
Data Solutions Architect
22 hours ago
We are seeking a highly motivated and commercially focused Business Development Executive to play a pivotal role in helping customers unlock value from their data assets, leverage AI to transform their operations, and navigate the rapidly evolving data landscape.
Key Responsibilities:- Drive growth of Data & AI Services, including advisory, implementation, and managed services.
- Buid and maintain strong customer relationships, identifying and qualifying net new opportunities across multiple industries and account segments.
- Lead end-to-end sales cycle from early-stage qualification to contract closure, ensuring high standard of commercial and technical alignment.
- Collaborate with Account Managers, Enterprise Architects, and Technical/Practice Leads to align customer goals with solution design and delivery capabilities.
- Engage key cloud and ISV partners to co-sell, bundle, or jointly position services to accelerate customer outcomes.
- Align to hyperscaler sales plays while remaining vendor-agnostic in solution positioning.
- Stay abreast of emerging trends across Generative AI, AI Agents, ML Ops, LLM integration, and data platform modernisation.
- Deliver clear and compelling proposals, commercial models, and service outlines tailored to customer use cases and expected outcomes.
- Existing full-time work rights in Australia
- Ability to commute to office and visit customers in Melbourne or Sydney
- Excellent interpersonal and collaboration skills, with ability to influence across internal and external stakeholders.
- Naturally curious mindset, with strong desire to understand emerging technologies, customer challenges, and how innovation in Data & AI can drive business value.
- 5+ years experience in enterprise technology sales or pre-sales, with focus on data platforms, analytics, or artificial intelligence solutions.
- Deep understanding of how data and AI can solve real-world business challenges across various industries.
- Able to translate complex technical topics into commercially relevant conversations.
- Proven ability to lead complex, multi-party sales engagements across both IT and line-of-business (LOB) stakeholders.
- Familiarity with hyperscaler-native and third-party platforms, including Azure Synapse, AWS Redshift, GCP BigQuery, Power BI, Tableau, Databricks, Snowflake etc.
- Understanding of AI/ML lifecycle, including model development, deployment, governance and ethical considerations.
- Strong understanding of cloud economics and how to structure service offerings around platform spend and customer ROI.
- Experience selling advisory, professional and managed services, including data strategy, platform modernisation, data governance and AI roadmap execution.
- Excellent written and verbal communication skills, with ability to present confidently to C-suite and technical stakeholders alike.
- Experience with opportunity management, CRM discipline and pipeline development practices.
- Experience working in or alongside data engineering, analytics or AI teams.
- Understanding of data privacy frameworks and AI governance.
- Previous exposure to building Go-To-Market offerings or co-sell motions with partners.
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