CX + AI Strategy Lead - E
Indexed description
What You Will Own
Business development & revenue
- Book of business. Personally own and grow an annual revenue target across new logos and existing accounts; build a pipeline that runs 3–4x coverage.
- Rainmaking. Open doors at CXO level across industries; convert boardroom conversations into signed statements of work.
- Proposals & pricing. Lead high-stakes pursuits end-to-end and shape the story, price the risk, negotiate commercials, close.
- Account expansion. Turn first engagements into multi-year transformation programs; farm 2–3 marquee accounts into 8-figure relationships.
- Partnerships. Build alliances with hyperscalers, foundation-model providers and platform players to unlock joint go-to-market.
- Offer design. Productise our CX + AI plays agentic CX offerings, GenAI-powered service journeys, AI-native personalisation, employee copilots, trust & responsible-AI advisory and more
- Point of view. Publish the practice's POV on where CX is going in an AI-native world; represent frog at industry stages, analyst briefings and CXO roundtables.
- 15–20 years total, with 10+ in top-tier CX / experience consulting, design consultancies (IDEO, McKinsey Design, Accenture Song, Deloitte Digital, BCG X or equivalent) or the digital transformation arm of a Big 4 / MBB.
- Demonstrable track record of personally originating and closing INR 20 Cr+ (USD 2.5M+) of consulting revenue in a year.
- Deep client relationships at CXO / CMO / CDO / CIO level in at least two of: BFSI, manufacturing, retail & consumer, healthcare, telecom, travel & hospitality, or public sector.
- Has led end-to-end transformation programs.
- Fluent in the current GenAI stack: foundation models, RAG, fine-tuning, vector stores, evaluation and guardrails; can hold a credible conversation with a Chief AI Officer without a translator.
- Has designed or shipped agentic systems in a customer-facing context, conversational agents, service copilots, autonomous workflows — and understands where they break.
- Opinionated about the CX implications of AI: journey redesign around agents, human-in-the-loop patterns, trust and disclosure, model risk and responsible-AI governance.
- Comfortable pressure-testing an ML roadmap, a data strategy, or an MLOps proposal from a client's engineering team.
- Strong grounding in experience strategy, service design and human-centred research; can critique a journey map or a service blueprint at a glance.
- Numerate on the business side like unit economics, cost-to-serve, customer LTV, pricing and can defend an ROI model to a CFO.
- Excellent writer and speaker; builds arguments the room actually remembers.
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