Digital Specialist - SMC UK - Azure Data & AI

Key Skills

Aartificial intelligence, Amazon RedShift, Apache Hadoop, Azure, Azure CosmosDB, Big Data Technology, Cloudera, Data science techniques, Data Visualization, Databricks, Google BigQuery, Machine learning techniques, MongoDB, PowerBI, Snowflake, SPARK Programming, SQL, Tableau

Job Description

In SMC and Digital Sales, we have set out with the purpose of empowering our customers through the unique value of the Microsoft cloud by building a globally led, digital-first scale organization aligned with partners.

Dedicated to one of the fastest growing customer segments, the Small, Medium, Corporate (SMC) and Digital Sales organization is on pace to be Microsoft's next $100 billion-dollar business - this is where you come in.

As part of local subsidiaries or Digital Sales centers around the world, you will support a dedicated set of customers in identifying and achieving their business objectives through best-in-class digital engagement and partner co-selling. You will also have an opportunity to work cross-collaboratively while living our shared SMC and Digital Sales Culture priorities: Diversity and Inclusivity, Wellbeing, Sustainability, and Learning.

If you have been described as customer obsessed and have a passion for digital-first solutions, we invite you to learn more about the SMC and Digital Sales organization and the value we deliver to our customers, partners, and one another, every day.

As a Data & AI Specialist you will be a solution sales expert within our corporate sales organization working with our most important customers. You will collaborate with a team of specialists and partners, and to advance the sales process and exceed quarterly Data & AI revenue targets in your assigned accounts. ​​

 This opportunity will allow you to accelerate your career growth, honing your solution sales and collaboration skills, and deepening your cloud expertise. This role is flexible in that you can work up to 50% from home.

Qualifications

Required/Minimum Qualifications :

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

Additional or Preferred Qualifications :

• Technology-related sales or account management experience
• OR Bachelor's Degree in Information Technology, or related field AND 6+ years of technology-related sales or account management experience
• OR Master's Degree in Business Administration (e.g., MBA), Information Technology, or related field AND technology-related sales or account management experience
• Solution sales or consulting services sales experience

Subject matter expertise in any of the following is preferred:

• SQL including OSS (postgres, MySQL etc), Azure SQL

• NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
• Big Data including SQL DW, Snowflake, Big Query, Redshift
• Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Tableau
• Data Governance
• Data Engineering
• Data Science
• Machine Learning including Azure ML, ML Server
• Artificial Intelligence including BOT framework, Cognitive Services, Cognitive Search
• Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python
• Competitive Landscape - Knowledge of cloud development platforms.
• Partners - Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs.

#SMCDSCareer

Responsibilities

• Customer First Mindset - Engage with and enable our customers and key decision-makers, delivering a connected customer engagement experience and driving customer satisfaction, through digital sales excellence, empowered by world-class data, marketing systems and platforms.
• Be the key trusted advisor and influencer in shaping customer decisions to buy and adopt Microsoft Azure solutions by winning the customers’ technical decision for consumption projects and usage scenarios through tailored messaging, technical discussions, and aligning the appropriate solutions partners, programs and resources to guide them in decision making and consumption plans.
• Collaborates with Digital Specialists, extended sales team, partners to conduct business analysis (e.g., whitespace analysis, identify industry trends) to pursue high-potential customers and develop a target list of potential business. Elevate team capabilities and focus on working smarter and more effectively. Prioritizing time with customers and partners, leveraging tools and processes to run and grow the business and build a stronger team.
• Lead technical demonstrations of Azure solutions to explain and prove the capabilities of Microsoft Azure relative to the customers business and technical objectives. Collaborates with account teams, partners, or services to track, qualify, and expand new opportunities. Collaborates with other teams (e.g., account teams) and services to build pipeline. Interfaces with customers and builds relationships via social selling. Applies Microsoft's sales to determine the quality of the opportunity and whether to proceed.
• Engages in conversations with customers to introduce how other workloads could enable digital transformation areas that is aligned with the customer's industry and turns opportunities into deals. Has a deep understanding of customers' business and its priorities to drive conversations with customers on digital transformation across multiple solution areas, in collaboration with partners and services. Creates guiding examples of digital transformation through seminars, workshops, Webinars, and direct engagement.
• Build relationships with leadership and field stakeholders to enable team success across internal and external stakeholders. Collaborates with account teams (e.g., Account Executives) to identify and engage senior business subject matter decision makers at the customer's/partner's business and maximize scale through partners; work with technical specialist/CSA to secure commitment.
• Applies the orchestration model to proactively drive deal closure by identifying and aligning internal stakeholders and leveraging and expanding relationships with partners, creating demand leading with industry use cases.