Martech Consultant - Consulting-Paris

Location: France

* Mar Tech Strategy & Vision:
Lead engagements that define clients' Mar Tech north star: assessing current-state stack maturity, identifying capability gaps, and designing a prioritized technology and operating model roadmap aligned to business strategy and customer experience goals.

* Stack Rationalization & Architecture:
Guide clients through Mar Tech stack audits and consolidation decisions - evaluating platform sprawl, redundancy, integration complexity, and total cost of ownership to recommend a coherent, scalable architecture.

* Vendor Selection & RFP Leadership:
Lead structured vendor evaluation and selection processes for marquee Mar Tech platforms (CDP, MAP, CRM, CMS, personalization); develop evaluation frameworks, scoring models, and executive recommendation packages.

* Engagement Ownership:
Own the full engagement plan: scope, milestones, team structure, risk management, client communication, and delivery quality. Serve as primary client point of contact and trusted advisor throughout.

* Stakeholder Management:
Build and sustain relationships with CMOs, VPs of Marketing, CIOs, and Digital leaders; translate marketing strategy imperatives into technology investment decisions with clear business case justification.

AI-Driven Marketing & Personalization

* AI Marketing Strategy:
Advise clients on integrating AI capabilities into their marketing operations: predictive lead scoring, AI-driven audience segmentation, next-best-action engines, generative content at scale, and automated campaign optimization.

* Generative AI in Marketing:
Lead advisory engagements on GenAI adoption for marketing - content generation workflows, brand governance guardrails, creative automation, AI-assisted email and journey personalization - helping clients move from experimentation to production at scale.

* Agentic Marketing Capabilities:
Identify and guide implementation of emerging agentic AI applications in marketing: autonomous campaign management, AI-orchestrated customer journeys, and AI-powered real-time decision engines integrated with Mar Tech platforms.

* Personalization & CX Architecture:
Design omnichannel personalization strategies - connecting CDP, CMS, personalization engine, and analytics into a unified customer intelligence and activation loop across web, mobile, email, and in-store touchpoints.

* Responsible AI in Marketing:
Embed responsible AI principles into all AI marketing advisory: consent architecture, data privacy compliance (GDPR, CCPA), bias in targeting and messaging, transparency in AI-driven decisions, and ethical use of customer data.

Data Strategy & Customer Intelligence

* Customer Data Architecture:
Advise on first-party data strategy in a cookieless, privacy-first world: defining data collection, identity resolution, enrichment, segmentation, and activation architectures that respect consent and maximize data utility.

* Mar Tech Data Integration:
Design integration architectures connecting Mar Tech platforms to enterprise data infrastructure - data warehouses, CDPs, BI layers, and API ecosystems - ensuring clean, unified customer data flows across the stack.

* Measurement & Attribution:
Define marketing measurement frameworks: multi-touch attribution models, incrementality testing, media mix modeling, and AI-assisted analytics to connect marketing investment to business outcomes.

* Data Clean Rooms & Identity:
Guide clients on privacy-safe data collaboration strategies, data clean room architectures, and identity resolution approaches as third-party cookies deprecate and walled gardens grow.

Implementation Governance & Change Management

* Implementation Strategy:
Develop phased implementation roadmaps for Mar Tech platforms, balancing speed-to-value with integration complexity, change capacity, and business priority - including build-buy-partner decisions.

* Program Governance:
Establish governance frameworks for large-scale Mar Tech programs: steering cadences, workstream interdependency management, risk registers, and vendor management protocols.

* Organizational Design & Enablement:
Advise on Mar Tech operating model design - team structures, roles, CoE models, agency vs. in-house decisions - and develop enablement plans that build internal capability alongside platform adoption.

* Change Management:
Lead change management strategies for Mar Tech transformations, ensuring adoption by marketing, digital, IT, and data teams; develop training plans, communication strategies, and success metrics.

Practice Development & Thought Leadership

* Mar Tech Practice IP:
Build and maintain the practice's Mar Tech intellectual capital: platform evaluation frameworks, stack architecture blueprints, AI marketing maturity models, vendor comparison tools, and engagement delivery accelerators.

* Thought Leadership:
Author POVs, case studies, and market perspectives on Mar Tech trends - AI-native marketing, composable stacks, data clean rooms, cookieless futures, agentic marketing - for client and market-facing publication.

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