flipsidecrypto - Enterprise Data Strategist
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Requirements
• 6–10 years combining data strategy with direct client or executive advisory exposure — senior engagement manager or principal-level at a data or management consulting firm, or director-or-above inside a large enterprise data org • You've run executive-facing workshops and translated ambiguous business needs into structured data requirements • Strong grasp of modern data architecture: data mesh, lakehouse, real-time vs. batch, governance frameworks • Experience in at least one priority vertical — financial services, insurance, or crypto/blockchain infrastructure — strongly preferred • The Stuff That's Harder to Teach • Sharp diagnostic instincts. You walk into a new environment and find the real problem fast — not the one in the RFP. • Comfort with ambiguity. Enterprise data environments are not clean. Neither are the conversations around them. • Outcome orientation. You measure success by whether something changed in the client's business, not whether the engagement was delivered on time. • Strong opinions. You have a clear view on what enterprise AI actually requires versus what vendors promise — and you've been in the room when the gap became undeniable. • Background at a firm known for forward-deployed or consultative advisory — McKinsey Data, Palantir, Databricks professional services, or similar • Experience working directly with a CEO or founder in a small-company or build-out context • Familiarity with blockchain data, DeFi, or institutional crypto infrastructure
Benefits
• Competitive base salary, meaningful early-stage equity, and a variable component tied to the engagements you lead and the expansions you drive. We'll be transparent about the full picture in our first conversation. • edisyl is at the moment where the technology is proven and the enterprise market is ready. The person who takes this role will shape how edisyl's largest customers understand their own data problems — and what it looks like to solve them. That methodology doesn't exist yet. You'll be the one who builds it. That's a rare place to learn and a real chance to have outsized impact. • Complete the online application and include responses to: 1) why this role fits where you are in your career right now, and why you are the right person for it; and 2) one example of an enterprise data engagement where the stated problem wasn't the real problem — what you found, how you reframed it, and what happened next. • No template. Just tell us the story.
No credit card. Takes 10 seconds.