Microsoft Data & AI Solution Specialists 

Spain, Community of Madrid, Madrid 

567937936

You will be working with our most important customers on their Data Strategy and the modernization of their Data Estate across Analytics, AI Platforms and Data Governance. You will lead a virtual team of technical, partner and consulting resources to advance the sales process and achieve/exceed quarterly Data & AI revenue and usage/consumption targets in your assigned accounts.

We work with customers to leverage data to help them achieve their business priorities and help guide customer’s journey through Analytics-led Azure Data transformation. We also support customers in evaluating their applications and business requirements, recommend solutions that meet their requirements, and demonstrate these solutions to win the technical decision.​

In this role you will

- Developing Data/AI strategies for driving and closing strategic and/or prioritized opportunities.

- Leveraging and sharing competitor knowledge across solution areas as a subject matter expert to inform decisions on pursuit or withdrawal.

Required/minimum qualifications

• Bachelor's Degree in Computer Science, Information Technology, Business Administration, or related field AND extensive technology-related sales or account management experience OR technology-related sales or account management experience.

Additional or preferred qualifications

• Fluent in Spanish and English languages
• Prior work experience in a Solutions Sales or Consulting position working with Data solutions ranging from structured/relational to semi/non structured data (examples: Cloud-based Data Warehouses, Hadoop, Spark, Data Lake), Data governance and Artificial Intelligence
• Experience of selling to OR working in a banking industry
• Data/AI estate workloads: Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Microsoft Fabrics, Azure Databricks, CosmosDB, Azure SQL, etc.), AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra,Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
• Certifications with Azure Analytics, Azure AI or equivalent industry certifications preferred

Sales Excellence:

• Connect with stakeholders to plan and review strategic accounts, ensuring everyone's voice is heard.
• Innovate and build new markets by leveraging diverse expertise and resources. Lead a team to explore opportunities and optimize the portfolio for customer innovation.
• Collaborate with sales, partners, and marketing to analyze business trends and target high-potential customers. Share your insights and perspectives as a thought leader.
• Stay ahead by completing required training and sharing valuable knowledge with your team.
• Review feedback and set strategies to maintain high levels of client satisfaction. Coach others on customer satisfaction and recovery plans to enhance the overall client experience.
• Manage strategic accounts, lead forecasting, and mentor team members to drive success.

Sales Execution:

• Lead campaigns to discover new opportunities and generate leads. Engage in Data/AI conversations with strategic customers to drive innovation.
• Grow business with existing customers through demos, quotes, and collaboration with partners. Ensure rapid deployment plans are in place for licensing transactions and project engagements.
• Build and govern an external stakeholder network, leveraging internal partners to engage decision-makers. Act as a thought leader and advisor to executive-level business decision-makers.
• Assess customer needs and collaborate on solutions that align with their priorities. Analyze market trends to identify new opportunities.
• Bring impactful industry insights into customer engagements and close deals. Lead virtual transformations and partner integration to create business value.
• Develop strategies for closing opportunities and ensure alignment with account strategy. Lead deal execution and coach others on close plans to drive predictable deal closure.

Technical Expertise:

• Focus on Analytics, BDs, Data Strategies, and AI to drive success.
• Lead conversations and events within Microsoft, mentoring others and sharing best practices.
• Share competitor knowledge and collaborate with global black belts to inform decisions. Provide feedback on product trends and sales blockers.
• Speak at external events and drive conversations with prospective customers as a thought leader.

Scaling and Collaboration:

• Lead sales orchestration with internal stakeholders and partners, building a network across territories.
• Plan and execute opportunities with resources and partners to cross-sell and up-sell. Validate partner solutions and provide feedback to One Commercial Partner (OCP) to scale business results.