Confidential mandate

Board Adviser, Predictive Finance Decision Risk — Forecast and Resource Recommendations

Planned Hiring / New

Board Adviser, Predictive Finance Decision Risk mandate in Hyderabad, India · AI-Enabled Financial Planning Governance

Challenge how predictive and prescriptive finance outputs influence forecasts and resource choices, helping directors understand model limits, feedback effects and human accountability so a persuasive recommendation is not mistaken for a financially supported decision under changed operating conditions.

The mandate

Finance teams are using predictive forecasts and prescriptive recommendations to propose resource shifts across businesses. Directors receive accuracy summaries and apparently precise choices, but less explanation of whether the model remains suitable when operations or management behaviour change. The adviser will challenge the decision use of these outputs. The committee needs to understand what financial question the model answers, which conditions support its result and when a recommendation may look optimal only because an important commercial constraint or operating response was omitted from the analysis.

The twelve-month retainer begins on 26 October 2026, reserving six days per month from a Hyderabad hybrid base. Quarterly finance and risk committee attendance is included within that capacity. Management supplies bounded model-use papers, assumption records and qualified analytics owners. The adviser will assess financial meaning and decision limits, while data specialists determine mathematical and technical properties. A good predictive result does not establish that a proposed intervention is appropriate, especially when the action itself changes the behaviour on which the forecast was based.

For forecasts and resource recommendations, the adviser carries no executive responsibility and exercises no line authority; advice cannot authorise budgets, alter model settings or direct planning staff. The role offers no board office or fiduciary appointment. Management and directors retain choices. The adviser should distinguish measurement error, changed conditions and incentives created by the system's use, helping the committee see when human review needs different evidence. Challenge must remain proportionate: imperfect prediction is not itself proof that a model is unusable, but unexplained confidence is not permission to delegate financial judgement to it.

Complete model-use submissions receive an evidence-gap note within two business days and a written decision-risk assessment within seven business days. Two other non-competing specialist assignments may continue only if the six-day reservation and response periods remain protected. Interests in model vendors, implementation partners or businesses affected by confidential resource choices require disclosure. The chair reviews renewal after month ten for board approval. It can proceed only under a freshly written agreement for twelve months or less, with review capacity and payment renegotiated against the model-use questions still requiring challenge. New model families or exceptional deep testing need written scope. The retainer excludes algorithm development, technical validation certification and execution of management's recommended actions.

What you will own

  • Challenge the financial question and decision perimeter behind each submitted model use, identifying omitted commercial constraints or differences between what the model predicts and what management proposes to do with its output.
  • Examine changes in operating conditions with business and analytics owners, recommending evidence that would distinguish ordinary forecast error from a model whose previous relationships no longer support the current finance decision.
  • Advise on feedback and incentive risks created by resource recommendations, questioning whether managers or customers respond in ways that undermine assumptions drawn from periods before the proposed action was introduced.
  • Shape committee expectations for human review and exception evidence, helping directors understand when a material recommendation requires additional operating judgement rather than a routine acceptance of the model's confidence or ranking.
  • Review claims of decision improvement against actual financial purpose, distinguishing better prediction, better resource choice and reduced preparation effort so unrelated benefits cannot be combined into an unsupported endorsement.
  • Provide written advice with supported conclusions, unresolved specialist questions and conditional use limits, preserving the authority of data specialists, executives and the board rather than treating advisory challenge as model certification.
  • Maintain disclosure and capacity records with the chair, identifying conflicts or added testing needs before they impair independence and recommending an explicit scope decision when the reserved retainer cannot support a new model family responsibly.

Candidate qualifications

  • Demonstrate applied predictive or prescriptive finance work in business controlling, planning or digital-finance transformation. Technology services, consumer businesses or another relevant operating setting can establish the required depth. Explain a recommendation whose financial meaning changed after you examined operating constraints or feedback, identifying your personal judgement and the qualified analytics input. A dashboard implementation or familiarity with AI terminology alone does not show readiness to advise directors on consequential model use.
  • Establish twelve to eighteen years of finance experience including senior function leadership or deputy-CFO responsibility, supported by strong budgeting, forecasting and management-accounting competence. Appropriate education or equivalent substantial senior practice must underpin the financial analysis. Show how you separated model output, management forecast and approved decision, preserving source reconciliation and clear accountability when a technically plausible answer was insufficient for the action proposed.
  • Have challenged business and data specialists constructively when prediction quality and decision suitability differed. Evidence should include a changed operating condition, an omitted constraint or an incentive effect, together with the limitation or review route you recommended. The role requires understanding technical evidence while leaving algorithm validation and platform security to qualified specialists; financial judgement should not be presented as a universal AI assurance opinion.
  • Reserve six monthly days for preparation, discussion and included committee work, with dependable response to complete papers. Disclose relevant vendor, investment and concurrent interests and protect unreleased forecast and resource information. Demonstrate independent written advice that helped executives choose responsibly without giving the adviser budget or staffing authority. Suitable judgement includes supporting a useful model with explicit limits as well as recommending suspension of a materially unsupported use.

Application

Applications for this mandate are received in one way only: through the India Board Terminal's application process. It is automated end to end. Your Executive Passport travels to the mandate holder in its confidential form, your answers to the three questions below are read before anything else in your file, and every stage that follows is recorded on your applications page.

There is no address to write to and no intermediary to call. The mandate holder reads what the Terminal delivers and nothing else, which is what keeps the process the same for every applicant and keeps your name out of it until you release it. Applications close on 8 October 2026. Mandate reference CVU-ADV-2026-IND-265.

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