Principal Analytics 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
200+ Stores Onboarded to a POS Product
30% Faster Delivery for Four Channel Teams
12% Return on Ad Spend Lift
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 moved into data at Care Ambulance, where I built patient-care dashboards that increased billable calls accepted by insurance by 45%. From there I moved into product management across point of sale, mobile game advertising, streaming recommendations, 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 own analytics product for Pinnacle, the platform advertisers, publishers and agencies use to see ad quality and measurement. 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 3.87 GPA.

Work Together
Expertise

Where I add
the most value.

Data Pipelines

At Tilting Point, I integrated 30+ ad platform sources through APIs and Kafka, processing over a terabyte of user data daily into an AWS S3 data lake. At DoubleVerify, I migrated Pinnacle Analytics to a data mesh architecture, increasing velocity for four channel teams by 30% on average.

  • Kafka
  • Airflow
  • Snowflake
  • Databricks

Reporting & Analytics

I've built reporting at every scale, from Power BI dashboards at Care Ambulance that raised billable calls accepted by insurance 45% to streaming TV analytics in Pinnacle. The common thread: metrics teams trust enough to act on.

  • Tableau
  • Looker
  • Power BI
  • Snowflake

Product Strategy

At Etail Pet, I scaled a point-of-sale product from 0 to 200+ stores and owned go-to-market. At DoubleVerify, I defined the analytics for Authentic Advantage Plus, a $35M+ target product.

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

Ad Tech & Measurement

At DoubleVerify, I own analytics for Pinnacle across streaming TV, social and programmatic deals. I ran Pre-bid Product Transparency, which finds gaps in pre-bid product coverage (target: $35M upsell).

  • Ad Verification
  • Viewability
  • Brand Suitability
  • Pre-bid

Platform Teams & Leadership

I created Pinnacle Professional Services, a forward-deployed team of 3 engineers and a manager, and wrote its operating model. I also trained 25+ people to write complete PRDs.

  • Operating Models
  • Stakeholder Alignment
  • Training
  • Planning

ML & Experimentation

At Showtime, I specified ALS recommendation models with Bayesian qualifiers and built the A/B testing strategy. At Tilting Point, I guided product for a 6-person data team on an ad-spend attribution pipeline.

  • Recommendations
  • ALS
  • Feature Engineering
  • A/B Testing
Experience

Where I've
been.

2023–Present

Principal Analytics Product Manager

DoubleVerify · New York, NY

Promoted in March 2026 from Senior Product Manager. Pinnacle is DoubleVerify's client-facing analytics platform for advertisers, publishers and agencies.

  • Migrated Pinnacle Analytics to a data mesh architecture, increasing velocity for four channel teams by 30% on average across new integrations and maintenance
  • Created Pinnacle Professional Services, a forward-deployed team of 3 engineers and a manager that moves channel teams onto one unified platform
  • Defined the analytics for Authentic Advantage Plus (AA+), a $35M+ target product, including the logic that hides data for products clients have not bought
  • Ran the Pre-bid Product Transparency initiative, combining settings data with post-bid measurement to identify gaps in pre-bid product coverage. Target: $35M upsell opportunity
  • Launched streaming TV (STV) analytics in Pinnacle, adding about 12 STV quality metrics and a 10-visualization viewability dashboard
  • Shipped a dashboard for Programmatic Guarantee and Private Marketplace deals after a 10 to 15 account beta, redesigning permissioning to allow multiple data-access permissions
  • Owned analytics integrations for ad platforms including Spotify, LinkedIn and Roblox, and created the onboarding template new platforms now follow
  • Took an AI support agent from PRD to production in one week. It triages requests in Slack and Jira
2022–2023

Senior Data Product Manager

Showtime Networks (Paramount) · New York, NY
  • Specified ALS (alternating least squares) recommendation models, with Bayesian qualifiers that handle cold start and business rules
  • Designed the Top 10 ranking to weigh total viewership against viewing velocity over set time windows, keeping recommendations fresh
  • Delivered ML-generated homepage carousels such as Top 10 Series and Top 10 Movies, raising average minutes watched 3% across millions of users
  • Grew the variety of titles watched per user 12% and cut monthly churn 2% through personalized genres and Top 10 carousels
  • Built the A/B testing strategy with Optimizely and Tableau, defining primary and validation metrics and user segments for product decisions
2021–2022

Technical Product Manager

Tilting Point · New York, NY

Promoted from Associate Technical Product Manager.

  • Guided product for a 6-person data team that built an ad-spend and attribution pipeline. It raised return on ad spend 12%
  • Integrated 30+ ad platform sources through APIs and Kafka, processing over 1 TB of user data daily into an AWS S3 data lake
  • Aligned advertising teams and data science on feature engineering that improved the accuracy of ad-spend predictions
2020–2021

Product Manager, Point of Sale

Etail Pet · Santa Monica, CA

Promoted from Integrations Data Manager.

  • Scaled a pet-store point-of-sale product from 0 to 200+ stores across the U.S., owning go-to-market strategy
  • Interviewed customers for B2B discovery, then built partnerships and a prioritization method that aligned sales and customer success
2015–2020

QA Specialist and Data Analyst

Care Ambulance (a Falck company) · Orange, CA

Promoted from EMT to Field Training Officer, then Training Lead, then QA Specialist and Data Analyst.

  • Created patient-care dashboards that increased billable calls accepted by insurance by 45%, improving cost recovery
  • Developed a QA data pipeline from third-party patient care report systems using MySQL, Airflow, Python and Power BI
Education

B.S. Computer Science

Southern New Hampshire University
  • 3.87 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