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Xero · Melbourne / Sydney

General Manager, Data Science

New senior leadership benchmark spanning product AI strategy, experimentation, data architecture, governance and scaled team leadership across Melbourne or Sydney.

data scientistai productai strategy
stretch76opportunity score
Hard-constraint gateVerify before applying
  • work authorizationAustralia work rights or sponsorship

    Confirm eligibility with the recruiter before extensive tailoring.

  • yearsSubstantial senior leadership experience

    The official JD describes leadership growth from roughly 12 to 30 people, including managers.

JD snapshot

Responsibilities

  • Own data-science, analytics, ML and AI strategy across products
  • Scale AI-native product delivery with responsible governance

Requirements

  • Data-science and AI strategy
  • Executive product partnership
  • Experimentation and trusted metrics
  • AI governance and model risk
  • Leadership of managers and multidisciplinary teams
Compensation: not stated

The employer did not state compensation. No estimate is presented as official.

Explainable score · 2026-08-v1

Why this score?

76/100
Candidate fit35%76
JD evidence

Data-science and AI strategy

Executive product partnership

Experimentation and trusted metrics

Candidate proof

Documented ML project

Time-series portfolio evidence

Gaps

AI governance and model risk

Leadership of managers and multidisciplinary teams

Career upside20%84
JD evidence

Research-to-production scope

Candidate proof

Research-to-industry portfolio

Gaps

None material

Compensation10%70
JD evidence
Candidate proof
Gaps

Employer compensation not stated

Actionability20%72
JD evidence

Official source captured

Candidate proof

Targeted CV draft available

Gaps

Australia work rights or sponsorship

Substantial senior leadership experience

Personal factors15%82
JD evidence
Candidate proof

English-working market preference

Gaps

None material

Source confidence 96%Explanation coverage 95%