providers, cloud/data providers, communication agencies, Peers in noncompetitive companies
  • Job scope: 100% international

Profile required:

  • Bachelor’s and/or Master’s degree from Engineering School / University
  • 5+ years of experience in a data positions, preferably in an international context.
  • Languages and other skills:
    • Fluent in English; French is a nice to have.
    • Deep insight into data architecture & data driven projects
    • Excellent listening skills, strong attention to details, influencing style.
    • Excellent communication and interpersonal skills, able to build and maintain effective working relationships. Foster collaboration and cultivate innovation.
    • Proactive in solutions building, autonomous & reactive.
    • Results-oriented, tech savvy.
    • Open-minded, creative, ability to promote diversity and identify diverse talents.
  • Technical Skills:
    • Cloud: Good knowledge in one or several Cloud providers such as: Microsoft Azure, Amazon Web Services, google. Strong understanding of IaaS, PaaS, SaaS models and ability to switch and adapt quickly to various stacks.
    • Data: Excellence knowledge in data architectures including data storage, data warehouse, data mart, data processing & machine learning solutions.
    • Architecture: Capabilities to design system from all aspects: high level architecture, infrastructure, software architecture. Excellent understanding of data and API driven architectures.
    • Development: Strong background in development to be able to drive technical choices made by our developers.
    • Infrastructure: Good knowledge of IT infrastructure in general on both On-Premise & Cloud environments.
    • Security: Good knowledge in IT Security to ensure solutions delivered meet requirements.
    • DevOps: Excellent knowledge (including previous experience) of DevOps tools that helps simplifying and automating everything, pushing toward “No Ops” limits.
  • Tools & technologies:
    • Cloud: Azure (Data Factory, ADF, Datalake, Synapse, Azure Machine Learning...), AWS (S3, Lambda, Athena...), GCP
    • Languages / Framework: Python, Node.js, Javascript
    • OS: Windows & Linux (Debian, Ubuntu, Alpine)
    • Containers: Docker, AWS ECS / Fargate / EKS, AKS
    • Source Control: Azure DevOps, Git, Bitbucket, GitHub
    • Infra as Code: Terraform
    • CI-CD: Azure Pipelines, Bitbucket pipeline,
    • Fundamentals:   API, RESTful, SOAP, XML, SCRUM, DevOps
    • Data tools:  Storage (S3, Snowflake, Elasticsearch), processing (Python/R)
    • Data Science & AI: Pandas, tensorflow, scikit-learn
    • Dashboarding Solutions (PowerBI, Qlikview, Tableau)

Role accountability:

The Data Architect will report directly to the to the Head of Data CoE.

The Data Architect may manage a team of external consultants.

Job Posting End Date:

Target Hire Date:

2021-01-26-08:00

Target End Date:

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