Nikhil Sharma
Manager, TMT intelligence · Pune, India
Ten years spent embedded inside client problems rather than observing them from the outside, turning ambiguous executive briefs into decisions leadership can act on.
I lead multi-client research and advisory delivery at Netscribes, owning scoping, staffing, budgets and client relationships across concurrent market assessment, go-to-market and competitive intelligence engagements. I stay hands-on lead on the analytically heaviest projects, and direct a working team of six to eight analysts across parallel work.
Before that I ran an embedded intelligence team inside a global industrial group's own market intelligence function, across compressors, filtration and data-centre infrastructure. I started in telecom, forecasting operator movements across MEA and then South-East Asia and India, and learning to defend a number to the people making bets on it. In between I led emerging-technology research on generative AI and synthetic data, and began rebuilding research itself around AI.
The through-line is judgment under ambiguity. Stakeholders rarely arrive with a clean question, so the job is to reframe the real one, direct a team and an AI-augmented method against it, and come back with a decision they can act on, their instinct validated or a better path found.
10
years in the discipline
3
sectors covered
$500k
advisory research delivered
100%
account growth in two years
Selected work
Global industrial group, medical filtration sub-brand
Competitive gaps that reshaped a five-year product roadmap
Unmapped competitive gaps and product announcement clusters fed directly into the engineering team's five-year roadmap.
Global industrial group, data-centre infrastructure
Target-market priorities for a data-centre go-to-market launch
Supply-landscape and demand-signal analysis set the launch priorities; delivery secured a follow-on across drone manufacturing and defence in the US and Europe.
Global data and analytics firm, emerging technology practice
Rebuilding how the research got made, not just what it said
An AI-assisted workflow cut per-report turnaround by 20 per cent, roughly five days on a 25-day cycle.
Career
- 2024—Manager, TMT intelligenceNetscribes
- 2023—2024Senior analyst, disruptive techGlobalData
- 2021—2022Founder and operatorIndependent restaurant venture
- 2016—2021Analyst to senior analyst, telecomSG Analytics, embedded with Omdia
Education
- MBA, International Business and Marketing, Symbiosis Institute of International Business, 2016
- BE, Computer Science, Panjab University, 2013
- Lean Six Sigma Green Belt
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