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JULIAN FIERI DE VITA

DATA PRODUCT LEADER

julianmdevita@gmail.comjulian.fieri-devita.comlinkedin.com/in/julian-devitagithub.com/jmdevitaBoston, MA

Profile

Data product leader with a track record of standing up self-service analytics, governed data foundations, and AI-powered data products across health tech and global retail — turning complex data into products with clear ownership, measurable quality, and engaged consumers.

Work experience

Noom | Product Manager, Data — B2B lead · 2025–present

  • Own strategy, roadmap, and OKRs for the entire B2B data product portfolio — client reporting, governed data feeds, and self-service analytics for hundreds of enterprise clients.
  • Architected the standard client data event feed: the governed foundation every downstream B2B product consumes, with defined ownership and quality standards.
  • Direct 6–8 engineers and set analyst-team priorities, negotiating roadmap trade-offs with VPs across Product, Engineering, and Customer Success.
  • Leading the conversational analytics initiative — data readiness, evaluation frameworks, and human-in-the-loop standards for responsible GenAI delivery.
  • QBR production automated end-to-end, supporting renewals worth millions in ARR.

New Balance | Product Owner, Global Data Platforms · 2023–2025

  • Defined the operating model for global self-service analytics and led the worldwide Power BI rollout — 130+ high-usage reports within six months of go-live.
  • Spearheaded the MADE Innovation Hub in Snowflake, delivering near-real-time manufacturing data while cutting daily BI capacity usage from 40% to under 3%.
  • Partnered with Enterprise Data Governance, Global Finance, and IT to standardize enterprise metric definitions across domains.
  • Self-service capability that reduced reliance on the central data team — with governance, not despite it.

Artera | Product Analyst → PM II, Data Products · 2021–2023

  • Managed end-to-end development of a self-service analytics product for B2B healthcare clients — eliminating recurring performance degradation for sustained zero-downtime months.
  • Automated 400+ user-administration workflows, cutting implementation from 2–3 weeks to same-day and saving $100K in overage fees.
  • Owned data insights for the ChatAssist AI team, building the product dashboard showcased at the HIMSS conference.
  • Mixpanel ETL load time cut from 2.5 hours to 15.6 seconds.