Martech Consultant - Consulting-New York

Photon•United States,

4h•$58,000 - $203,000•Onsite

About The Position

This role focuses on MarTech strategy, architecture, and implementation, with a strong emphasis on AI-driven marketing and customer data strategy. The consultant will lead engagements to define clients' MarTech vision, rationalize their technology stacks, and guide vendor selection processes. A significant part of the role involves advising on the integration of AI capabilities, including generative AI and agentic AI, into marketing operations. The position also requires expertise in customer data architecture, data integration, measurement, and attribution in a privacy-first world. Additionally, the consultant will be responsible for implementation governance, change management, and contributing to practice development and thought leadership within the MarTech domain.

Requirements

10+ years of professional experience in consulting, marketing technology, or digital marketing roles.
Minimum 5 years in a senior advisory or implementation leadership capacity directly within the MarTech domain.
Demonstrated track record leading complex MarTech engagements — stack strategy, platform selection, implementation governance, and operating model design — for enterprise clients.
Deep hands-on familiarity with two or more tier-1 MarTech platforms (e.g., SFMC, Adobe Experience Cloud, HubSpot Enterprise, Segment, AEM).
Experience working at or alongside CMO/CDO/CTO functions.
Comprehensive knowledge of the modern MarTech ecosystem across customer data, marketing automation, personalization, CMS, analytics, DAM, and eCommerce.
Hands-on experience advising on or implementing AI-driven marketing capabilities: predictive audiences, GenAI content, recommendation engines, AI-assisted journey orchestration.
Working knowledge of customer data architecture: CDPs, identity resolution, first-party data strategy, consent management, data clean rooms, and cookieless marketing approaches.
Fluency with generative AI tools (Claude, ChatGPT, Copilot, Adobe Firefly, Jasper, Writer, or similar).
Familiarity with marketing analytics, attribution modeling, and data visualization tools.
Understanding of API integration patterns, composable architecture, and headless/MACH principles as they apply to MarTech stack design.
Exceptional strategic thinking and structured problem-solving.
Outstanding communication and presentation skills; experienced presenting to and influencing C-suite marketing and technology executives.
Strong business case development capability.
Proven ability to lead and inspire multidisciplinary teams.
Motivated self-starter and continuous learner.
Bachelor's degree in Business, Marketing, Computer Science, or related field required.
Willingness and ability to travel 50%+ to client locations based on engagement requirements.

Nice To Haves

Cross-industry experience preferred; retail, financial services, healthcare, CPG, and/or B2B SaaS exposure particularly valuable.
MBA or relevant postgraduate degree highly preferred.
Relevant certifications valued: Salesforce Marketing Cloud, Adobe Experience Cloud, Google Analytics, HubSpot, CDP Institute, or AI/ML certifications.

Responsibilities

Lead engagements to define clients' MarTech north star, assessing current-state stack maturity, identifying capability gaps, and designing a prioritized technology and operating model roadmap.
Guide clients through MarTech stack audits and consolidation decisions, evaluating platform sprawl, redundancy, integration complexity, and total cost of ownership.
Lead structured vendor evaluation and selection processes for MarTech platforms.
Own the full engagement plan, including scope, milestones, team structure, risk management, client communication, and delivery quality.
Build and sustain relationships with CMOs, VPs of Marketing, CIOs, and Digital leaders.
Advise clients on integrating AI capabilities into their marketing operations.
Lead advisory engagements on GenAI adoption for marketing.
Identify and guide implementation of emerging agentic AI applications in marketing.
Design omnichannel personalization strategies.
Embed responsible AI principles into all AI marketing advisory.
Advise on first-party data strategy in a cookieless, privacy-first world.
Design integration architectures connecting MarTech platforms to enterprise data infrastructure.
Define marketing measurement frameworks.
Guide clients on privacy-safe data collaboration strategies and data clean room architectures.
Develop phased implementation roadmaps for MarTech platforms.
Establish governance frameworks for large-scale MarTech programs.
Advise on MarTech operating model design and develop enablement plans.
Lead change management strategies for MarTech transformations.
Build and maintain the practice's MarTech intellectual capital.
Author POVs, case studies, and market perspectives on MarTech trends.
Partner with business development to shape and pursue MarTech-domain opportunities.
Coach and mentor consultants on MarTech domain knowledge, client engagement techniques, AI tool usage, and platform expertise.