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About this Data & AI Catalyst GTM Lead role at Accenture

Accenture · Onsite · Singapore

Role Purpose


Avanade is accelerating growth across Microsoft's SME&C segment through repeatable, solution-led Catalyst offerings. The Data & AI Catalyst GTM Lead is responsible for driving pipeline, revenue, Microsoft co-sell engagement, and customer outcomes through Data & AI Catalyst Solutions. 

This role combines Data & AI domain expertise, commercial leadership, and go-to-market execution to help mid-market and corporate customers modernise their data estate, unlock AI-driven business value, and accelerate digital transformation.


The role will lead a geographically distributed Catalyst Squad and be accountable for customer engagement from initial opportunity identification through delivery, adoption, and expansion.

Approximately 50% of the role is customer-facing and focused on business development, solution positioning, and executive stakeholder engagement. The role reports to the Area Catalyst Squads Lead. 


Key Responsibilities

Go-to-Market Leadership


  • Execute the Data & AI Catalyst go-to-market strategy across APAC SME&C.
  • Partner with Microsoft ATU/STU teams to generate qualified opportunities.
  • Drive awareness and demand through executive briefings, workshops, webinars, AI events and industry campaigns.
  • Develop industry-specific messaging and repeatable plays aligned to priority sectors.
  • Position Avanade's Data & AI Catalyst Solutions as the preferred path to business transformation.

Customer Engagement & Opportunity Conversion


  • Engage with C-suite and business decision makers to identify strategic priorities and transformation opportunities.
  • Translate business challenges into practical Data & AI solutions with measurable business outcomes.
  • Lead customer discovery, value definition and solution positioning activities.
  • Develop business cases, ROI models and executive presentations.
  • Accelerate opportunities from qualification through deal closure.

Data & AI Solution Leadership


Provide subject matter expertise across:

  • Microsoft Fabric
  • Azure Data Platform
  • Databricks
  • Power BI & Analytics
  • Azure AI
  • AI Foundry
  • Copilot Studio
  • AI Agents
  • Data Governance and Purview
  • Modern Data Estate Transformation

Guide customers on how Data & AI capabilities can improve operational efficiency, decision making, customer experience and innovation.


Microsoft Co-Sell & Alliance Execution

  • Build trusted relationships with Microsoft field teams.
  • Drive co-sell opportunities and Microsoft-funded engagements.
  • Align Catalyst Solutions to Microsoft strategic priorities.
  • Participate in joint account planning and opportunity reviews. 
  • Increase Microsoft's platform consumption through successful solution adoption

Squad Leadership & Capability Development


  • Lead a distributed Data & AI Catalyst Squad across market.
  • Coordinate solution architects, consultants, delivery and adoption specialists. 
  • Foster collaboration, innovation and accountability within the squad. 
  • Develop reusable assets, accelerators and best practices. 
  • Contribute to the evolution of the global Catalyst portfolio. 

Customer Value Realisation 

  • Define measurable business outcomes and success metrics. 
  • Support customer adoption and value tracking. 
  • Conduct executive business reviews. 
  • Identify expansion opportunities and future transformation initiatives. 

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Key Skills & Experience


Commercial & GTM Skills

  • Consultative and value-based selling 
  • Executive stakeholder engagement 
  • Business case development 
  • Solution positioning and storytelling 
  • Opportunity qualification and pipeline management 
  • Microsoft co-sell engagement 
  • Revenue growth and pipeline creation 

Data & AI Expertise 

  • Microsoft Fabric 
  • Azure Data Services 
  • Power BI 
  • Databricks 
  • Azure OpenAI 
  • AI Foundry 
  • Copilot Studio 
  • AI Agents 
  • Data Governance 
  • Microsoft Purview 
  • Analytics and Insights platforms 

Industry Experience 


Experience engaging customers across industries such as: 

  • Financial Services 
  • Retail 
  • Manufacturing 
  • Professional Services 
  • Construction 
  • Consumer Goods 
  • Distribution 

Ability to connect industry challenges to Data & AI transformation opportunities. 


Leadership Capabilities 

  • Virtual and geographically distributed team leadership 
  • Cross-functional collaboration 
  • Coaching and mentoring 
  • Executive communication 
  • Strategic planning and execution 
  • Innovation and thought leadership 

 

Key Performance Indicators 

Growth & Revenue 

KPI 

Target 

Qualified Pipeline Generated 

4x annual revenue target 

Revenue Influenced/Won 

Annual target achievement 

Win Rate 

>45% on qualified opportunities 

Average Sales Cycle 

Continuous improvement 


Microsoft Partnership 

KPI 

Target 

Microsoft Co-sell Engagement 

>70% of qualified opportunities 

Microsoft-funded Engagements Secured 

Annual target 

Joint Account Plans Executed 

Measured quarterly 


Customer Outcomes 

KPI 

Target 

Customer Advocacy / References Created 

Annual target 

Quarterly Business Reviews Delivered 

100% 

Customer Satisfaction Achievement 

Positive customer outcomes 

Next-Wave Opportunities Identified 

Measured quarterly 


Innovation & Scale 

KPI 

Target 

Reusable Assets & Accelerators Created 

Quarterly contribution 

Industry Plays Developed 

Annual target 

Catalyst Solution Adoption Across Markets 

Measured annually 

IP Contribution to Global Catalyst Portfolio 

Ongoing 

 

Preferred Qualifications 


  • 10+ years of technology consulting, data, analytics or AI experience. 
  • Demonstrated success in solution sales, advisory or transformation leadership. 
  • Experience with Microsoft Data & AI technologies. 
  • Experience working with Microsoft field teams and co-sell motions. 
  • Strong track record in customer growth and business development. 
  • Experience working with mid-market and corporate customers. 
  • Relevant Microsoft architecture certifications in Data, Analytics and AI is mandatory. 

 

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