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AI Strategist - Senior Director

Job in Seattle, King County, Washington, 98127, USA
Listing for: Cognizant
Full Time position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    Business Development, AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

About the Role

The AI Strategist plays a pivotal role in shaping Cognizant’s AI portfolio by designing high impact AI use cases, building compelling value propositions, and enabling early‑stage client engagement. Sitting at the intersection of business design, AI capability, and industry needs, this role transforms opportunity spaces into structured, scalable, commercially strong AI offerings that drive growth for the AI Market Unit.

Key Responsibilities 1. AI Offering & Use Case Design
  • Own conceptual and architectural design for prioritized AI use cases and offerings.
  • Translate business problems, industry signals, and AI capabilities into structured solution blueprints.
  • Develop narratives, workflows, and design artifacts that illustrate the “art of the possible” and competitive differentiation.
2. Value Proposition Development & Collateral Creation
  • Build business value frameworks, impact models, and client-ready point of view documents of‑view documents.
  • Create reusable offering assets including pitch decks, one-pagers, POVs, demo scripts, and solution differentiators.
  • Align offerings with market demand, competitive insights, and Cognizant’s internal capability landscape.
3. Client & Internal Engagement
  • Partner with clients, sales teams, ISLs, consulting, and pre‑sales in early discovery phases.
  • Lead ideation sessions and offer walkthroughs to surface use cases and refine solution approaches.
  • Support pursuit teams with value narratives, offering insights, and strategic justification for AI‑led transformation programs.
Decision Rights Owns
  • Contribution to the AI offering portfolio strategy—prioritization, roadmap, and investment inputs.
  • Offering qualification and readiness criteria for GTM launch.
  • Approval of pricing models, ROI frameworks, and sales kits used across pursuits.
  • Accountability for offering lifecycle performance (revenue, adoption, renewals).
Influences
  • GTM and market positioning for AI offerings.
  • Field enablement through playbooks, kits, and value selling tools.
  • Engineering decisions to ensure offerings are scalable and deployment ready.
Key Performance Indicators
  • Number of new AI offerings developed.
  • Offering attach rate across accounts.
  • Total contract value (TCV) driven by AI offerings.
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Position Requirements
10+ Years work experience
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