Business Development Executive

**Why SoftwareOne?**
Discover the heartbeat of SoftwareOne Our 7 core values aren't just words - they're the beating heart of our company culture. Join us in a journey that unveils the essence of how we work, connect, and succeed. Watch the video to feel the values shaping our everyday interactions, customer relations, and team spirit.
- Please note that SoftwareOne does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Services Agreement (Job-Specific per our global standard) with the agency/recruiter, SoftwareOne will not consider or agre_e to payment of any referral compensation or recruiter fee._

**The role** Position Purpose**

**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

**Key Responsibilities**
- 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.
- 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.

**What we need to see from you**
- 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.

**Technical and Sales Qualifications**
- 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.

**Desirable**
- 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.

**Job Function**

Sales