About the Role
The Presales Solution Professional – Data & AI provides specialized presales technical expertise in designing and supporting data-driven and artificial intelligence solutions across enterprise customers. This role supports the sales process by identifying customer needs, developing tailored data and AI solution proposals, and delivering technical presentations and demonstrations.
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Key Responsibilities
- Presales Engagement Support
- Collaborate with the sales and business development teams to understand customer requirements related to data management, analytics, and AI adoption.
- Assist in evaluating customer data landscapes and contribute to the preparation of Data & AI solution proposals based on Microsoft Azure, Power BI, and related technologies.
- Translate client requirements into conceptual solution outlines following established frameworks and templates.
- Participate in qualification meetings and contribute technical input to align opportunities with available solutions.
- Solution Preparation and Documentation
- Prepare and maintain technical documentation, solution briefs, and RFP responses, ensuring alignment with company standards.
- Support the preparation of data flow diagrams, architecture visuals, and use case scenarios for proposals and presentations.
- Ensure all documentation meets quality, accuracy, and completeness standards before submission.
- Demonstrations and Proof of Concepts (PoCs)
- Assist in developing and delivering demonstrations and PoCs for customers to showcase data visualization, reporting, and AI capabilities.
- Set up sample environments under guidance to validate proposed solutions.
- Gather customer feedback during PoC sessions and provide structured summaries to the Presales Solution Executive or relevant teams.
- Collaboration and Cross-functional Coordination
- Coordinate with internal delivery, operations, and technology teams to ensure technical feasibility and alignment during the presales stage.
- Maintain communication with the solution delivery teams to ensure a smooth transition from proposal to implementation.
- Knowledge Management and Improvement
- Stay up to date with emerging technologies in Data, AI, and Analytics within Microsoft and other major platforms.
- Participate in internal enablement sessions and continuous learning programs to strengthen technical capability.
- Contribute suggestions for improving proposal templates, presentation materials, or internal presales tools.
Requirements
- Qualifications
- Education: Bachelor's degree in computer science, Data Science, Information Technology, Engineering, or a related field.
- Experience: 6–8 years of experience in technical presales, data engineering, analytics, or AI-focused consulting.
- Exposure to data platform design, data governance, and analytical reporting projects.
- Experience assisting in RFP development, proposal preparation, or solution documentation.
- Familiarity with Microsoft Azure Data Services (Synapse, Data Factory, Databricks, AI Services, Power BI).
- Understanding of data lifecycle management, AI model concepts, and analytics workflows.
- Ability to assist in building dashboards, basic AI demos, or workflow automation scenarios.
- Awareness of data security and compliance standards.
- Strong analytical and problem-solving ability.
- Good communication and presentation skills with technical and non-technical audiences.
- Strong organizational skills to manage time and deliverables independently.
- Collaborative mindset with attention to process adherence and team coordination.
Equal Employment Opportunity
The company is an Equal Opportunity Employer and does not discriminate based on race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation, or any other basis prohibited by applicable law. The company also takes affirmative action to employ, and advance in employment, qualified women, minorities, and diverse representations. The company makes reasonable accommodations for qualified individuals with disabilities, in accordance with the relevant employment laws.
