MarTech Strategy VP: Systems & Experience Engineering

Publicis Groupe; Boston (MA); On-site; USD 168,000 - 258,000; Full time

Job summary

Digitas is seeking a Vice President/Group Director, MarTech Strategist to translate AI investments into measurable business value. This consulting role is deployed into client organizations to assess what they have, design what they need, build the case for the investment, and then help their people actually adopt it.

You will work across marketing, technology, data, operations, and experience teams to identify where AI and automation can improve how work gets done, where human judgment matters

Qualifications

• 10+ years of experience in technology strategy or MarTech leadership.
• Experience in an agency, consulting, professional services, or client-facing advisory environment.
• Ability to turn business goals, user needs, workflows, platforms, and constraints into clear product direction, requirements, roadmaps, and delivery-ready briefs.
• Familiarity with MarTech, AdTech, data flows, generative AI, agentic workflows, orchestration, and responsible AI practices.
• Experience developing business cases, value models, adoption plans, and executive-ready recommendations.
• Strong communication, facilitation, presentation, and client engagement skills, especially with senior stakeholders.
• Experience guiding cross-functional teams through discovery, prioritization, planning, and delivery alignment.
• Strong written and visual storytelling skills, including assessments, roadmaps, operating models, workflow maps, and recommendations.

Responsibilities

• Assess client MarTech environments, workflows, data usage, vendor dependencies, and adoption gaps.
• Translate business problems into product opportunities, user requirements, priorities, acceptance criteria, and measurable outcomes.
• Shape future-state solutions with solution architects across MarTech, AdTech, AI agents, integrations, and orchestration layers.
• Create practical roadmaps with clear phases, dependencies, risks, decision points, and value milestones.
• Identify where AI and automation can improve operations, campaign execution, personalization, analytics, measurement, and experience delivery.
• Define what should be automated, assisted, escalated, or kept human-led, with clear decision rights and oversight.
• Evaluate platform capabilities, vendor roadmaps, licensing constraints, data access, permissions, and orchestration options.
• Establish guardrails for privacy, consent, brand safety, auditability, governance, escalation, and model limitations.
• Build business cases, executive recommendations, and vendor evaluation inputs that support clear investment decisions.
• Design operating models and change plans covering roles, governance, communications, training, launch readiness, and post-launch support.
• Identify where resistance to the change is likely to come from and own the plan to address it.
• Coach client teams through new ways of working, with the goal of leaving behind capability rather than dependency.
• Provide strategic oversight across implementation workstreams to keep delivery aligned to outcomes, scope, quality, and adoption goals.
• Partner with delivery, architecture, engineering, QA, infrastructure, and platform teams on requirements, feasibility, sequencing, launch readiness, and roadmap feedback.
• Support new business through discovery framing, capability presentations, RFP responses, scoping inputs, and executive storytelling.

Skills

Technology strategy

Product strategy

MarTech consulting

Digital product leadership

Enterprise marketing tech

Client engagement

Executive communication

Cross-functional leadership

Change management

MarTech/AdTech

Job description

Digitas is seeking a Vice President/Group Director, MarTech Strategist to translate AI investments into measurable business value. This consulting role is deployed into client organizations to assess what they have, design what they need, build the case for the investment, and then help their people actually adopt it.

You will work across marketing, technology, data, operations, and experience teams to identify where AI and automation can improve how work gets done, where human judgment matters