Partner – Organisation and Talent — Machine-Learning Infrastructure Stack

The mandate

The chair and executive committee are aligned that the immediate priority is client demand for organisation advice tied directly to strategic delivery within a institutionally backed enterprise artificial-intelligence products company. The immediate arena is the machine-learning infrastructure stack during a commercialisation inflection. For mandate 189, the successful executive inherits decisions that have been deferred, competing stakeholder expectations and a need to establish facts before committing further capital.

The Partner – Organisation and Talent operating perimeter covers approximately CHF 850 million in AI product and services revenue, with activity spanning several machine-learning infrastructure stack customer, product and delivery clusters rather than a single asset. The Partner – Organisation and Talent Artificial Intelligence remit carries direct influence over roughly 275 colleagues and third-party capacity.

The group board and the relevant risk and people committees want a Partner – Organisation and Talent who can convert ambiguity into a short list of explicit choices for the machine-learning infrastructure stack. The Partner – Organisation and Talent Artificial Intelligence seat must resolve a commercialisation inflection, while preserving the underlying strengths of the machine-learning infrastructure stack. For mandate 189, value will come through sharper allocation, stronger leaders and an operating cadence that exposes variance early.

The Partner – Organisation and Talent’s first year on the machine-learning infrastructure stack is expected to end with trusted counsel, senior-team effectiveness and repeatable intellectual property. In mandate 189, authority covers resources and leadership appointments; material trade-offs go directly to the board sponsor.

Why this seat is open

This is a planned replacement for the Partner – Organisation and Talent — Machine-Learning Infrastructure Stack seat. The incumbent continues to lead the machine-learning infrastructure stack through an agreed succession period and will support a structured handover. The board has allowed 4–6 months to assess candidates, complete diligence and protect continuity while a commercialisation inflection is addressed. The search is confidential so the transition can be communicated to employees, customers and partners in a controlled sequence.

What you will own

• Set the Partner – Organisation and Talent value-creation thesis for the machine-learning infrastructure stack, translate it into no more than five enterprise priorities and stop work that does not support them.
• Carry stewardship of approximately CHF 850 million in AI product and services revenue, including allocation, risk acceptance and board forecasts.
• Lead the Partner – Organisation and Talent Artificial Intelligence organisation of about 275 employees and partners, appointing a team with clear decision rights and credible succession for every critical seat.
• Resolve the machine-learning infrastructure stack economics and execution constraints created by a commercialisation inflection, with Partner – Organisation and Talent-approved owners, dated milestones and transparent escalation thresholds.
• Establish one Partner – Organisation and Talent operating review across commercial, customer, financial, people, technology and risk outcomes for the machine-learning infrastructure stack; remove reconciliations that obscure accountability.
• Show repeated senior-client origination plus responsibility for developing principals and future partners in mandate 189.
• Build the Partner – Organisation and Talent’s three-year succession and capability plan for the machine-learning infrastructure stack, reducing dependence on individual executives and improving mobility across the wider Artificial Intelligence organisation.

The first 12 months

• Days 1–90: Validate the machine-learning infrastructure stack baseline, meet the 30 stakeholders most consequential to client demand for organisation advice tied directly to strategic delivery, assess the leadership team, stabilise immediate delivery risks and agree a board-owned scorecard with explicit decision gates.
• Months 4–9: Make the principal Partner – Organisation and Talent portfolio and organisation choices for the machine-learning infrastructure stack, install the new operating cadence, fill critical leadership gaps and deliver the first measurable release of cash, capacity or customer value.
• Months 10–12: Demonstrate a repeatable machine-learning infrastructure stack trend against trusted counsel, senior-team effectiveness and repeatable intellectual property, lock the following year’s capital and talent plan, evidence control sustainability and present a credible three-year value case with downside actions.

