Value Architect – AI Strategy, Value Realisation

Avanade

Value Architect shaping AI business cases and measurable outcomes for Avanade Next. Quantifying opportunities, tracking benefits, and supporting outcome-based commercial models across Australia.

Posted 9/4/2026full-timeSydney • 🇦🇺 AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in strategy consulting and business transformation, with a strong focus on financial modeling and AI value drivers. Capable of engaging with senior stakeholders to drive investment decisions based on quantified value and risk assessments.

Highest-signal resume keywords

Strategy ConsultingFinancial ModellingAI Value DriversBenefits RealisationStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Financial ModellingValue EngineeringBusiness Case DevelopmentData AnalysisValue Hypothesis Creation

Soft Skills

Clear Written ReasoningVerbal CommunicationPressure Management

Industry Keywords

Business TransformationValue-Based ModelsOperational ConstraintsInvestment DecisionsBenchmark Data

About the role

Key responsibilities & impact

Partner with clients and Avanade Next teams to identify, quantify and prioritise opportunities
Assess value pools, strategic priorities, operational constraints and feasibility
Sequence use cases by value and feasibility
Build value hypotheses, business cases and baselines during shaping
Translate AI capability into narratives recognised by CFOs, COOs and Boards
Set the measurement model before delivery starts
Track realised versus projected benefit through delivery
Report benefit variance transparently at each gate
Recommend stopping, re-scoping or re-prioritising work where value is no longer achievable
Work alongside FDEs and Trust Architects throughout delivery
Contribute verified outcomes and benchmark data to the APAC value library
Support outcome-based and value-based commercial models with defensible numbers
Establish and baseline business cases on every engagement
Track benefits across production deployments and report at each gate
Validate business case assumptions post-deployment and explain variance
Contribute to the APAC value benchmark library each quarter using verified outcomes
Enable executive stakeholders to make investment decisions with quantified value, risk and implementation assumptions

Requirements

What you’ll need

5+ years in strategy consulting, business transformation, value engineering or a strong finance background
Solid financial modelling capability and comfort working with incomplete data
Understanding of AI value drivers and enough technical fluency to challenge engineering estimates sensibly
Ability to hold a position with senior client stakeholders under pressure
Experience with benefits realisation on programmes where the benefit was measured afterwards
Clear written and verbal reasoning
Australian Citizens are preferred; Permanent Residents will also be considered

Benefits

Comp & perks

Hybrid work arrangement
Full-time employment