Senior Analyst- AI GTM

Evalueserve is a global leader in managed services that empower smarter decision-making and streamline critical workflows for more than 30% of the Fortune 500 companies across 45 countries. With over 4, 500 professionals worldwide, our solutions are grounded in deep domain expertise and enhanced by cutting edge AI and automation to boost productivity and scale client impact. Over the last 25 years, we have helped clients transform how they work and today we are pushing the frontier further with generative and agentic AI. We foster a merit-based and innovative-driven culture that encourages creativity, continuous learning, and professional growth. Our hybrid working model provides international exposure and flexibility. Evalueserve has been recognized as a Great Place to Work across four continents and ranks among the top 5% of global companies for diversity alongside numerous awards across its solution lines.

Recent Awards and Recognitions

AIM Research 2025: Top 10 of the 20 Best Firms for Women in Tech

Forrester Wave 2024: Leader in Market & Competitive Intelligence Platforms

Chartis Research 2024: Category Leader in Credit Portfolio Management

Credit Strategy Lending Awards 2024: Winner, Best Technology Partner

Banking Tech Awards 2024: Highly Commended, Best LendTech

About Insights & Advisory (IA)

Our Insights and Advisory team play a crucial role in providing strategic guidance and data-driven insights to organizations. By analyzing market trends, consumer behavior, and business data, our team helps decision-makers make informed choices that can positively impact their organization's performance and bottom line. We work across diverse industries and sectors like Technology, Industrials, Energy, Chemicals, Life Sciences and Logistics, including market research, strategy, sales and marketing, R & D, and more.

Designation: Senior Analyst

Role: GenAI & Agentic AI (Manufacturing GTM)

Location : Gurugram, India (Hybrid Operating Model)

Job Summary

We are hiring a Senior Analyst (46 years) to help drive our AI-enabled go-to-market strategy for the Manufacturing practice (Energy, Automotive, Industrials, Chemicals etc.). This role sits at the intersection of consulting workflows, AI solution design, and commercialization.

Y ou will work directly with senior business leaders to:

Identify high-value use cases across research, market intelligence, commercial excellence, and strategy

Translate them into repeatable AI-enabled solution packages (workflows, assets, demos, storyboards, ROI narrative)

Build and improve agentic AI / GenAI workflows using a mix of low-code/no-code and light coding

Support adoption internally (enablement) and externally (client conversations, demos, proposals).This is not a pure engineering role.

This is not a pure engineering role. You are expected to be a solution operator and product-thinking analystsomeone who can move from ambiguity to an executable GTM asset quickly.

What Success Looks Like (First 36 Months);

Build a prioritized pipeline of AI-enabled Manufacturing GTM use cases with clear business value, buyer persona, and packaging plan

Convert at least 35 existing traditional offerings into AI-elevated versions (agentic workflows + demonarrative + collateral)

Stand up stable, reusable agent workflows/accelerators that can be repurposed across accounts

Produce client-ready assets: one-pagers, POVs, demo scripts, sample outputs, and proposal modules

Establish a lightweight governance approach to: quality, hallucination control, source traceability, and workflow reliability

Key Responsibilities

1) Manufacturing AI GTM & Use Case Ownership

Partner with practice leaders to identify and shape high-value, sellable use cases (e.g., commercial excellence, CI, strategy radar, RFP enablement, competitor tracking, market landscaping).

Convert ambiguous requirements into clear solution definitions: scope, inputs, outputs, workflow steps, assumptions, limitations, and value story.

Build and maintain a use case backlog with prioritization criteria (market demand, effort-to-build,

differentiation, monetization potential).

2) AI Solution Design (Agentic + GenAI )

Design and implement agentic AI workflows (multi-step reasoning, tool use, retrieval, structured output, validation loops)

Decide when a problem needs:

a) P rompt + retrieval ( GenAI ),

b) multi-agent/tool orchestration (agentic), or

c) automation + templates (workflow-first).

Translate existing consulting/research workflows into repeatable, scalable AI-assisted processes (not one off prompts).

3) Workflow Automation & Platforms

Build automation using a mix of low-code/no-code tools and light coding where required (Python/JS basics for parsing, data shaping, QA checks).

Work with structured outputs and integrations: JSON/CSV/Markdown/HTML, basic APIs, and connectors.

Support deployment readiness: workflow documentation, versioning, prompts library, evaluation checklist, and maintenance playbooks.

4) Research & Intelligence Transformation

Automate and improve research workflows such as:

a) Secondary research and synthesis

b) Competitive intelligence (profiles, moves tracking, event/conference notes structuring)

c) RFP intelligence / response acceleration

d) Market sizing inputs and structured dataset creation (where relevant)

Ensure outputs are decision-grade: traceable, structured, and tailored to executive consumption (PPT ready narratives, crisp insight hierarchy).

5) Quality, Reliability & Governance

Implement guardrails to reduce hallucinations and improve reliability:

a) Source grounding, citation discipline, consistency checks, validation prompts, human-in-the-loop review points

Debug workflow failures and continuously improve response quality, speed, and cost.

6) Stakeholder Management & Enablement

Act as a bridge between business leaders, consultants, analysts, and technical teams.

Lead internal enablement: short trainings, how-to guides, prompt/workflow best practices, demo rehearsals.

Drive execution independentlycoordinate stakeholders, track actions, and close loops without needing continuous supervision.

Required Qualifications (Must-Have)

3 6 years' experience in market research / consulting / competitive intelligence / analytics, with strong problem structuring.

Demonstrated hands-on experience with GenAI tools and agentic workflows, including:

a) LLM prompting and prompt chaining

b) Retrieval-based research workflows (RAG-like patterns)

c) Multi-step automation and structured output generation

Strong ability to work with structured formats (JSON/CSV) and convert messy inputs into usable outputs

Comfort using a mix of low-code/no-code tools plus basic coding for workflow support (e.g., Python for parsing/cleaning; lightweight scripts)

Strong written communication: ability to create GTM assets (one-pagers, POV notes, demo scripts, playbooks) that sound executive-ready.

Ability to manage ambiguity, drive independently, and coordinate across multiple stakeholders.

Preferred Qualifications (Nice-to-Have)

Exposure to manufacturing domains (Automotive, Industrials, batteries/energy, Tier-1/Tier-2 ecosystem).

Familiarity with common AI workflow patterns: evaluators, tool calls, agents, retries, schema validation, grounding techniques.

Experience in creating client-facing artifacts: sample outputs, dashboards, insight packs, battlecards, proposal modules.

Prior experience with internal automation/knowledge platforms, data extraction pipelines, or research automation initiatives.

Tools & Working Knowledge (Indicative)

LLM tools: ChatGPT Enterprise, Gemini, and other enterprise-grade GenAI tools

Workflow/automation: low-code/no-code orchestration tools; prompt libraries; evaluation templates

Data handling: Excel/Sheets, CSV/JSON, basic Python for parsing/formatting, PDF extraction/OCR utilities

Output formats: Markdown/HTML for structured rendering; PPT-friendly narrative structuring

Role Profile: What Were Specifically Looking For

This role is ideal for someone who combines:

Consulting-grade structuring

Hands-on GenAI /agent workflow building

GTM thinking and commercialization mindset

High ownership and cross-functional coordination

You are not expected to be a full-stack developer. You are expected to be a builder-operator who can turn a use case into something we can confidently sell and deliver.

Disclaimer : The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Please Note : We appreciate the accuracy and authenticity of the information you provide, as it plays a key role in your candidacy. As part of the Background Verification Process, we may verify your employment, education, and other details. Please ensure all information is factual and submitted on time.

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