Azure Data & AI Sales Specialist

at  Microsoft

Are you passionate about helping customers transform their businesses through the use of Cloud and AI technologies?
Microsoft is on a mission to lead the era of Cloud & AI and we are actively seeking a sales specialist to join this mission across our Danish enterprise accounts.
As an Azure Data & AI Sales Specialist, you will play a key role in driving the adoption and growth of Microsoft’s Azure cloud platform and solutions. You’ll work closely with customers, partners, and internal teams to deliver cutting-edge projects that empower organizations to make informed decisions, drive innovation, and transform their businesses.
You will collaborate with a team of technical specialists and architects, partners, and consulting resources to advance the sales process and achieve/exceed quarterly revenue and usage/consumption targets in your assigned accounts.
Your role will be focused on driving Cloud adoption and growing the Azure Data & AI services within selective strategic enterprise accounts. To be successful, candidates should have both a sales and technical background.
Act as a thought-leader to define the Cloud & Data & AI strategy for your accounts, leading speaking engagements, highlighting industry-specific best practices & technical trends in the advanced Cloud space.
You will be responsible for driving the YoY growth of this business and its percentage of contribution to the overall Azure business in your territory.
Build and maintain a healthy pipeline of business, leading with a proactive sales approach, a high level of curiosity, deep customer understanding, and adopting a challenger mindset.
Collaborate with internal teams, partners, and services to lead the proposal or development of solutions that align with customer and Microsoft priorities. Analyze market trends to identify opportunities for new solutions.

QUALIFICATIONS

• Proven years technology-related sales or account management experience specialising in data platform, analytics, or artificial intelligence (AI) technologies
• OR Bachelor’s Degree in Computer Science, Information Technology, Business Administration, or related field AND a few years technology-related sales or account management experience.

Additional or Preferred Qualifications

• Proficiency working with data solutions, encompassing cloud-based data warehouses such as Hadoop, Spark, Data Lake, SQL solutions, and PostreSQL, as well as Machine Learning and AI solutions.
• Microsoft Azure Fundamental certifications
• Technical passion with good understanding of cloud architectural patterns leveraging managed or Platform-As-A-Service offerings, Infrastructure migration scenarios and rearchitecting applications with cloud native technologies including data & AI and modern DevOps practices.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations

The purpose of the role is to act as trusted advisers and Analytics, Data and AI subject matter expert with core capability and expertise in Data Modernisation, Analytics and AI. We work with customers to leverage data to help them achieve their business priorities and help guide customers’ journey through Analytics-led Azure Data & AI 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.