Salary Range: €83,800.50 - €155,629.50 Job Description Summary About the Role We are seeking an experienced Associate Director, Data Cloud Engineering, to lead the design, development, and optimization of cloud-native data platforms and analytics solutions. This role will drive the architecture and integration of enterprise data ecosystems, leveraging Google Cloud Platform (GCP), BigQuery, modern engineering practices, and scalable software solutions to enable advanced analytics and business decision-making. While experience with digital analytics platforms such as Google Analytics 4 (GA4) is advantageous, the primary focus of this role is building robust data foundations, engineering scalable solutions, and enabling data-driven innovation across the organization. Job Description Key Responsibilities Lead Cloud Data Engineering Strategy • Design and deliver scalable cloud-native data architectures that support analytics, reporting, activation, and AI-driven use cases. • Own the integration and optimization of GA4, BigQuery, GCP, and enterprise data platforms. • Establish best practices for data engineering, cloud architecture, governance, and operational excellence. • Drive modernization initiatives that enhance scalability, reliability, and performance. Build and Maintain Analytics Platforms • Architect and develop robust ETL/ELT pipelines and data workflows. • Design and optimize enterprise-scale datasets and data models within BigQuery. • Enable seamless integration between digital data sources, marketing platforms, and enterprise data ecosystems. • Ensure data is reliable, accessible, and actionable for business users and analytics teams. Software Engineering & Development • Contribute to the development of both front-end and back-end solutions supporting analytics products and data applications. • Develop APIs, microservices, and cloud-native applications that facilitate data access and consumption. • Apply software engineering best practices, including code quality, testing, CI/CD, version control, and automation. • Support development of self-service data and reporting capabilities across the organization. Business Partnership & Stakeholder Engagement • Partner with senior stakeholders to understand strategic objectives and translate business needs into scalable technical solutions. • Communicate complex technical concepts to both technical and non-technical audiences. • Demonstrate the business value of analytics and cloud technologies through measurable outcomes and data-driven storytelling. • Influence technology decisions through expertise and strategic recommendations. Innovation, AI & Automation • Explore and implement emerging cloud, data, and AI technologies to improve business performance. • Leverage automation and AI-enabled tools to enhance engineering efficiency, data quality, and decision-making. • Promote responsible AI practices, ensuring appropriate governance, compliance, privacy, and security controls. Qualifications 8+ years of experience in Data Engineering, Analytics Engineering, Cloud Engineering, Software Engineering, or a related field. Strong hands-on experience with Google Cloud Platform (GCP) and BigQuery. Proven experience designing and building scalable cloud-native data architectures and data pipelines. Expertise in SQL and at least one programming language such as Python, JavaScript, or TypeScript. Experience developing APIs, integrations, and data services. • Strong understanding of data modeling, data warehousing, ETL/ELT frameworks, and data governance. Experience working with enterprise data platforms, data lakes, and analytical ecosystems. Ability to partner with business and technical stakeholders to translate requirements into scalable solutions. Desirable Experience Experience with Google Analytics 4 (GA4) and digital analytics data structures. Understanding of web analytics implementation and measurement frameworks. Experience with Google Tag Manager (GTM) and event-based tracking models. Exposure to marketing technology (MarTech), customer analytics, or digital marketing measurement. Experience with AWS and/or Azure. Experience with Looker, Power BI, Tableau, dbt, Airflow, or similar platforms. Experience leveraging AI and automation technologies within cloud data environments. Experience in pharmaceutical, healthcare, biotechnology, or consumer goods industries. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Skills Desired Cross-Functional Collaboration, Customer Engagement, Customer Insights, Data Analytics, Digital Marketing, Market Research, Media Campaigns, Product Marketing, Stakeholder Engagement, Stakeholder Management, Team Leadership, Waterfall Model Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives. Novartis is aware of employment scams which make false use of our company name or leader’s names or recruiter’s names to defraud job seekers. Novartis does not make job offers without interview and never asks candidates for money. If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information. Novartis is not responsible for any claims, losses, damages, or expenses resulting from scams. In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov .

Associate Director, Data Cloud Engineering.

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