Associate Director for Architecture and Analytics Platforms, IT Data & Analytics

Whether it's the unique breadth of our integrated offering that covers Injectable Aesthetics, Dermatological Skincare and Therapeutic Dermatology products; or our commitment to recognizing and rewarding people for the contribution they make - working here isn't like anywhere else. At Galderma, we actively give our teams reasons to believe in our ambition to become the leading dermatology company in the world. With us, you have the ultimate opportunity to gain new and challenging work experiences and create an unparalleled, direct impact. As Associate Director for Architecture and Analytics, you will be reporting to the U.S Head of IT and will be part of the U.S Regional IT Team. This is a new opportunity for an experienced candidate to 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. The Associate Director for Architecture and Analytics is 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. Key Responsibilities Leadership & Management: Provide support and consultancy to central and regional project teams, IT Service Owners, Managed Services, and Application Support teams to ensure solutions are designed, delivered and sustained at the right level of integration, leveraging accurate and compliant technology. Share design and solutions across functional areas and regions to ensure collaboration, and facilitate synergies. Make sure solutions are designed to maximize both global and business ROI. Ensure consistency of solution design across areas to support integrated reporting and analytics and to facilitate widespread adoption of use cases. Manage the portfolio of "as is" and "to be" solutions, ensuring they are documented and communicated effectively. Act as the main point of contact for project, security, architecture, and infrastructure teams. Coordinate activities between internal/external resources for data acquisition, engineering, development, delivery and hyper‑care/sustain. Conduct design reviews for new solutions and major changes to existing solutions. Identify and review gaps in capability, and validate options. Exceptional ability to collaborate and work effectively with a diverse group of teams (either onsite or virtual), functional areas, and individuals. Ability to thrive in a fast‑paced, complex environment and to communicate across all levels of the organization. Recruit, develop and grow a strong pipeline of platform engineering professionals. Provide budgeting and resources for projects.Data ingestion, integration and modeling: Provide guidance and support for acquiring external/internal data for Analytics and data hub. Provide requirements and priorities for data acquisition, establishing and standardizing the processes for loading and maintaining critical 1P, 2P and 3P data. Oversee and manage resources. Ensure consistent data models with clear guidelines for localization. Ensure data is enabled at the right level of integration. Leverage existing data standards, and identify gaps in data standards and raise them to data and architectural leadership.Front-end Reporting Tools: Govern tools and functionalities roadmap, and ensure that the front-end tools are correctly positioned, with the necessary capabilities to fully exploit them for key data and reporting initiatives. Maintain and drive adoption of global templates and accelerators. Enhance skills and capabilities in front‑end solution design, user experience and data visualization. Facilitate usage of solutions in front-end tools, including PowerBI, etc.Advanced Analytics & Data Science: Partner with the Business Unit, global and functional business stakeholders to facilitate an understanding of key business concerns requiring advanced analytics. Provision, deploy and industrialize Galderma compliant data science toolset. Streamline integration with data science tools and facilitate usage of advanced analytics solutions. Influence architecture and data models to empower advanced analytics. Collaborate on the front-end user interfaces for the deployment of advanced analytics. Identify advanced analytic initiatives that can be scaled and industrialized. Conduct design reviews for new mathematical (R) solutions and major changes to existing solutions. Guide projects to identify the best approach for modeling data for mathematical analysis.Platforms and Applications sustainability: Lead, organize and coordinate teams for the delivery of effective and low‑cost, application sustain and monitoring services. Ensure sustain services are built into all future deployments of applications. Identify gaps in solutions support, and liaise with service providers to resolve them. Manage the knowledge requirements, transfer & approach of the support teams. Create the mechanism for triggering support and maintenance with the goal of ticket reductions and overall efficiencies. Collaborate with Service Management and external teams.As a member of the IT Extended Management Team, contribute to set direction of the Global IT organization. Always act as "One Enterprise IT". Other duties as assigned. Skills & Qualifications 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 Intelligence 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 (Data Factory, Event Hub, Databricks, etc.), 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. Experience with health care data as well as FMCG/CPG industries. 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. Benefits You will be working for an organization that embraces diversity & inclusion and believe we will deliver better outcomes by reflecting the perspectives of our diverse customer base. You will also have access to a range of company benefits, including a competitive wage with shift differential, annual bonus opportunities and career advancement and cross‑training. Employer’s Rights This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based on your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not an employment contract, and either you or the employer may terminate employment at any time, for any reason. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #J-18808-Ljbffr Galderma Laboratories, LP