Services
Fractional data product manager and data consultant services
Joe Kawa works with hiring organizations as a fractional data product manager and as a data consultant. The work is the same standard either way: a senior operator who can make the business case, sequence the roadmap, and ship analytics customers and executives will use.
Fractional data product manager
Own the analytics roadmap without a full-time hire. Joe sits with your executives, engineering, and GTM teams to set strategy, sequence work, and ship.
As a fractional data product manager, Joe takes accountability for warehouse, reporting, dashboard, and AI analytics outcomes. That includes the business case, the roadmap, cross-functional execution, and the internal narrative so sales and customer success can talk about the product with confidence.
Data consultant
A senior data consultant for B2B SaaS teams that need a clear-eyed assessment, a 90-day plan, or a partner who can still stay through delivery.
Consulting engagements start with how data actually moves through your products and organization — not a slide template. Joe has worked with Fortune 50 companies and with teams of a handful of people, so the recommendation matches your stage, budget, and operating model.
Warehouse and embedded analytics
Snowflake programs, reporting integrations, and in-product dashboards that sales can use and customers will actually open.
Joe has led Snowflake implementation from a $250k executive business case through rollout, released embedded dashboards into four products reaching 100k+ daily active users, and launched a zero-to-one reporting integration that reached 80 customers and a $1M+ pipeline in under nine months.
AI analytics productization
Question-and-answer chat, AI report builders, and data summarization — shipped as product, not as a demo.
Joe strategized and released AI-powered data analytics featuring a Q&A chatbot, an AI report builder, and AI data summarization. That work created $70k in incremental ARR and a pipeline of more than 50 customers — because the models sat on governed metrics, not a pile of untrusted tables.
How an engagement runs
Fractional work is not a staff-aug ticket queue. Joe joins as the data product manager: accountable for outcomes, visible to executives, and specific about what will not get built.
01
Shape
A short discovery on the product suite, warehouse, reporting obligations, and where revenue actually depends on data. You leave with a sequenced plan, not a 40-page assessment.
02
Embed
Typical fractional cadence is 10–20 hours per week over three to six months. Joe joins the operating rhythm: executives, engineering, GTM, and the data team.
03
Leave the system standing
Roadmaps, data contracts, metric definitions, and enablement stay with your team. The point of a fractional data product manager is that the practice continues after the engagement.
Ready to hire a fractional data product manager?
If analytics, warehouse, or data governance is on the executive agenda and you do not have a dedicated data PM, that is the brief. Email a few sentences on the problem.