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As an Azure Data & AI Technical Specialist, your role will be to communicate and demonstrate the value of Microsoft's enterprise-ready data platform and cloud solutions. You will facilitate the design and implementation of these solutions, addressing customers' needs in machine learning, big data data lakes, business analytics, and modernization.

In this capacity, you will act as a trusted advisor and an infrastructure subject matter expert. Your core expertise will encompass database migration and modernization, data warehousing, AI, and cloud economics. Additionally, you will specialize in developing and implementing advanced LLM (Large Language Models) and SLM (small language model), such as AOAI for LLM and Llama 3 for SLM. Your efforts will ensure that comprehensive, cutting-edge solutions meet the evolving needs of our customers.

You will work with customers to help them achieve their business priorities and help guide customer’s journey through Data&AI modernization. You will help customers evaluate their applications and business requirements, recommend solutions that meet their requirements and demonstrate these solutions to win the technical decision. You will need to support customers to remove roadblocks to deployment and drive customer satisfaction. You will help our customers take advantage of our unique platform and leading infrastructure solutions to realize the value of digital transformation.

Responsibilities

Scaling and Collaboration : Ability to collaborate with a network of partners and internal stakeholders to cross-sell and up-sell. Skilled in researching and discussing with partners on customer scenarios, developing joint proposal with partners, and contributing to developing partner strategies to address gaps in partner capabilities.

Technical Expertise : Being the key technical leader, with an outstanding Cloud Economics knowledge, trusted advisor and influencer in shaping customer decisions to commit, architect and adopt Microsoft Data Services and AI solutions. You will win the customer’s decision for sales opportunities and consumption scenarios, through tailoring your message, bringing ideas to customers, engaging with them to show our technology differentiation, and guiding them in decision making. You will lead presentations, demonstrations, brief architecture design sessions to explain, demonstrate, and prove to our largest customers the capabilities of Microsoft Azure Data and AI Services, and how we can make their businesses more successful.

Sales Excellence : Spend time with customers identifying and surfacing new engagements that align with the customer’s business strategy. You will work with partners and others at Microsoft, as well as use our core tools, targeted account lists to identify and engage prioritized customers. You will be required to be disciplined in business-management, adaptable to a culture of accountability and build a strong and active business network.

Deliver Results Through Teamwork : Ability to identifying customers and operational needs in partnership with other teams. Skilled in setting priorities, removing barriers and obstacles, and allocating resources.

Qualifications

• Proven 5-7+ years’ experience for solution selling in Data platform, AI, ML. Experience for financial industry customers is preferable.

• Engages in conversations with customers to introduce how our workloads could enable digital transformation areas that is aligned with the customer's industry. Initiates conversations with customers on digital transformation in a solution area, in collaboration with partners and services. Shares learning on digital transformation through seminars, workshops, webinars, and direct engagement.

• Collaborates with team members to discover new opportunities. Drives incremental revenue growth through personal campaigns (e.g., portfolio analysis) or internal sources (e.g., Marketing). Collaborates with account teams, architects, partners, or services to track and qualify 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 Customer Engagement Methodology (MCEM) to determine the quality of the opportunity and whether to proceed.

• Implements strategies to help accelerate the closing of deals in collaboration with other team members. Implements close plans (e.g., how to map timeline, engage the customer, get customer buy-in and commitment) to de-risk and drive predictable deal closure.

• Problem Solver. Ability to solve customer problems through cloud technologies.

• Business Value. Ability to utilize tools such as the Azure Pricing Calculator, Azure ROI Tool, and Azure TCO Tool to generate consumption project cost estimates and demonstrate Cloud economic value to customers, is preferable.

• Collaborative. Orchestrate and influence virtual teams to pursue sales opportunities and lead v-teams through influence.

• Understanding of Microsoft Azure Cloud platform with emphasis on Microsoft Data services, AI technologies, developer tools and services and/or complementing solutions.

• Consumption Project Management. Experience leveraging cloud adoption methodologies and frameworks to structure application migration projects

• Prior work experience in a Consulting/Solutions Sales position working with Data Platform solutions ranging from IaaS, Databricks, Synapse, Azure OpenAI, Hybrid Cloud and SQL Server solutions

• Technical Frameworks. Ability to leverage technical frameworks such as the Cloud Adoption Framework for Azure to guide customers and partners through the cloud adoption journey

• Competitive Landscape. Knowledge of enterprise software solutions and cloud and datacenter infrastructure competitor landscape including AWS and GCP, among others

• Partners. Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs

• Certifications. Azure Associate Administrator certified or equivalent knowledge.

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 (https://careers.microsoft.com/v2/global/en/accessibility.html) .