Live opening · Posted 13 hours ago
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About the role
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LTM (formerly LTIMindtree) is a global, AI-centric technology services and digital transformation partner helping enterprises reimagine business models, accelerate innovation, and drive growth through data, AI, cloud, and digital engineering. Trusted by leading organisations worldwide, LTM combines deep industry expertise with advanced analytics and intelligent automation to deliver measurable business outcomes and competitive advantage in an increasingly data-driven world. For more information visit - www.ltm.com
Microsoft Pre-sales Engagement Manager - Azure
LTM Australia is seeking a client-facing Microsoft Engagement Manager / Pre-Sales Solutions Consultant to lead enterprise data and analytics transformation opportunities across ANZ region.
This role is ideal for someone from a consulting services, systems integrator, or Microsoft partner background who has experience shaping and qualifying transformation programs, running executive workshops, and transitioning opportunities into global delivery teams operating through onshore/offshore delivery models.
You will work closely with Microsoft stakeholders, enterprise customers, account executives, delivery leaders, and offshore delivery teams to define transformation roadmaps, establish business cases, and build scalable delivery programs leveraging Microsoft Fabric, Power BI, Synapse, Azure Data Services, and AI-ready data platforms.
What You'll Be Doing
Client Engagement & Opportunity Leadership
Lead executive discovery workshops and stakeholder assessments
Develop data and analytics transformation strategies
Partner with customer executives, business sponsors, and technology leaders
Shape opportunities from qualification through solution definition
Facilitate architecture and roadmap discussions with Microsoft and customer stakeholders
Present business cases, transformation roadmaps, and executive recommendations
Support proposal development, RFP responses, and commercial solution positioning
Delivery Shaping & Program Transition
Define delivery approaches leveraging LTM's global delivery model
Build programs that effectively utilise onshore consulting and offshore factory delivery teams
Establish governance, operating models, and delivery guardrails
Lead estimation, planning, and solution transition activities
Work closely with delivery managers, architects, and offshore practice teams
What We're Looking For
Consulting & Industry Experience
10+ years experience in consulting, systems integration, or technology services organisations
Experience working for a Microsoft Partner, Global Systems Integrator (GSI), or consulting services firm
Proven success leading enterprise transformation engagements
Strong customer-facing consulting experience
Experience working within bid, presales, and opportunity management processes
Delivery & Program Leadership
Experience managing large-scale data, analytics, cloud, or digital transformation programs
Strong understanding of global delivery and offshore factory-based delivery models
Experience coordinating distributed delivery teams across multiple geographies
Ability to balance customer outcomes, delivery risk, and commercial objectives
Microsoft Data & AI Experience
Strong exposure to:
Azure Services
Microsoft Fabric
Power BI
Azure Synapse Analytics
Azure Data Factory
Azure Data Platform services
Enterprise Data Warehousing
Data Governance
Analytics Modernisation
Hands-on technical expertise is beneficial but not mandatory. We are looking for a people leader to represent LTM to Microsoft customers on various modernization programs.
Why Join LTM Australia?
Build strategic Microsoft Data & AI transformation programs
Partner directly with Microsoft and enterprise customers
Leverage LTM's Cloud Accelerate and Factory delivery model
Work across ANZ's most significant cloud, data, and AI initiatives
Shape opportunities from strategy through execution
LTM is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law.
BIO - https://vimeo.com/770620919
Work arrangement
Yes
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