Manager, AI Strategy

Responsibilities

• Cook up and oversee the day-to-day advancement of data projects on the MRCL platform, working closely with program management to ensure technical initiatives are properly scoped, tracked, and delivered.
• Act as a pivotal liaison between engineering and program management, making sure technical project requirements are clearly articulated and that execution aligns with strategic objectives.
• Develop and sustain project tracking tools, documentation, and reporting frameworks that offer real-time visibility into data initiative progress.
• Collaborate with the VP & Directors, AI & Data Strategy to implement the engineering roadmap, ensuring workstreams are sequenced appropriately and resources are allocated effectively.
• Facilitate cooperation among data, engineering, and client-facing teams, ensuring alignment on requirements, timelines, and delivery expectations.
• Manage the procurement and onboarding of data sources, tools, and vendors, coordinating across legal, procurement, and technical teams as necessary.
• Contribute to the creation of data governance practices and standards, helping to establish consistent, high-quality data habits across the MRCL program.
• Drive 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.
• Able 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.