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Avanade Hiring! Full Time Data - AI Catalyst GTM Lead in - Ricebowl

Data - AI Catalyst GTM Lead

Avanade

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

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.

Qualifications

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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