About the role

Associate Director for Architecture and Analytics managing data & analytics solutions at Galderma. Leading design, deployment, and sustain activities across organizational analytics needs.

Responsibilities

reporting to the U.S Head of IT and will be part of the U.S Regional IT Team
develop a deep understanding of the organizational, business, financial, operational, and commercial priorities to deliver business value through reliable, effective, and efficient data and analytics solutions
responsible for the overall data & analytics solutions “Design, Deploy and Sustain” activities across Galderma, ensuring scalability, performance, reusability, compliance, and consistency, leveraging best practices in data ingestion, data modeling, integration, data science and front-end reporting.
Provide support and consultancy to central and regional project teams, IT Service Owners, Managed Services, and Application Support teams
Make sure solutions are designed to maximize both global and business ROI
Act as the main point of contact for project, security, architecture, and infrastructure teams
Conduct design reviews for new solutions and major changes to existing solutions
Identify and review gaps in capability
Govern tools and functionalities roadmap, and ensure that the front-end tools are correctly positioned
Partner with the Business Unit, global and functional business stakeholders to facilitate an understanding of key business concerns requiring advanced analytics
Lead, organize and coordinate teams for the delivery of effective and low-cost, application sustain and monitoring services

Minimum 5 years plus experience managing onshore and offshore teams
10-plus years work experience in managing data-related activities within a Commercial organization
Minimum 5 years plus in Business Intelligences Reporting or/and Visualization tools
Strong experience with design, development, and deployment of multiple complex or large-scale operational analytics capabilities.
Fluent in Azure cloud data architecture, orchestration, and data integration patterns, storage and processing (Datalake, Snowflake)
Experience with the implementation of self-service analytic solutions such as Powerbi, or BOBJ (Business Objects) strongly preferred
Familiarity with DevOps best practices and automation of documentation, testing, build, deployment, configuration, and monitoring
Good understanding of azure cloud PaaS services like security, monitoring, logging, scaling, etc.
Familiar with data frameworks such as Data Fabric, Data Mesh, Data Lakehouse
Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
Education: Master’s degree or equivalent with a specialization in IT or information systems
PMP Certification is a plus.
Scrum master certification is a plus.