Data Engineer, Applied AI Strategy

OverviewGlobally focused strategist who defines how diverse data assets are integrated, governed, and activated through AI within Publicis AI solutions to deliver actionable business and marketing intelligence. ResponsibilitiesGlobal Data Strategy: Define and evolve global data strategy for Publicis AI across media, transactional, attitudinal, identity, and external data sources. Data Framework Design: Establish strategic frameworks for how data is sourced, integrated, enriched, and activated to support AI-driven insights and decisioning. Technical Implementation & Deployment: Configure, build, test, and operationalize workflows across MRCL and supporting platforms. Support deployment readiness and ensure technical solutions can be adopted successfully by end users. AI & Product Alignment: Partner with AI, product, and engineering leaders to align data strategy with model development, GenAI use cases, and platform capabilities. Taxonomy & Signal Architecture: Lead the design of data taxonomies, ontologies, and signal frameworks that enable consistent intelligence across markets. Business Requirement Translation: Translate client and business objectives into data requirements that power marketing intelligence, measurement, and optimization. Governance & Responsible AI: Guide best practices for data governance, privacy, and responsible AI usage across global markets. Advisory & Enablement: Act as a strategic advisor to regional teams and clients on data readiness, data value, and AI enablement. Ecosystem Gap Identification: Identify gaps and opportunities in the data ecosystem and influence Publicis AI roadmap priorities. QualificationsDeep understanding of how media, transactional, and attitudinal data combine to drive business and marketing intelligence. Proven ability to develop & communicate global data strategy across diverse markets/ stakeholders. Strong fluency in AI concepts and how data fuels ML, GenAI, and advanced analytics. Balances strategic vision with data availability, quality, & governance constraints Qualifications (Required) 2+ years in data strategy, analytics strategy, or marketing intelligence. Expertise across media, transactional, attitudinal, and first-/third-party data ecosystems. Strong understanding of AI, machine learning, and advanced analytics strategies Experience working in global or multi-market environments. Proven ability to influence without direct authority in complex organizations. Preferred / Stand-Out Experience Experience leading or influencing enterprise or global data strategy initiatives Experience in media, marketing services, consulting, or technology platforms. Compensation Range: USD $ - . This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/16/2026.