26 Aug
|
Avanade
|
Sydney
Job Description
Avanade is growing rapidly in Microsoft’s Mid-market and Corporate space (the upper end of what Microsoft calls its SME&C; segment) and has embarked in a journey to transform the IT Services market in that space.
Avanade is already serving hundreds of SME&C; clients across AI Business Solutions, Cloud & AI Platforms, and Security. Our focus now is structure and repeatability — packaging 25 years of enterprise experience into scalable, predictable motions designed specifically for SME&C.; To enable this- we have launched a dedicated SME&C; Business Unit which will have Solution specific ‘Catalyst Squads’ which will be virtual teams taking an opportunity for prepackaged and repeatable ‘Catalyst Solutions’ from qualified lead through to delivery completion .
The AI Transformation Change & Adoption Lead will drive adoption of Avanade’s Agentic Platform, agent-based solutions and AI-enabled ways of working across SME&C; client delivery and operations. The role sits within the APAC squad and works closely with the AI Specialist & GTM Lead, AI Architect and Catalyst Squad Lead to ensure AI transformation engagements deliver measurable adoption, responsible usage and operational value.
Unlike other cross -Squad roles , this role has a deeper AI transformation remit. It focuses on user adoption of agents, workflow redesign, agent lifecycle adoption, responsible AI governance behaviours and the shift from traditional delivery to AI-augmented delivery and operations. The role ensures clients and Avanade teams do not simply deploy AI and agents, but embed them into day-to-day work, governance, measurement and continuous improvement.
Key Accountabilities
- Lead the change and adoption approach for AI Transformation engagements, including Agentic Platform, Copilot, agent-based solutions and AI-enabled operating models
- Translate AI transformation strategies into practical adoption plans that support leadership alignment, user readiness, behaviour change and measurable business outcomes
- Partner operationally with the AI Specialist & GTM Lead to align adoption activities with AI propositions, GTM priorities, Microsoft plays and client value hypotheses
- Work with AI Architects and delivery teams to ensure agent design, deployment and lifecycle management are matched with clear human adoption, governance and operating model changes
- Define stakeholder groups, personas, use cases and adoption journeys for AI and agent-based solutions
- Develop enablement assets for AI adoption, including executive briefings, champion materials, responsible AI guidance, agent usage playbooks, training content and reinforcement plans
- Support responsible AI governance by helping clients and Avanade teams understand roles, decision rights, controls, escalation paths and appropriate human oversight
- Embed adoption and change activities into agent lifecycle management, including onboarding, usage measurement, feedback loops, improvement cycles and retirement / scaling decisions
- Identify adoption risks, trust barriers, workflow disruption, capability gaps and governance concerns related to AI and agent deployment
- Define and track AI adoption metrics such as usage, confidence, productivity signals, use case activation, responsible AI compliance behaviours and value realisation
- Capture lessons from AI engagements and convert them into repeatable adoption assets, AI transformation playbooks and reusable IP for the APAC squad
- Support internal adoption of agentic ways of working across delivery and operations where needed, helping teams use Avanade’s AI and agent capabilities consistently
Key Performance Indicators
- Adoption and sustained usage of AI / agent solutions across target users and teams
- Evidence of behavioural and workflow change linked to agreed AI transformation outcomes
- Client and internal confidence in responsible AI usage and governance
- Achievement of agreed AI value measures, such as productivity, experience, quality or operational efficiency indicators
- Reuse of AI adoption assets and playbooks across engagements
- Chargeability / utilisation against role expectations
- Contribution to improving the Avanade Agentic Platform adoption model and repeatable AI transformation delivery
Qualification
Knowledge, Skills, and Abilities
- Solid change and adoption experience in technology-enabled transformation, with specific exposure to AI, Copilot, automation or digital workplace adoption preferred
- Understanding of AI adoption challenges, including trust, governance, skills, responsible use, human oversight and workflow redesign
- Ability to translate technical AI and agent concepts into practical behavioural, operational and business change
- Advanced Knowledge of change management frameworks and methods, including assessing readiness
- Advanced knowledge and experience of quantitative and qualitative data analyses to inform decision-making
- Effective interpersonal skills
- Ability to identify and communicate information/strategy to multiple stakeholders
- Results-driven and detail-oriented
- Excellent written and verbal communication skills
- Extensive experience with organizational design-Extensive project management experience
- Previous experience successfully leading/managing professionals
Education, Certifications and Experience
- B achelor's degree or have equivalent combination of education an d experience. However, a Master's degree or equivalent is preferred.
- 7-15 years of professional experience and at least 7-10 years of experience in Change Enablement.
📌 SME&C Change & Adoption Lead (Sydney)
🏢 Avanade
📍 Sydney