What the board will measure

• Delivery of the Partner – Organisation and Talent’s agreed first-year machine-learning infrastructure stack value case within a 10% tolerance, with variance explained before rather than after the relevant quarter closes.
• A Partner – Organisation and Talent forecast that remains decision-useful across three consecutive quarters and reconciles the machine-learning infrastructure stack’s operating, cash, customer and people assumptions.
• Closure of the Partner – Organisation and Talent mandate’s highest-priority machine-learning infrastructure stack risk and execution issues by their board-approved dates, with independent evidence that fixes are sustained.
• Retention of at least 90% of critical machine-learning infrastructure stack talent and ready-now successors for at least 70% of the Partner – Organisation and Talent’s direct reports.
• A quantified Partner – Organisation and Talent-owned improvement in the machine-learning infrastructure stack operating constraint behind a commercialisation inflection, supported by a clean baseline and named data owner.
• Clear stakeholder confidence in mandate 189: no unresolved high-severity escalation older than 30 days and no material surprise withheld from its agreed governance forum.

The person

You are currently a Partner, Organisation Practice Leader or senior talent adviser in a institutionally backed Artificial Intelligence or adjacent enterprise. In relation to the machine-learning infrastructure stack, your Partner – Organisation and Talent track record includes a transition where the original plan was no longer sufficient; you can explain your choices, evidence and numerical impact. Candidates from AI, enterprise software, data infrastructure, cloud, analytics or applied research will be considered where the operating model, customer stakes and governance intensity match this Partner – Organisation and Talent brief.

As a Partner – Organisation and Talent candidate, you bring 22–28 years of progressive Artificial Intelligence or adjacent-sector experience, consistent with the 22-28 experience band. At minimum, you have carried a P&L, book, budget or accountable portfolio of CHF 500 million and led an organisation of at least 200 people. Advisory seats require equivalent machine-learning infrastructure stack client-value ownership and multi-disciplinary leadership.

For mandate 189, the board wants two transitions: a difficult machine-learning infrastructure stack portfolio choice and a leadership-system change during a commercialisation inflection. As the prospective Partner – Organisation and Talent for this machine-learning infrastructure stack, you must challenge optimistic cases and still create followership. References for mandate 189 must distinguish your contribution from the institution around you.

The Partner – Organisation and Talent must be based in Zurich; international relocation is supported, but this Artificial Intelligence role is not designed as a remote appointment.

Non-negotiables

• Current or recent accountability at the level of Partner, Organisation Practice Leader or senior talent adviser, with direct exposure to a board, investment committee or equivalent Artificial Intelligence governance forum.
• Proven Partner – Organisation and Talent ownership of at least CHF 500 million and leadership of no fewer than 200 employees in a comparable machine-learning infrastructure stack context.
• One completed Artificial Intelligence or adjacent-sector example of client demand for organisation advice tied directly to strategic delivery with outcomes sustained for at least two reporting periods after the initial intervention.
• Sector credibility from AI, enterprise software, data infrastructure, cloud, analytics or applied research; experience that is purely functional and lacks Partner – Organisation and Talent-level machine-learning infrastructure stack consequences will not meet the bar.
• Willingness to meet the Zurich location expectation, complete conflicts and background diligence, and protect the confidentiality of mandate 189.

Compensation and terms

The anticipated Partner – Organisation and Talent package is CHF 320,000–430,000 base + annual incentive, calibrated to the final machine-learning infrastructure stack scope and the candidate’s current mix. Any long-term participation for mandate 189 follows standard vesting and performance conditions. The Partner – Organisation and Talent appointment in Zurich, centred on the machine-learning infrastructure stack, offers regular exposure to the group board and the relevant risk and people committees. A structured client and conflict transition of up to 6 months can be accommodated for mandate 189.

Confidentiality

The client name, precise footprint and transaction history are outside this brief for mandate 189. They will be shared with qualified candidates under a mutual undertaking, and the composite facts here must not be reverse-engineered or circulated for mandate 189.