Data in Bloom Strategies

What We Do

Flexible engagements designed for the complexity of regulated, multi-market operations.

Fractional Head of Data / AI

Typical: 3–6 month retainer

Executive-level data and AI leadership without the overhead of a full-time hire. Org design, roadmap ownership, stakeholder alignment, and hands-on execution. Embedded in your team, not advising from the sidelines.

Learn more about Fractional Head of Data / AI

  • Org design & team building
  • Data roadmap development
  • Stakeholder & executive communication
  • Hands-on execution alongside your team

Data Build & Engineering

Typical: Project-based

Full-stack data infrastructure builds: ingestion through BI, using modern tools like dbt, Snowflake, and Airbyte. Designed for operability. Your team owns it when the engagement ends, not a consultant's black box.

Learn more about Data Build & Engineering

  • Data ingestion pipelines (Airbyte, custom)
  • dbt transformation layer
  • Snowflake data warehouse setup
  • BI tooling (Omni, Hex, Looker)

AI Projects & Assessments

Typical: Project-based or advisory

Applied AI for operators dealing with real complexity. LLM assessment and tool selection, agentic pipeline development, and internal AI deployment. Build-oriented and pragmatic; no slide decks masquerading as strategy.

Learn more about AI Projects & Assessments

  • LLM evaluation & vendor selection
  • Agentic pipeline development
  • Internal AI tool deployment
  • AI readiness assessments

Strategy & Advisory

Typical: Advisory retainer or project

Strategic advisory for operators who've outgrown their current data approach. Org design, technology roadmapping, and AI readiness delivered as board-ready materials with clear sequencing and honest trade-offs.

Learn more about Strategy & Advisory

  • Data strategy documents
  • Technology selection & vendor evaluation
  • Org design recommendations
  • Executive & board presentations

Ready to Build Something?

Let's explore the right engagement for your team.

Book a Call