Business Development Executive

Why SoftwareOne?

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Position Purpose

This role is instrumental in helping SoftwareOne build, develop, and grow its Data & AI practice across ANZ. The successful candidate will act as a trusted partner to our Account Executives (AEs), enabling them to identify, shape, and progress Data & AI opportunities within key accounts, while also driving new business growth. With a strong focus on Agentic AI solutions, this role will lead the adoption of build-and-buy sales plays for intelligent agents across multiple solutions, positioning SoftwareOne at the forefront of the Data & AI market.

Why Join SoftwareOne?

At SoftwareOne, we are driving innovation in the Data & AI space, helping our customers accelerate transformation and unlock new business models. This role provides the opportunity to be at the centre of that journey, shaping the future of our Data & AI practice in ANZ while delivering measurable impact for our customers and business.

Location

Melbourne or Sydney

• Partner with Account Executives to uncover and qualify Data & AI opportunities across SoftwareOne's top accounts.
• Drive net-new customer engagement by prospecting and shaping Data & AI discussions that lead to measurable business outcomes.
• Lead with Agentic AI solutions as a cornerstone of customer conversations, applying build-and-buy sales plays across multiple solution areas.
• Educate, enable, and influence AEs to confidently position SoftwareOne's Data & AI offerings in customer discussions.
• Act as a thought leader and trusted advisor, demonstrating how Data & AI can unlock value, accelerate transformation, and support long-term customer strategy.
• Contribute to the growth of the ANZ Data & AI practice by building pipeline, supporting account planning, and driving execution against regional targets.
• Leverage hyperscaler-funded programs, co-sell opportunities, and ecosystem partnerships to accelerate adoption and deal velocity.
• Deliver clear and compelling proposals, commercial models, and service outlines tailored to customer use cases and expected outcomes.
• Provide internal feedback to improve portfolio relevance, delivery execution, and partner alignment.

• Existing full-time work rights in Australia.
• Ability to commute to our office and visit customers in Melbourne or Sydney.
• Excellent interpersonal and collaboration skills, with the ability to influence across internal and external stakeholders.
• A naturally curious mindset, with a strong desire to understand emerging technologies, customer challenges, and how innovation in Data & AI can drive business value.

• Proven experience in selling Agentic AI solutions is essential, with the ability to drive build-and-buy sales plays for intelligent agents across multiple solutions.
• Strong track record of partnering with enterprise Account Executives to identify, shape, and close opportunities.
• Demonstrated success in building pipeline and driving net-new business within Data & AI solution areas.
• Deep understanding of how Data & AI can solve real-world business challenges across various industries.
• Able to translate complex technical topics such as data lakehouse architectures, LLM deployments, or machine learning pipelines 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 the 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 the 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 (e.g., ISO, GDPR, Responsible AI).
• Previous exposure to building Go-To-Market offerings or co-sell motions with partners.