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Data Analytics & AI AV
Portugal
Deliver high-impact, short-format Adoption & Change Management (ACM) engagements that unlock Microsoft AI Products value fast. You facilitate, diagnose, prioritize, enable, and leave customers with concrete artifacts, actions, owners, and metrics—within hours, not weeks.
Key Responsibilities
Lead business case identification and prioritization based on impact, feasibility, and alignment with organizational goals.
Shape and execute enterprise-level Copilot adoption strategies that align with business priorities and transformation goals.
Facilitate structured readiness assessments to evaluate organizational, skilling, and enablement maturity and recommend practical action plans.
Develop and support execution of skilling, enablement, and internal communications strategies to drive user engagement and adoption.
Engage business and IT stakeholders to monitor progress, track value, and optimize adoption strategies based on feedback and usage signals.
Apply Microsoft frameworks and tools to facilitate structured reviews, value realization planning, and success measurement.
Core ACM Competencies
As an adoption expert, you are expected to perform the below tasks at a senior level:
Capabilities assessment:
stakeholder mapping, persona analysis, workflow time-and-motion snapshots, enablement maturity, change risks.
Adoption Planning & Governance (non-technical)
Build 12-week adoption plan with ADKAR milestones map, sponsor roadmaps, resistance plans, reinforcement tactics, RAID log, RACI, comms & training calendar, and value tracking plan.
Design executive steering cadences with KPI pack & decision log.
Enablement & Training
Design persona-based curricula, with measurable learning outcomes
Design train-the-trainer bootcamps; with observation rubrics and pass/fail criteria.
Design internal champions certification materials
Produce ready-to-ship materials: quick start guides, “prompt recipes,” micro-videos, in-app nudges,... etc
Champions program
Design champion programs with champion charter, nomination mail template, recruitment mechanisms via manager nomination; first 30-day schedule, monthly champions scoreboards, champion activity & impact tracking, ..etc.
Communications & Engagement
Produce quarterly comms plan; maintain a content calendar; A/B test subject lines; report reach, open, CTR, and behavior lift.
Produce adoption narrative artifacts (why now, wins, next wave, challenges, leaderboards).
Produce tips artifacts: weekly short posts, bi-weekly champion spotlight, monthly town hall agendas with live demos and Q&A, FAQ drafts, launch emails
Content production
Write 1-page cheat sheets, 2-minute screen-caps, manager talk-tracks, …etc.
Facilitation & coaching
Design executive showcases, floor walks, office hours, …etc.
Ability to convert objections into experiments with clear next steps.
Feedback & support:
Design team inbox, surveys, office hours schedules, FAQ knowledge base, sentiment tracking mechanisms.
Measurement & Value Realization
Design live adoption dashboards (WAU/DAU, depth of use, role cohorts, training completion, help-desk deflection); with baseline capture guide.
Design pre/post workflow studies for priority use cases; with calculations of time saved × frequency × role count.
Design continuous feedback loops: surveys, office hours, shadowing, ... etc
Adoption analytics & Value quantification
Design weekly KPI packs (reach, activation, depth, retention, satisfaction, value); cohort analysis; funnel diagnostics; experiment readouts.
Design Pre/post measurements, counterfactuals, and ROI models
Scale & Sustain
Produce industrialized playbooks for new BUs (starter kit, checklist, templates).
Design transition and sustainment plans: champions incentives, refresher paths, quarterly retros.
Core Microsoft/AI Competencies
AI Use-case engineering (non-technical): Facilitate workshops to decompose tasks, map prompt patterns, define acceptance tests, and assign owners; deliver a scored backlog for prioritization (RICE/ICE) and go/no-go criteria
Articulate AI Transformation business value, map to business KPIs and baselines, capture pilot results, maintain a value register, and craft exec-ready narratives linking signals to outcomes.
Persona & workflow analysis: Build “day-in-the-life” task inventories; run time-and-motion studies; convert to AI transformation workflow with Pre/post measurement plan (baseline source + target metrics).
Drive Prompt Pattern Labs and produce prompt “recipes” mapped to the customer’s context, a “good→better→best” prompt ladder and lab handouts.
