Principal Data Product Manager

David Starr Roberts

I build the data products that measure what matters,
at the scale where precision determines spend.

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David Starr Roberts
10+ Years Experience
100+ Platform Integrations Shipped
1000+ TBs of Data Processed
About

Building the infrastructure
behind data-driven decisions.

My path into data didn't start in a tech company. I spent five years as an EMT, where I learned quickly that in high-stakes environments, the difference between a good decision and a bad one comes down to having the right information at the right time. That instinct, bringing order from chaos so people can act with confidence, is what I've carried into every data product I've built since.

I transitioned into data analysis at Care Ambulance, where I built the reporting infrastructure that translated field operations data into the KPI visibility that drove a 32% increase in billable transports. From there I moved into product management across e-commerce, mobile gaming, streaming, and ad tech. Each industry was a different version of the same problem: raw, noisy data that needs to become a decision.

Today at DoubleVerify, I lead analytics product expansion for measurement and verification across major platforms including Spotify, LinkedIn, Roblox, and Snapchat. I write SQL daily, work in Python for data exploration, and can read production PySpark and Scala. That technical depth lets me work as a peer with the engineers and data scientists I partner with.

I hold a B.S. in Computer Science from Southern New Hampshire University, where I graduated Magna Cum Laude with a 3.8 GPA.

Work Together
Expertise

Where I add
the most value.

Data Pipelines

At Tilting Point, I designed an Airflow-scheduled pipeline integrating 30+ data sources via APIs and Kafka, processing over a terabyte of user data daily into an AWS S3 data lake on Databricks. At DoubleVerify, I led the migration to a data mesh architecture on Snowflake and Looker, cutting delivery time by 30%+.

  • Kafka
  • Airflow
  • Snowflake
  • Databricks

Reporting & Analytics

I've built reporting systems at every scale, from Power BI dashboards on a MySQL database that drove a 32% increase in billable transports to Looker-based self-serve analytics for enterprise ad measurement. The common thread: metrics teams trust enough to act on.

  • Tableau
  • Looker
  • Power BI
  • Snowflake

Product Strategy

At Etail Pet, I led go-to-market for a B2B POS system from zero to 200+ stores through targeted partnerships and customer research. At DoubleVerify, I define the roadmap for measurement expansion across major platform partners, balancing partner complexity against business priorities.

  • Roadmapping
  • Go-to-Market
  • Competitive Analysis
  • OKRs

Ad Tech & Measurement

At DoubleVerify, I lead expansion of Pinnacle, a post-bid measurement product, across streaming and social platforms. Measurement coverage now spans Spotify, LinkedIn, Roblox, Instacart, Reddit, and Snapchat, bringing viewability, fraud detection, and brand suitability to each integration.

  • Ad Verification
  • Viewability
  • Fraud Detection
  • Brand Suitability

Cross-functional Leadership

At Showtime, I led A/B testing strategy across the product organization using Optimizely and Tableau, aligning engineering, data science, and product around shared metrics. At Tilting Point, I aligned advertising and data teams around a shared ML prediction pipeline, cutting through competing priorities to ship a coherent product.

  • Agile
  • Stakeholder Management
  • A/B Testing
  • OKRs

ML & Experimentation

At Showtime, I led prioritization for ML-generated recommendation carousels that raised average watch time by 3% across 4M+ streaming subscribers. At Tilting Point, I oversaw feature engineering for an ad spend prediction pipeline that improved placement accuracy by combining multiple modeling techniques.

  • ML Products
  • Recommendations
  • Feature Engineering
  • Experimentation
Experience

Where I've
been.

2023–Present

Principal Product Manager, Analytics

DoubleVerify · New York, NY

Lead analytics product expansion for measurement and verification across major platform partners including Spotify, LinkedIn, Roblox, Instacart, Reddit, and Snapchat, all through DV's flagship post-bid measurement product, Pinnacle. Partner with a dedicated team of 8 engineers and coordinate across product, legal, sales, and commercial teams to extend viewability, fraud detection, and brand suitability coverage across each integration.

  • Migrated a complex data ecosystem to a data mesh architecture with contract-based deployment on Snowflake and Looker, reducing delivery time by 30%+ and enabling faster rollout across new platform partners
  • Secured executive approval to expand into streaming by demonstrating measurement value through a working programmatic analytics prototype
2022–2023

Senior Data Product Manager

Showtime Networks · New York, NY

Led the strategy for ML-generated recommendation carousels, including "Top 10 Series" and "Top 10 Movies", on Showtime's streaming homepage, raising average watch time by 3% across 4M+ streaming subscribers.

  • Designed cross-functional A/B testing strategy using Optimizely and Tableau, defining primary metrics, validation metrics, and user segmentation
  • Established shared experimentation standards across the product organization, covering metric selection, test design, and result interpretation
2021–2022

Technical Product Manager

Tilting Point · New York, NY

Aligned advertising teams and data engineers around a shared goal: an ML-powered ad spend prediction pipeline that improved ad placement accuracy through rigorous feature engineering, increasing ROAS and reducing wasted ad spend.

  • Managed integration of 30+ data sources via APIs and Kafka stream processing, handling over 1TB of user data daily
  • Designed an Airflow-scheduled pipeline using Scala, Python/PySpark, and SQL, landing in an AWS S3 data lake accessible via Databricks
2020–2021

Product Manager

Etail Pet · Santa Monica, CA

Led the go-to-market strategy for a pet-oriented point-of-sale system, growing adoption from zero to 200+ retail locations. Built product-market fit through hands-on B2B discovery: user interviews, competitive analysis, and partnership development before scaling distribution.

  • Grew from 0 to 200+ stores through targeted partnerships and direct customer research
  • Established product-market fit that enabled rapid distribution growth
2015–2020

Data Analyst · QA-QI Specialist

Care Ambulance · Orange, CA

Built batch-processed Power BI dashboards from a MySQL database to track employee KPIs across field operations. The resulting visibility into performance drove a 32% increase in billable transports.

  • Built Power BI reporting infrastructure from scratch on a MySQL backend
  • 32% increase in billable transports through KPI-driven accountability
Education

B.S. Computer Science

Southern New Hampshire University
  • 3.8 GPA · Magna Cum Laude · 8 Semester Honor Roll
Contact

Let's build
something meaningful.

Whether you're looking to collaborate, explore a new opportunity, or just talk data, I'd love to hear from you.

davidstarrroberts@gmail.com linkedin.com/in/david-roberts-76663a160