AI-Native MarTech Strategy Consultant

Accenture

Confirmed live today High trust

Quick summary

Work type
On-site
Location
New York, NYMilwaukeeDallas, TXColumbus, OHKirkland, WACincinnati, OHCleveland, OHOklahoma City, OKAustin, TXAlbany, NYChicago, ILSt. Pete, FLHartford, CTPittsburgh, PASt. Louis, MOMiami, FLSacramento, CARaleigh, NCMinneapolis, MNMountain View, CAScottsdale, AZSan Francisco, CAMorristown, NJDenver, COPhiladelphia, PADes Moines, IAOverland Park, KSLos Angeles, CACharlotte, NCWalnut Creek, CACarmel, CASeattle, WAHouston, TXArlington, TXAtlanta, GARedmond, WABentonville, ARBeaverton, ORNashville, TNDetroit, MISan Diego, CA
Salary
$70,350–$196,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $203k
This role $133k
$49k most similar roles pay here $267k

This role pays less than 89% of similar roles. Most pay $159,658–$246,150 — the shaded band above. At the midpoint, this role pays about $133k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 215 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 169 roles with salary data.

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At a glance

TL;DR · AI-Native MarTech Strategy Consultant

As an AI-Native MarTech Strategy Consultant, you will join the team to help enterprise clients reimagine their marketing technology stacks for an AI-first world. You will lead engagements to assess current systems, identify opportunities for transformation across customer data platforms and campaign orchestration, and design architectures integrating generative AI, predictive analytics, and automation into workflows like audience segmentation and attribution modeling. The role involves advising on build-versus-buy decisions, creating technical roadmaps, and managing change with internal and external stakeholders. You will utilize tools such as Salesforce Marketing Cloud, Adobe Experience Platform, HubSpot, Segment, and Braze while leveraging AI/ML applications including recommendation systems and marketing mix modeling. This position solves the challenge of translating complex business goals into practical, scalable technology implementations within the evolving landscape of automated marketing and intelligent data architecture.

What you'll do

  • Assess client martech stacks to identify opportunities for AI-driven transformation across data platforms and campaign orchestration.
  • Design AI-native marketing architectures integrating generative AI, predictive analytics, and automation into client workflows.
  • Advise clients on build-vs-buy decisions regarding the AI and martech vendor landscape.
  • Translate ambiguous business goals into concrete technology roadmaps, governance frameworks, and implementation plans.
  • Partner with client marketing, data, and IT teams to drive adoption and measure ROI of AI initiatives.
  • Develop point-of-view content and methodologies to strengthen the firm's market position in AI and martech.
  • Mentor junior consultants and contribute to internal capability-building regarding AI strategy.

What we're looking for

  • Must have 4+ years of experience in marketing technology, digital strategy, or management consulting.
  • Must have direct experience with MarTech stack design and implementation.
  • Must have hands-on familiarity with AI/ML applications in marketing such as generative AI or predictive analytics.
  • Must possess working knowledge of major MarTech platforms like Salesforce Marketing Cloud, Adobe Experience Platform, HubSpot, Segment, or Braze.
  • Must have strong analytical skills to quantify ROI and develop executive-level recommendations.
  • Must have excellent client-facing communication skills for presenting to senior marketing and technology executives.
  • Experience deploying or evaluating AI agents/agentic workflows in a marketing context (preferred).
  • Background in data architecture, customer data platforms, or consulting at a strategy firm (preferred).

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