Analytics: Pull from M365 Admin Center usage/adoption, Adoption Score category measures, Viva Insights aggregated behavior signals, and Forms surveys to triangulate reach, activation, depth, and behavior change. Maintain a KPI dictionary with thresholds and experiment guardrails
Knowledgeably articulate principle of AI Safety, author acceptable-use and safe-prompting guidelines; run short user safety briefs. create a risk register (data leakage, hallucination), an incident comms playbook, and quick drills.
Socialize Microsoft Responsible AI principles (fairness, reliability & safety, privacy & security, inclusiveness, transparency, accountability). Embed in training/comms with clear escalation paths.
Core Consulting Competencies
7–10+ years in enterprise ACM with Microsoft 365; 2+ years in short-format consulting (workshops/accelerators).
Demonstrated ability to produce assets same-day: backlogs, labs, comms, KPI scaffolds.
Ability to rapidly scope and tailor engagement set to constraints (time, role mix, data access).
Multi-industry exposure; comfort switching contexts multiple times per week.
Facilitate exec and practitioner discussions; keep decisions moving with visible timers, parking lot, and a decision log.
Facilitation & objection handling: Convert “AI fear/quality/safety” into experiments with owners and dates; keep rooms outcome focused.
Software Engineering AV
France
Introduction
Join Avanade’s Global Integrated Center of Excellence (ICOE) as a hands-on AI Application Architect, helping design intelligent, agentic, cloud-native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - driving transformation across complex enterprise landscapes.
Role Overview
As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end-to-end.
This is a unique opportunity to influence Avanade’s architecture direction, elevate engineering productivity, and lead high-impact initiatives across Azure, AWS, and GCP.
What you’ll do
Architect AI-powered applications using autonomous and semi-autonomous agentic frameworks.
Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations.
Modernise legacy applications using agentic AI for discovery, transformation, and refactoring.
Define end-to-end architectures integrating traditional software, LLMs, vector stores, and orchestration.
Drive AI adoption within Avanade Regions, enabling AI-driven solution roadmaps.
Contribute to solution planning and design across multi-disciplinary and multi-cloud environments.
Develop accelerators, reference architectures, and reusable assets for agentic AI patterns.
Guide engineering, data, and DevOps teams on AI automation and pipeline integration.
Travel occasionally for high-value client engagements.
Software Engineering AV
Italy
Introduction
Join Avanade’s Global Integrated Center of Excellence (ICOE) as a hands-on AI Application Architect, helping design intelligent, agentic, cloud-native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - driving transformation across complex enterprise landscapes.
Role Overview
As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end-to-end.
This is a unique opportunity to influence Avanade’s architecture direction, elevate engineering productivity, and lead high-impact initiatives across Azure, AWS, and GCP.
What you’ll do
Architect AI-powered applications using autonomous and semi-autonomous agentic frameworks.
Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations.
Modernise legacy applications using agentic AI for discovery, transformation, and refactoring.
Define end-to-end architectures integrating traditional software, LLMs, vector stores, and orchestration.
Drive AI adoption within Avanade Regions, enabling AI-driven solution roadmaps.
Contribute to solution planning and design across multi-disciplinary and multi-cloud environments.
Develop accelerators, reference architectures, and reusable assets for agentic AI patterns.
Guide engineering, data, and DevOps teams on AI automation and pipeline integration.
Travel occasionally for high-value client engagements.
Software Engineering AV
Spain
Introduction
Join Avanade’s Global Integrated Center of Excellence (ICOE) as a hands-on AI Application Architect, helping design intelligent, agentic, cloud-native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - driving transformation across complex enterprise landscapes.
Role Overview
As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end-to-end.
This is a unique opportunity to influence Avanade’s architecture direction, elevate engineering productivity, and lead high-impact initiatives across Azure, AWS, and GCP.
What you’ll do
Architect AI-powered applications using autonomous and semi-autonomous agentic frameworks.
Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations.
Modernise legacy applications using agentic AI for discovery, transformation, and refactoring.
Define end-to-end architectures integrating traditional software, LLMs, vector stores, and orchestration.
Drive AI adoption within Avanade Regions, enabling AI-driven solution roadmaps.
Contribute to solution planning and design across multi-disciplinary and multi-cloud environments.
Develop accelerators, reference architectures, and reusable assets for agentic AI patterns.
Guide engineering, data, and DevOps teams on AI automation and pipeline integration.
Travel occasionally for high-value client engagements.