Senior Principal Data Strategy

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.

Senior Principal

As a Senior Principal (Data Strategist), you will be responsible for defining and implementing enterprise-wide data strategies that drive business transformation and innovation. You will work closely with executive leadership, business stakeholders, and technology teams to develop data-driven roadmaps, governance frameworks, and architecture blueprints that align with business objectives and regulatory requirements.

Your Impact

The purpose of the Senior Principal, AI & Data Strategy is to work with clients undergoing a data-driven transformation (DDT) across the globe. The Senior Principal, AI & Data Strategy will accelerate and drive the DDT strategy for clients, working in partnership with client-facing leads, client teams, and practice capability. Furthermore, the role will be a key contributor in ensuring the agency is an industry leader in AI and data thinking, execution, and value realization for clients through data-driven solutions. Specifically, this role leads the definition of data-driven learning agendas, use cases for AI and technology adoption, data strategy as well as owning partner evaluation, selection, and integration, and finally activation on client accounts. The requirement of the role is both strategic as well as executional, leading the activation of data-driven and AI-powered business solutions. Candidates must bring deep, hands‑on expertise in AI and data, and should have at least one industry vertical (e.g. retail, financial services, healthcare, media, manufacturing) they know.

• Lead execution of data- and AI-driven program approach across teams, supporting client-facing leads in the development of data and AI strategies, setting best practice approaches, and educating client teams
• Provide strategic direction on data and AI-driven thought leadership agenda
• Lead the continuous embedding of new data-driven and AI-driven approaches and case studies
• Be a key driver of new business pitches and prototyping work
• Grow the use of data and AI platforms (e.g. CDPs, data lakes, ML/AI platforms) in data-driven use cases, application in business initiatives, and general adoption through strategy to connect to a wider spectrum of datasets, particularly 1P and 2P data
• Support the development of technology-based platforms and applications as a data and AI strategist, providing data and AI thought leadership alongside internal data & tech talent
• Define and support the design and implementation, of data-driven and AI-driven use cases
• Function as the data and AI technology and strategy subject matter expert, acting as a client steward and trusted partner, ensuring the technology ecosystem fits together while leading the implementation of any desired changes and proactively suggesting optimizations to improve data fluidity, reducing data loss / improving data match rates
  • Provide data and AI thought leadership and communicate data and AI strategy needs as inputs into the broader business partnership strategy

Skills & Experience

• Strong data and AI knowledge, able to interpret client business/technical requirements, and support in translating these into clearly articulated, parceled up learning agendas and strategies to accelerate how data , AI, and technology support the maximization of client business outcomes.
• Practical knowledge in at least one industry (e.g. retail, financial services, healthcare, media, manufacturing), with a strong understanding of how data and AI create value in that context.
• Knowledgeable about data and AI capabilities/use cases, data types, sources, partners, and what defines the quality of data; expert in leveraging data and AI in a business context for activation, measurement as well as strategic applications
• Excellent storytelli