Data Product Manager

Tushar Sharma

I turn product data into the metrics, tools, and roadmap decisions teams ship on.

Currently exploring senior Product, Data Product, and Analytics Engineering roles.

Tushar Sharma
Seattle, WA ttsharma018@gmail.com LinkedIn Résumé ↓
Supio
100%
PM adoption of the tool I shipped
Every product manager at Supio uses the AI intelligence tool I scoped and shipped.
AWS
$82M
unmanaged revenue surfaced
AWS customer-mapping dashboard exposed spend that had no account owner.
Supio
<5 min
from question to insight
AI-native semantic layer at Supio replaced 24-hour analyst Q&A across Sales, CS, RevOps, Ops, and Product.
Supio
$32M
annual revenue supported
Billing infrastructure I product-managed runs invoicing end to end on a third-party metering platform.

About

I'm a data product manager who came up through data engineering and product analytics, so I scope products knowing exactly what the data can and can't do. As the founding data hire at Supio, I built the company's analytics foundation from scratch, then used it to shape the product roadmap, including an AI tool every PM there now relies on. I work across product, engineering, finance, and revenue, turning raw data into decisions teams act on.

Selected Projects

Instrumentation, then Experimentation

Engagement metrics were everywhere; the metric tying product output to customer revenue wasn't tracked. The loop I run: find what's missing, instrument it, diagnose friction via user research, ship a scoped experiment. Marquee was a 2-week UX fix (no new models) that lifted the metric 58%, doubled downstream engagement, and halved cycle time. It became the company's north star.

Instrumentation A/B Experimentation Decision Quality
North-star metric
Baseline 100
After Marquee 158

AI-Native Semantic Layer

Operational data was locked behind a 24-hour analyst queue; new reports took days. I owned an AI-native semantic layer end to end: dbt marts plus YAML specs on DuckDB, served through an MCP server and queried in the Claude desktop app. Drove adoption across Sales, Customer Success, RevOps, Operations, and Product. Insight time collapsed from 24 hours to minutes, and two analyst hires per business function were avoided.

AI-Native Architecture Semantic Layer Self-Serve
Time from question to insight
BI + analyst queue 100
Semantic layer + Claude 2

PM Intelligence Tool

PMs had no direct line to customer intelligence scattered across Gong, Slack, Notion, and Intercom. I scoped and shipped an AI tool that surfaces it, with agents for signal detection, analysis, and PRD generation. Adopted by every PM, it cut customer-research time roughly 60% and PRD drafting from hours to minutes.

0→1 Product AI Agents Adoption
Customer-research time
Before 100
After 40

Investment Qualification Platform

AWS needed a defensible way to choose which startups to back with credits. I owned the scoring framework behind that call, integrating PitchBook, Crunchbase, CBInsights, and Dealroom to score funding, GTM signals, and market fit. Scoring and segmentation models raised program efficiency 30%.

Product Strategy GTM Signals Analytics
Program efficiency
Baseline 100
After scoring model 130

Billing & Revenue Infrastructure

Revenue recognition ran on manual, error-prone effort. I led an internal billing automation tool, built on HubSpot, AWS Glue, and Mode, that generates invoices end to end and cut manual work 75%. When it moved onto a third-party metering platform, I was the product manager: conveying requirements to the vendor and owning testing. It now supports $32M in annual revenue.

Revenue Ops Vendor Management Product Management
Manual effort per invoice run
Before 100
After 25

Semantic Layer & Self-Serve Analytics

Teams pulled conflicting numbers and flooded analysts with ad-hoc requests. I standardized 40+ KPIs across Salesforce, billing, and external data into one semantic layer of business-ready entities anyone can self-serve, cutting ad-hoc reporting 35%.

Self-Serve KPI Strategy Enablement
Ad-hoc reporting volume
Before 100
After 65

Experience

Supio

Sep 2024 – Present

Data Product Manager (Founding)

  • Founding data hire. Built the analytics function from scratch: dbt marts, a YAML semantic layer on DuckDB, and an AI-native Q&A platform adopted across Sales, CS, RevOps, Ops, and Product.
  • Shipped a PM Intelligence Tool every PM uses daily, and ran the instrumentation-to-experimentation loop behind the company's north-star metric.
  • Owned measurement for the human-in-the-loop annotation pipeline (including fraud detection on vendor invoicing), and led billing infrastructure now supporting $32M in annual revenue.

Amazon Web Services

May 2020 – Jun 2024

Product Manager, Analytics

  • Built a startup-scoring platform integrating PitchBook, Crunchbase, CBInsights, and Dealroom; scoring and segmentation models raised credit-investment program efficiency 30%.
  • Resolved a three-way definition dispute between WW Sales, Segment, and Startup Operations through a 6-pager and SVP sign-off; standardized datasets surfaced $82M in unmanaged revenue.
  • Built and governed a 40+ KPI semantic layer that unified contested definitions across Finance, GTM, and Operations, reducing ad-hoc reporting 35%.

Perficient Inc.

Aug 2019 – Apr 2020

Data Engineer

  • Optimized healthcare data pipelines with SQL, Python, and shell scripting, improving operational efficiency 20%.
  • Rebuilt data models using Kimball dimensional techniques, cutting processing errors 25% and securing compliance approval.

ADL Group

Sep 2016 – Jul 2017

Business Intelligence Analyst

  • Optimized T-SQL stored procedures and built Tableau dashboards tracking business KPIs, improving query performance 30%.

Skills

Product

Product roadmapping & discovery A/B testing KPI & metric definition Stakeholder alignment PRDs & 6-pagers Funnel & retention analysis

Data, Programming & Cloud

Python Shell Scripting (Unix, Bash) PySpark SQL Server PostgreSQL MySQL dbt Airflow Databricks Snowflake DuckDB RDS AWS GCP Azure GitHub Claude Code

BI, Product Analytics & AI

Tableau QuickSight Power BI Looker Mode Hex Sigma Fullstory PostHog Excel

Education

Syracuse University

M.S., Information Management · GPA 3.79 / 4.0

2017 – 2019

University of Mumbai

B.E., Computer Engineering · GPA 3.75 / 4.0

2013 – 2016