Tejasvin Goyal profile photo 1 on Tal

Tejasvin Goyal

Strategy Consulting for Enterprise AI | Strategy& | IIM Indore | DTU

Bengaluru

4+ years of work experience

Strategy&
May 20265 mosPresent

Fast track promotion to senior associate consultant
Strategy&
Aug 20241 yr 10 mosMay 2026

Bangalore Urban, Karnataka, India

Part of Strategy& US Strategy Consulting for Enterprise AI - Enterprise & Functional Strategy My work has mostly lived at the intersection of commercial strategy and AI — what it means for fintech business models, what it does to growth levers, and where the real transformation is vs. where people are just relabeling things. A few highlights: → $1.4B growth business case for a Fortune 50 CPG. Operating model, supplier selection, OKRs, the whole stack. Got CXO buy-in. → AI marketing platform and GTM rollout across 40+ markets for a global FMCG client — built around agentic workflows and persona architecture. Targeting $1.6B revenue lift. → Agentic commerce and payments strategy for one of the world's largest fintechs. Interesting problem: what changes when the agent initiates the transaction, not the human? → $31M EBITDA transformation for a US sports media company — Sales CoE build, AdTech M&A, org redesign. Best things this role taught me: how to be useful on day one of something you've never done before.
Stealth.ai
Jun 20242 mosJul 2024

India

Jumped into a stealth AI startup building text to games, mid-MBA to see what the inside of new challenges like fundraising, SaaS modelling, organic & paid marketing and AI strategy Learned in multiple arenas - 12+ investor conversations, collaborating pitch deck anchoring GTM strategy and AI product architecture, and designed SaaS financial model projecting ARR, CAC, and runway scenarios
Monitor Deloitte
Apr 20233 mosJun 2023

Bangalore Urban, Karnataka, India

Pre-deal strategy and target screening — 18,000+ companies filtered through a 7-metric evaluation to find 10 worth pitching for strategic expansion. M&A growth levers for an advanced materials client. Sell-side due diligence for a logistics co. in beauty and cosmetics What M&A work teaches you: the difference between a deal that looks good in a model and one that actually works is almost always a people or incentives question. The numbers are usually the easiest part.
Metvy
Jan 20233 mosMar 2023

India

ZS
Jul 20202 yrsJun 2022

Gurugram, Haryana, India

◦ Enterprise Travel & Meeting Reporting (Dev/Ops) - Innovated a one-click system combining Python automation, DQM processes and Reporting on Dataiku DSS automation platform to convert operation taking 40 days into 8 days increasing the efficiency by 80% and saving a process cost of 10000$ each week - Optimized multiple python script to automate complex medical data into KPIs for Ariba and Navigator data using fuzzy logic - Generated a revenue margin for Pfizer with potential increase of 1,000,000$ per annum, by optimizing their estimated meetings budget and creating impactful reporting tools. - Formulated active solutions for problems regarding Transparency data, business monitoring SLAs ,Service Excellency Agreements - Condensed nearly 3 Tb of Pfizer data pertaining to more than 80 countries from 5 different regions into various business rules and metrics and visualized them on intuitive Tableau Dashboards - Created more than 30 data models utilizing tools like Alteryx and Tableau Prep Flow through SQL and Data Analytics. - Storyboarding for key projects such as Ariba, Navigator and Bosulif - Created solutions and tools for projects using product management tools such as Jira, with complete A/B testing and market research ◦ Google Analytics - Market research for more than 120 countries to develop a streamlined data for analysis using extraction tools such as BeautifulSoup. - Formulated operations and functions in Google analytics to generate original metrics for interactive video division. - Created efficient dashboards for Interactive Video data and related Covid data providing a benefit of nearly 72$ per hour for the client.

Tejasvin’s AI Stack

anthropic apis
anthropic apis
claude code
claude code
codex
codex
n8n
n8n
Firecrawl
Firecrawl
Supabase
Supabase

Education

Indian Institute of Management, Indore

MBA, Business Administration and Management, General

Indian Institute of Management, Indore

20222 yrs2024
Delhi College of Engineering

Bachelor of Technology - BTech, Electronics and Communications Engineering

Delhi College of Engineering

20164 yrs2020

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Headline

Strategy Consulting for Enterprise AI | Strategy& | IIM Indore | DTU

About

Over four years across ZS, Strategy& (PwC US), and working with early stage startups - I think I am able structuring ambiguous problems under pressure, building business cases that hold up during execution , designing GTM and growth strategies, and translating AI capabilities into commercial outcomes. Most of my work has been in fintech, payments, consumer, and media space Now I spend most of my time iterating on some interesting challenges: how AI is fundamentally changing value capture — not just operations. New business models, new monetization logic, new distribution dynamics. Happy to talk strategy, AI commercialization, growth, or career paths at the intersection of consulting, tech or any new thing under the sun

