EY - GDS Consulting -AI Strategy & Go-To-Market

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JOB DESCRIPTION | AI & DATA TECH CONSULTING AI Strategy & Go-To-Market Career Family: AIA – AI Strategy & GTM

• Pursuits, RFPs & Offering Development

LEVEL Senior/Manager Experience 8–12 years LOCATION EY GDS

• Hybrid

ORIENTATION Strategy-led THE OPPORTUNITY

We are seeking a strategic Manager to join our AI & Data Tech Consulting team, focused on shaping how clients adopt Agentic AI and GenAI — and how the firm takes its AI offerings to market. The ideal candidate brings a blend of AI product strategy, solution positioning, and pursuit leadership, with enough technical fluency to credibly translate AI capabilities into business value, without being a hands-on builder.

You will work closely with account leaders, solution architects, C-suite stakeholders, and alliance partners to win and shape AI programs — owning the narrative from opportunity qualification and RFP response through solution storyboarding, commercial framing, and client orals.

WHERE YOUR TIME GOES 40% RFPs, Proposals & Pursuits Win themes, solution storyline, client orals

30% Go-To-Market & Offerings Positioning, enablement collateral, alliances

30% AI Strategy & Advisory Roadmaps, business cases, operating models

Your Key Responsibilities AI Strategy & Value Advisory

■ Partner with client leadership and Operating Partners to define AI / Agentic AI vision, use-case portfolios, and adoption roadmaps.

■ Build use-case prioritization frameworks (value vs. feasibility vs. risk) and translate them into phased roadmaps (discovery → MVP → scale).

■ Develop business cases with ROI, cost-to-serve, and value-realization metrics that leadership can fund against.

■ Frame AI operating models — CoE design, governance, Responsible AI guardrails, and human-in-the-loop controls.

■ Knowledge of business process transformation and industry value chains (Health, FS, Consumer, Industrials) would be an added advantage.

Go-To-Market & Offering Development

■ Shape and package AI offerings, accelerators, and assets into market-ready propositions — positioning, messaging, pricing logic, and differentiation.

■ Build sales enablement collateral: pitch decks, solution one-pagers, executive pagers, demo storylines, case studies, and battle cards.

■ Conduct market, competitive, and analyst research (vendors, hyperscalers, AI-native startups) to inform build / buy / partner decisions and offering roadmaps.

■ Work with alliance partners (Microsoft, AWS, Google, ServiceNow, Salesforce, etc.) on joint GTM motions, co-sell plays, and partner-funded programs.

■ Track adoption and pipeline KPIs for offerings and feed market signals back into the offering roadmap.

RFPs, Proposals & Pursuits

■ Lead end-to-end RFP / RFI / RFQ responses for AI and data programs — bid / no-bid qualification, win themes, solution storyline, and response orchestration.

■ Translate client requirements into a crisp solution narrative, scope, delivery approach, staffing model, and commercial construct, in collaboration with architects and delivery leads.

■ Own proposal quality — compliance matrices, executive summaries, value articulation, risk and assumption logs.

■ Prepare and lead client orals, executive workshops, and proof-of-value storyboards; coach pursuit teams on messaging.

■ Maintain a reusable pursuit library of proposal content, case studies, and credentials.

AI Fluency (Conversational, Not Hands-On)

■ Working understanding of LLMs, RAG, Agentic AI frameworks, AI evaluation & observability, and LLMOps — enough to engage architects and challenge solutions credibly.

■ Awareness of AI risk, regulation, and governance (EU AI Act, NIST AI RMF, ISO 42001) and how they shape client buying decisions.

■ Familiarity with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI) and enterprise data platforms (Databricks, Snowflake) at a solution level.

■ Comfort with AI productivity tools to accelerate …