About

I work where business priorities meet technology execution.

My path runs from data engineering, through AI and solution analysis, to IT business partnering in strategy and architecture. One question runs through all of it: how does this technology decision help the people who asked for it?

Portrait of Rafii Priadji in a dark suit and blue patterned tie, with arms crossed, in an office.

Journey

From data engineering to business partnering

Select a stage to see the perspective it gave me.

IT Business Partner

Perspective gained

Technology decisions need a business owner and an honest trade-off.

Today I connect business priorities with architecture and delivery, keeping decisions governed and outcomes measurable.

Types of problems

  • Business and technology alignment
  • Architecture options, risks and roadmaps
  • Delivery coordination across teams

Related work

Principles

How I make decisions

  1. Start with the decision.

    Work backwards from what someone has to decide.

  2. Make trade-offs visible.

    Every option costs something. Write it down early.

  3. Design for the maintainer.

    A new team member should be able to run and change it.

  4. Govern as you deliver.

    Ownership and auditability built in beat controls bolted on.

  5. Separate known from assumed.

    Say which parts are verified and which are still hypotheses.

Capabilities

Technical and strategic range

Technical

  • Data engineering and platforms
  • Analytics and BI
  • AI solution analysis
  • Cloud data architecture
  • Pipeline orchestration and data quality

Strategic

  • IT business partnering
  • IT strategy and architecture
  • Enterprise data governance
  • Stakeholder coordination
  • Delivery alignment

Working on something between business and technology?

I would like to hear the problem, not only the proposed solution.