Chief Technology Officer — Data And Evaluation Platform

The mandate

Customer and operating evidence now point to a technology architecture decision that will determine the next growth phase within a privately held enterprise artificial-intelligence products company. The immediate arena is the data and evaluation platform during a post-funding scale-up. For mandate 168, the successful executive inherits decisions that have been deferred, competing stakeholder expectations and a need to establish facts before committing further capital.

The Chief Technology Officer operating perimeter covers approximately ₹700 crore in AI product and services revenue, with activity spanning several data and evaluation platform customer, product and delivery clusters rather than a single asset. The Chief Technology Officer Artificial Intelligence remit carries direct influence over roughly 420 colleagues and third-party capacity.

The group board and the relevant risk and people committees want a Chief Technology Officer who can convert ambiguity into a short list of explicit choices for the data and evaluation platform. The Chief Technology Officer Artificial Intelligence seat must resolve a post-funding scale-up, while preserving the underlying strengths of the data and evaluation platform. For mandate 168, value will come through sharper allocation, stronger leaders and an operating cadence that exposes variance early.

The Chief Technology Officer’s first year on the data and evaluation platform is expected to end with engineering velocity, reliability and a funded target architecture. In mandate 168, 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 Chief Technology Officer — Data And Evaluation Platform seat. The incumbent continues to lead the data and evaluation platform 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 post-funding scale-up 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 Chief Technology Officer value-creation thesis for the data and evaluation platform, translate it into no more than five enterprise priorities and stop work that does not support them.
• Carry stewardship of approximately ₹700 crore in AI product and services revenue, including allocation, risk acceptance and board forecasts.
• Lead the Chief Technology Officer Artificial Intelligence organisation of about 420 employees and partners, appointing a team with clear decision rights and credible succession for every critical seat.
• Resolve the data and evaluation platform economics and execution constraints created by a post-funding scale-up, with Chief Technology Officer-approved owners, dated milestones and transparent escalation thresholds.
• Establish one Chief Technology Officer operating review across commercial, customer, financial, people, technology and risk outcomes for the data and evaluation platform; remove reconciliations that obscure accountability.
• Have made consequential architecture and engineering trade-offs while scaling release throughput and reliability in mandate 168.
• Build the Chief Technology Officer’s three-year succession and capability plan for the data and evaluation platform, reducing dependence on individual executives and improving mobility across the wider Artificial Intelligence organisation.

The first 12 months

• Days 1–90: Validate the data and evaluation platform baseline, meet the 30 stakeholders most consequential to a technology architecture decision that will determine the next growth phase, assess the leadership team, stabilise immediate delivery risks and agree a board-owned scorecard with explicit decision gates.
• Months 4–9: Make the principal Chief Technology Officer portfolio and organisation choices for the data and evaluation platform, 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 data and evaluation platform trend against engineering velocity, reliability and a funded target architecture, 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 Chief Technology Officer’s agreed first-year data and evaluation platform value case within a 10% tolerance, with variance explained before rather than after the relevant quarter closes.
• A Chief Technology Officer forecast that remains decision-useful across three consecutive quarters and reconciles the data and evaluation platform’s operating, cash, customer and people assumptions.
• Closure of the Chief Technology Officer mandate’s highest-priority data and evaluation platform risk and execution issues by their board-approved dates, with independent evidence that fixes are sustained.
• Retention of at least 90% of critical data and evaluation platform talent and ready-now successors for at least 70% of the Chief Technology Officer’s direct reports.
• A quantified Chief Technology Officer-owned improvement in the data and evaluation platform operating constraint behind a post-funding scale-up, supported by a clean baseline and named data owner.
• Clear stakeholder confidence in mandate 168: 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 CTO, VP Engineering or Chief Architect in a privately held Artificial Intelligence or adjacent enterprise. In relation to the data and evaluation platform, your Chief Technology Officer 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 Chief Technology Officer brief.

As a Chief Technology Officer 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 ₹800 crore and led an organisation of at least 420 people.

For mandate 168, the board wants two transitions: a difficult data and evaluation platform portfolio choice and a leadership-system change during a post-funding scale-up. As the prospective Chief Technology Officer for this data and evaluation platform, you must challenge optimistic cases and still create followership. References for mandate 168 must distinguish your contribution from the institution around you.

The Chief Technology Officer role in Artificial Intelligence is based in Gurugram; relocation is expected, although a structured weekly commute may be considered during the first quarter.

Non-negotiables

• Current or recent accountability at the level of CTO, VP Engineering or Chief Architect, with direct exposure to a board, investment committee or equivalent Artificial Intelligence governance forum.
• Proven Chief Technology Officer ownership of at least ₹800 crore and leadership of no fewer than 420 employees in a comparable data and evaluation platform context.
• One completed Artificial Intelligence or adjacent-sector example of a technology architecture decision that will determine the next growth phase 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 Chief Technology Officer-level data and evaluation platform consequences will not meet the bar.
• Willingness to meet the Gurugram location expectation, complete conflicts and background diligence, and protect the confidentiality of mandate 168.

Compensation and terms

The anticipated Chief Technology Officer package is ₹3.2–4.6 crore fixed + performance variable and LTI, calibrated to the final data and evaluation platform scope and the candidate’s current mix. Any long-term participation for mandate 168 follows standard vesting and performance conditions. The Chief Technology Officer appointment in Gurugram, centred on the data and evaluation platform, offers regular exposure to the group board and the relevant risk and people committees. A notice period of up to 6 months can be accommodated for the selected executive in mandate 168.

Confidentiality

This search is being conducted without naming the client for mandate 168. Identifying information will follow only when both sides elect to proceed under confidentiality; nothing in the published mandate should be treated as a clue to ownership or brand for mandate 168.