Location

Bengaluru

AI stack

anthropic apis

claude code

codex

n8n

Firecrawl

Supabase

Work experience

Senior Associate - Strategy Consultant at Strategy&, May 2026 - Present · 5 mos, Fast track promotion to senior associate consultant

Experienced Associate - Strategy Consultant at Strategy&, Aug 2024 - May 2026 · 1 yr 10 mos, Bangalore Urban, Karnataka, India, Part of Strategy& US Strategy Consulting for Enterprise AI - Enterprise & Functional Strategy My work has mostly lived at the intersection of commercial strategy and AI — what it means for fintech business models, what it does to growth levers, and where the real transformation is vs. where people are just relabeling things. A few highlights: → $1.4B growth business case for a Fortune 50 CPG. Operating model, supplier selection, OKRs, the whole stack. Got CXO buy-in. → AI marketing platform and GTM rollout across 40+ markets for a global FMCG client — built around agentic workflows and persona architecture. Targeting $1.6B revenue lift. → Agentic commerce and payments strategy for one of the world's largest fintechs. Interesting problem: what changes when the agent initiates the transaction, not the human? → $31M EBITDA transformation for a US sports media company — Sales CoE build, AdTech M&A, org redesign. Best things this role taught me: how to be useful on day one of something you've never done before.

Founder’s Office (Investments & AI Strategy) at Stealth.ai, Jun 2024 - Jul 2024 · 2 mos, India, Jumped into a stealth AI startup building text to games, mid-MBA to see what the inside of new challenges like fundraising, SaaS modelling, organic & paid marketing and AI strategy Learned in multiple arenas - 12+ investor conversations, collaborating pitch deck anchoring GTM strategy and AI product architecture, and designed SaaS financial model projecting ARR, CAC, and runway scenarios

Mergers and Acquisition, Strategy at Monitor Deloitte, Apr 2023 - Jun 2023 · 3 mos, Bangalore Urban, Karnataka, India, Pre-deal strategy and target screening — 18,000+ companies filtered through a 7-metric evaluation to find 10 worth pitching for strategic expansion. M&A growth levers for an advanced materials client. Sell-side due diligence for a logistics co. in beauty and cosmetics What M&A work teaches you: the difference between a deal that looks good in a model and one that actually works is almost always a people or incentives question. The numbers are usually the easiest part.

Product Manager (Founder's Office) at Metvy, Jan 2023 - Mar 2023 · 3 mos, India

Business Technology Analyst at ZS, Jul 2020 - Jun 2022 · 2 yrs, Gurugram, Haryana, India, ◦ Enterprise Travel & Meeting Reporting (Dev/Ops) - Innovated a one-click system combining Python automation, DQM processes and Reporting on Dataiku DSS automation platform to convert operation taking 40 days into 8 days increasing the efficiency by 80% and saving a process cost of 10000$ each week - Optimized multiple python script to automate complex medical data into KPIs for Ariba and Navigator data using fuzzy logic - Generated a revenue margin for Pfizer with potential increase of 1,000,000$ per annum, by optimizing their estimated meetings budget and creating impactful reporting tools. - Formulated active solutions for problems regarding Transparency data, business monitoring SLAs ,Service Excellency Agreements - Condensed nearly 3 Tb of Pfizer data pertaining to more than 80 countries from 5 different regions into various business rules and metrics and visualized them on intuitive Tableau Dashboards - Created more than 30 data models utilizing tools like Alteryx and Tableau Prep Flow through SQL and Data Analytics. - Storyboarding for key projects such as Ariba, Navigator and Bosulif - Created solutions and tools for projects using product management tools such as Jira, with complete A/B testing and market research ◦ Google Analytics - Market research for more than 120 countries to develop a streamlined data for analysis using extraction tools such as BeautifulSoup. - Formulated operations and functions in Google analytics to generate original metrics for interactive video division. - Created efficient dashboards for Interactive Video data and related Covid data providing a benefit of nearly 72$ per hour for the client.

Education

MBA, Business Administration and Management, General, Indian Institute of Management, Indore

Bachelor of Technology - BTech, Electronics and Communications Engineering, Delhi College of Engineering