Deployment Lead

YouDevise

New York (NY)

On-site

USD 180,000 - 280,000

Full time

18 hours ago
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Job summary

YouDevise, a New York–based AI-native data migration and transformation company, seeks an Engagement Lead to sit with clients, scope problems, direct engineers, and own outcomes through go-live. The role signs engagements, manages sponsor conversations, and drives value beyond initial projects.

You should have 3–6 years from top-tier consultancies or PE value-creation experience, or led a portfolio-company function during data-driven transformations.

Qualifications

  • Three to six years at McKinsey, Bain or BCG, or on a private equity value-creation team, or ran a function in a portfolio company when data was a mess.
  • Ability to run an engagement with ambiguous scope, demanding customer, and engineers who need clear decisions.
  • Operational excellence: the deck is right, the model ties, and the client hears back the same day.
  • Willingness to use AI aggressively and learn fast—80/20 judgment over polish.
  • Ambition for upside and partnership trajectory.

Responsibilities

  • Engagements – lead the engagement once signed: scope with stakeholders, direct engineers, keep it moving, and own through go-live.
  • Relationships – sit in sponsor conversations, present readouts, and generate future work from current engagements.
  • The practice – own common engagement components as the practice scales, and hire engagement leads as customers stack up.

Skills

Engagement management
Stakeholder management
AI transformation
Go-live readiness

Job description

We're hiring someone to run our engagements: sit with the customer, scope the problem, direct our engineers, and own the outcome through go-live. Today that job belongs to the founders, and it's the constraint on the business – the work is signing faster than we can staff it. It's also the part most people find addictive, because you watch AI do real work inside an operating business.

The people who do well here come from McKinsey, Bain or BCG, from a private equity value-creation team, or from deployment work at a place like Palantir. You're operationally strong, you can hold a room of VPs, and you want to be on the frontier of how real companies adopt AI.

We partner with private equity firms on value creation inside their portfolio companies, using data and AI. We are an AI-native data migration and transformation company: the portfolio company is the buyer, and the sponsor is the channel that gets us in.

Migration is ERP and CRM migrations and system consolidations – work that today goes to large offshore teams for 18–24 months, and should take weeks.

Transformation is everything leading up to the actual AI transformation: most companies' AI mandates stall because the data underneath was never made usable.

What You'll Do

Engagements – the core. Run what we sign as the engagement lead: scope with the stakeholders who own the systems, direct our engineers, make the calls that keep it moving, and own it through go-live. On day one that looks like: we just signed a post-M&A migration at a portfolio company – go lead it with two engineers.

Relationships – the work creates the next work. The person who ran the last engagement is the most credible person in the next room. You'll sit in the sponsor conversations, present the readouts, and turn one portco into three. There's no quota, and the commission is upside on anything you bring in yourself.

The practice – over time. Every engagement shares common pieces, and we haven't productized them yet; that becomes yours to own, along with hiring engagement leads under you as customers stack up.

Key Requirements

You have three to six years at McKinsey, Bain or BCG, or on a private equity value-creation team – the ideal path is a few years of consulting and then a stretch inside PE – or you ran a function in a portfolio company when the data was a mess.

You can run an engagement, and you want to: an ambiguous scope, a demanding customer, and engineers who need clear decisions.

You're operationally excellent. The deck is right, the model ties, and the client hears back the same day.

You use AI aggressively, or you want to learn fast – real 80/20 judgment over polish.

You want the upside, and you've seen what the path to partner looks like. You'd rather own something.

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