Director of Data Consulting - CRM/martech

VML MAP•Toronto, ON

2d•Hybrid

About The Position

WPP is seeking a Senior Director, Analytics to lead analytics, data science, BI, insights, CRM measurement, audience strategy, and marketing effectiveness for a major client. This role involves being a trusted advisor, connecting client priorities to capabilities in data, CRM, technology, and strategy to drive measurable business outcomes. The position requires a blend of analytical depth, business consulting, and cross-functional leadership, with the ability to be a "player-coach" and hands-on when needed in a fast-paced environment.

Requirements

15+ years in analytics, including significant leadership and consultative experience in an agency, consultancy, systems integrator, or client-service environment.
Hands-on experience with tools such as SQL, Python, R, BigQuery, Google Analytics, Salesforce, Adobe, or comparable platforms.
Ability to be onsite and/or travel 50%+ of the time.
Strong core consulting skills as well as deep analytical experience and technical expertise.
Executive Communication: Strong written, verbal, and presentation skills, with the proven ability to advise senior clients and clearly communicate complex topics to stakeholders at all levels of the organization.
Structured Problem-Solving: The ability to assess complex client data landscapes, identify business requirements, and develop practical, executable solutions.
Matrix Leadership: The ability to lead through influence rather than direct authority, creating clarity and alignment across matrixed global teams and agency partners.
Relationship Building: Commercially minded with the ability to build trust and act as a trusted strategic advisor to client stakeholders.
Deep Subject Matter Expertise: Strong command of CRM, first-party data, customer analytics, marketing measurement, audience strategy, insights, and BI.
Measurement Frameworks: Proven expertise in designing measurement frameworks, KPI definitions, testing, attribution, dashboards, and optimization models.
Modern Martech Ecosystems: Familiarity with CDPs, decisioning, identity, marketing automation, or marketing cloud ecosystems.
Advanced Analytics & AI: Understanding of how to apply advanced analytics, statistical modeling, AI, and automation to forecasting, personalization, and scalable reporting.
Collaborative, curious, and comfortable with the complexity of high-tech dialogues and enterprise-level client solutions.
Drive and enthusiasm to take the lead in front of the client while possessing the humility to be a "player-coach" when the team needs hands-on support.
Strive to help and inspire the client to grow their business by turning complex data into clear business recommendations.

Nice To Haves

Experience in automotive or another data-rich consumer category (understanding automotive customer journeys, dealership/retail networks, loyalty, and lifecycle marketing).
Local to the Detroit metro area, or open to cities within a 2-hour flight time to Detroit.

Responsibilities

Lead Client Analytics & Strategic Advisory: Own the analytics agenda for the client relationship and align all work to business priorities and measurable outcomes. Advise senior stakeholders using data-driven insights across analytics, BI, data science, CRM, audience strategy, testing, and optimization. Translate complex signals and technical concepts into clear, actionable recommendations.
Technology, Data & CRM Architecture Enablement: Shape strategic roadmaps for CRM analytics, first-party data, measurement, audience planning, personalization, and customer intelligence. Assess client data landscapes, business requirements, and operating constraints to identify practical opportunities for improvement. Partner with technology and enablement teams to deliver scalable, executable solutions. Be "hands-on" as needed to step in, guide, or support deliverables.
Lead Across a Matrixed Organization: Lead across MAP global teams, WPP agency partners, and capability groups, building alignment through influence. Create clarity around priorities, roles, timelines, and decision-making. Help define and optimize effective ways of working for analytics within the broader client operating model.
Advance CRM & Customer Intelligence: Use first- and third-party data to identify insights, audience opportunities, and performance drivers. Inform segmentation, targeting, personalization, customer journeys, and activation readiness. Help evolve the client from traditional campaign reporting toward connected customer intelligence and decisioning.
Build Measurement & Innovation Agendas: Design comprehensive measurement frameworks and learning agendas across CRM, owned, paid, and digital channels. Define KPIs, dashboards, reporting structures, and testing approaches to improve decision-making. Apply advanced analytics, AI, and automation to forecasting, personalization, optimization, and scalable reporting.
Build and Develop Talent: Build, mentor, and retain a high-performing analytics team, including globally distributed resources. Set expectations for quality, consulting excellence, communication, and commercial impact. Foster a culture of curiosity, accountability, collaboration, and continuous improvement.