OverviewThe Manager, Data Strategy is both a strategic coordinator and an operational driver for MRCL's data workstream, responsible for progressing the data & engineering projects that fuel the platform's intelligence. This role works deeply with program management to ensure technical projects are executed properly - connecting stakeholders, maintaining accountability, and removing blockers so that strategic ambitions translate into well-executed outcomes. The Manager is a proactive problem-solver with a strong foundation in data concepts and a talent for keeping complex, multi-workstream projects organized, on track, and aligned to broader program goals.
Responsibilities- Coordinate and manage the day-to-day progress of data projects across the MRCL platform, working closely with program management to ensure technical initiatives are properly scoped, tracked, and delivered
- Serve as a key liaison between engineering and program management, ensuring that technical project requirements are clearly communicated and that execution is aligned to strategic intent
- Develop and maintain project tracking tools, documentation, and reporting frameworks that provide real-time access to data initiative progress
- Partner with the VP & Directors, AI & Data Strategy to operationalize the engineering roadmap, ensuring workstreams are sequenced appropriately and resourced effectively
- Facilitate collaboration between data, engineering, and client-facing teams, ensuring alignment on requirements, timelines, and delivery expectations
- Support the procurement and onboarding of data sources, tools, and vendors, coordinating across legal, procurement, and technical teams as needed
- Contribute to the development of data governance practices and standards, helping embed consistent, high-quality data habits across the MRCL program
- Lead the strategic adoption and operationalization of AI technologies across the MRCL platform, including LLM-powered applications, agentic workflows, and AI services, ensuring scalable, secure, and enterprise-grade deployment.
- Establish governance and best practices for AI systems, including model lifecycle management, observability, evaluation frameworks, responsible AI standards, and integration with enterprise data and security controls
Qualifications- Strong project and program coordination skills with experience managing technical workstreams across multiple stakeholders
- Solid foundational knowledge of data concepts including data sourcing, governance, and pipeline basics
- Ability to serve as an effective bridge between technical teams and program management, translating between both worlds fluently
- Highly organized with a strong attention to detail - skilled at building and maintaining tracking tools, documentation, and status reporting
- Proactive communicator who can surface risks and blockers early and drive resolution
- Comfortable working in fast-paced, ambiguous environments with multiple concurrent priorities
- Experience working within or alongside data strategy, analytics, or marketing technology functions is a plus
Additional informationPublicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
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