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AI Search and Digital Content Experience Consultant - Client SolutionsIBM Computing • Dallas, Texas, United States
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AI Search and Digital Content Experience Consultant - Client Solutions

IBM Computing
  • US
    Dallas, Texas, United States
  • US
    Dallas, Texas, United States
Jetzt Bewerben

Über

Introduction A career in IBM Consulting is built on long‑term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.
Your role and responsibilities We are looking for experienced Consultants to join our growing AI Search & Digital Experience practice. This is a hybrid delivery + client solutions role, where you will lead client engagements while also supporting business growth activities including solution shaping, demos, and deal progression.
You will act as a trusted advisor and client partner, helping enterprise organizations transform their digital presence for AI‑driven search—while also playing a key role in articulating value, influencing stakeholders, and supporting successful deal closure.
AI Search Strategy & Content Advisory
Consult with clients to assess their current digital and content footprint against AI search engines (e.g., Google AI Overviews, Perplexity, ChatGPT Search)
Design content strategies optimized for AI retrieval, including answer‑layer optimization, topic authority, and semantic structuring
Build content frameworks and scalable playbooks aligned to business outcomes
Site Architecture, Data Structuring & Agent Readiness
Evaluate and redesign site architectures for AI agent crawling and retrieval
Define content hierarchies, internal linking, and scalable URL models
Implement structured data systems (JSON‑LD, Schema.org, entity models)
Advise on CMS data modeling, metadata, and knowledge graph strategies
Configure sitemaps and indexation for optimal AI accessibility
Analytics, Measurement & Insight Generation
Design AI search performance frameworks beyond traditional SEO metrics
Define KPIs across AI visibility, citations, and revenue impact
Leverage GA4, Google Search Console, and emerging AI analytics tools
Translate analytics into executive‑level insights and recommendations
Client Engagement, Growth & Solutioning
Own and grow client relationships across mid‑market and enterprise accounts
Act as a strategic partner, identifying expansion opportunities within existing engagements
Support presales activities, including:
Leading client demos and solution walk‑throughs
Contributing to proposals, solution design, and scope definition
Partnering with sales teams to articulate value and differentiate offerings
Help progress and influence deals, providing subject matter expertise that supports closure (non‑quota carrying)
Develop high‑quality client deliverables (audits, roadmaps, frameworks, playbooks)
Why this Role is Different This role blends deep delivery expertise with client growth impact:
You remain a hands‑on consultant, delivering high‑quality work
You play a visible role in shaping and winning business
You operate as a trusted advisor who influences both outcomes and opportunities
This role can be performed from anywhere in the U.S.
Required technical and professional expertise
10+ years of experience in digital marketing, SEO, content strategy, or consulting
AI Search Expertise: Understanding of LLM‑based search retrieval and ranking
Content Strategy for AI: Designing architectures optimized for AI discoverability
Technical SEO & Site Architecture: Strong knowledge of Core Web Vitals, crawl/indexation, and large‑scale site structures
Structured Data & Entity Models: Hands‑on experience with JSON‑LD, Schema.org, taxonomies, and knowledge graphs
Analytics & Measurement: Building frameworks for AI search performance
AI Marketing Tools: Familiarity with enterprise AI content platforms and governance
Client Communication: Ability to translate technical concepts to executive audiences
Consulting Delivery: Experience leading complex, multi‑workstream engagements
Client Management & Influence: Strong ability to build relationships, manage stakeholders, and drive outcomes
Presales & Solutioning: Experience supporting proposals, delivering demos, and articulating solution value
Preferred technical and professional experience
Consulting experience in a management consulting firm, digital agency, or MarTech consultancy
Experience supporting sales cycles or solution engineering efforts
Familiarity with Agentic AI and Model Context Protocol (MCP)
Experience with GA4, GSC, and emerging AI analytics tools
Experience with CMS platforms such as Adobe Experience Manager
Knowledge of digital PR, authority‑building, and earned media strategies
Knowledge graph and entity SEO experience (e.g., Wikidata, Knowledge Panels)
Change management experience in AI‑led transformations
IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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  • Dallas, Texas, United States

Sprachkenntnisse

  • English
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