Manager, Data & Analytics

Company description

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Data plays an increasingly critical role in how we operate, manage risk, support trading decisions, optimize financial performance, and drive business growth. As we continue to modernize our analytics and data capabilities, we’re looking for a collaborative and hands‑on data leader who can help transform complex business data into trusted, actionable insights.

In this role, you’ll work at the intersection of business, data, and technology, helping shape scalable analytics solutions that enable smarter decision‑making across the organization. You’ll partner with stakeholders across Trading, Finance, Operations, and Technology while contributing to the evolution of our modern data platform, analytics architecture, and data product strategy.

This is an opportunity to solve complex data challenges, influence enterprise‑wide initiatives, and play a meaningful role in building the foundation for the organization’s future analytics capabilities.

• Lead the design and delivery of enterprise analytics solutions that support operational, financial, and strategic decision‑making.
• Partner with business leaders and stakeholders to translate business needs into analytical requirements and data‑driven solutions.
• Contribute to the development and prioritization of analytics initiatives and roadmaps aligned to organizational objectives.
• Drive adoption of reporting capabilities, data products, and self‑service analytics platforms that improve access to business insights.
• Identify opportunities to leverage data and analytics to improve business performance and decision‑making.

• Design scalable enterprise data solutions that support reporting, analytics, advanced analytics, and future AI‑driven initiatives.
• Partner with architects and engineering teams to contribute to enterprise and solution‑level data architecture strategies across multiple business domains.
• Define and promote architecture standards, reusable frameworks, and analytics best practices.
• Ensure solutions align with enterprise architecture principles, governance requirements, security standards, and long‑term scalability objectives.
• Support modernization efforts that improve the organization’s data and analytics capabilities.

• Lead the development of conceptual, logical, and physical data models that support analytical and operational reporting requirements.
• Partner with business teams to define subject areas, business domains, and data structures that reflect key business processes.
• Design and enhance data products that provide reliable, governed, and reusable datasets for analytics consumers.
• Establish scalable and business‑aligned approaches to data modeling that improve consistency, usability, and trust in enterprise data assets.

• Support the implementation and evolution of modern Lakehouse architectures leveraging cloud‑native technologies and Databricks.
• Collaborate with…