Senior Manager Sales - Abu Dhabi, United Arab Emirates - Core42

Description

Overview

The Opportunity

Core42 is looking for a Senior Manager Sales for Azure Data and Analytics (AI)

Core42 is the UAE's national-scale enabler for cloud and generative AI, combining G42 Group's expertise across multiple technology disciplines into a single platform for public sector and large enterprise transformations. Building on our capabilities as sovereign cloud and HPC specialist, we bring generative AI, cybersecurity, professional and managed services expertise to enable national-scale program deployments across industries.

• Business Development: Identifying, developing, pursuing new business, and closing sales opportunities related to Data and Analytics (AI) for Microsoft Azure. This involves understanding customer needs and positioning a Data and Analytics (AI) Go-to-Market (GTM) offering as the optimal solution. Performing market research, networking, and developing strategies to attract new clients or enter new markets with Data and Analytics (AI) for Microsoft Azure GTM offerings. Assist and contribute towards Core42's ability to increase the customer base using cloud products for Data and Analytics (AI) and productivity.
• Partnership Management: Work with the partner management team to establish and maintain strategic partnerships with other companies and organizations. This involves managing relationships with partners, co-developing marketing strategies, and aligning efforts to promote Data and Analytics (AI) for Microsoft Azure solutions and the associated digital services.
• Technical Expertise and Consultation: Possessing a deep understanding of Data and Analytics (AI) for Microsoft Azure offerings, including Bots, Machine Learning (ML), Datasets, Data Warehouse, Data Lakes, Data Science, Data Stream, Data Catalog, Data Factory, Data Insights, Large Language Models (LLM), Supervised Learning Models, Unsupervised Learning Models, Natural Language Processing (NLP) Models, Reinforcement Learning Models, Computer Vision Models, Self-Aware, Artificial Narrow Intelligence, Artificial General Intelligence, Artificial Superintelligence, Limited Memory, Reactive Machines, Theory of Mind solutions and services. Stay informed about the latest technologies and updates. Provides technical guidance to customers, helping them understand how Azure can meet their specific requirements for data and analytics (AI) including machine learning (ML) environments.
• Digital Services Support: Advocate and sell professional services (like consulting, migration, and optimization services) and managed services (like ongoing management and operation of Data and Analytics (AI) platforms). This involves understanding these services in-depth and communicating their value to clients. Work with the digital services and delivery teams to support and contribute towards in developing the Data and Analytics (AI) for Microsoft Azure digital services offerings. Not limited to Core42 Data and Analytics (AI) solutions and services like (JAIS - Local Language Model (LLM).
• Client Engagement: Actively engage with potential and existing clients to understand their business needs and challenges. Identify how Data and Analytics (AI) for Microsoft Azure solutions can provide value-added services. Engaging with customers, particularly at the executive level, to understand their business challenges and objectives. The specialist builds and maintains relationships, positioning themselves as a trusted advisor for Data and Analytics (AI) for Microsoft Azure solutions. This may include collaborating across solution domains like Business Apps, Digital and App Innovation, Infrastructure, Modern Work, and Security/Cybersecurity GTM offerings.
• Solution Design and Customization: Tailoring Data and Analytics (AI) for Microsoft Azure solutions to fit customer needs. This involves working with technical and non-technical stakeholders to design and propose solutions that align with the customer's business goals and IT strategy.
• Solution Development: Work with pre-sales solution architects and post-sales technical delivery architects to develop and propose customized Data and Analytics (AI) for Microsoft Azure solutions that align with client requirements, utilizing the appropriate digital services. Assist and contribute towards Core42's ability to grow the deployment of our partner Data and Analytics (AI) GTM services.
• Driving Cloud Adoption: Encouraging the use of Data and Analytics (AI) for Microsoft Azure digital services and helping customers navigate their journey to the cloud, which includes migration and modernization of their existing data and analytics platforms.
• Sales Strategy and Execution: Develop and implement sales strategies to promote Data and Analytics (AI) for Microsoft Azure solutions and supporting digital services. This includes setting sales goals, identifying key markets, and creating plans to achieve sales targets.
• Proposal Preparation and Presentation : Work with pre-sales solution architects to prepare detailed proposals and present them to clients, effectively communicating the benefits and technical aspects of Data and Analytics (AI) for Microsoft Azure solutions.
• Collaboration with Technical Teams: Working closely with other sales, technical (pre-sales (solution architecture) and post-sales (technical delivery)), and marketing teams within Core42 to develop comprehensive sales strategies and deliver cohesive Data and Analytics (AI) GTM offerings to customers.
• Negotiating and Closing Deals: Lead Data and Analytics (AI) for Microsoft Azure negotiations with clients and focus on closing sales deals while ensuring that the terms are beneficial for both the client and Core42.
• Achieving Sales Targets: Meeting or exceeding defined sales goals for Total Contract Value (TCV), including partner and Core42 consumption and adoption targets.
• Customer Education and Advocacy: Providing insights and knowledge to customers about the benefits and capabilities of Data and Analytics (AI) for Microsoft Azure GTM offerings, and how these can support their digital transformation initiatives.
• Market Analysis and Trends: Keeping abreast of market trends and competitor activities in Data and Analytics (AI) for Microsoft Azure and using this information to inform sales strategies and approach.
• Feedback Loop and Product Improvement: Collect customer feedback and collaborate with product engineering teams to improve Data and Analytics (AI) for Microsoft Azure GTM offerings, providing insights for potential product enhancements if applicable.
• Compliance and Security Expertise: Understand and provide support on compliance and security standards relevant to Data and Analytics (AI) for Microsoft Azure GTM offerings. This includes understanding how Cloud for Sovereignty controls and features can enable public sector customers to build and digitally transform workloads for Data and Analytics (AI), while meeting their compliance, security, and policy requirements, without compromising on the performance, innovation, security, or scale of Cloud.
• Post-Sale Relationship Management: Maintain relationships with clients after the Data and Analytics (AI) for Microsoft Azure sale to ensure satisfaction, address any issues, and explore opportunities for upselling or additional digital services. Assist and contribute towards Core42's ability to enable growth in the use of partner Data and Analytics (AI) products or in the expansion of partner services and workloads utilized by our customers.
• Continuous Learning and Certification: Keep skills and knowledge current through ongoing training and certifications in Data and Analytics (AI) for Microsoft Azure. Assist and contribute towards Core42's skills and capabilities to achieve the eligible certifications for Data and Analytics (AI) partner GTM offerings like Microsoft and OpenAI.
• Reporting and Analytics: Use sales data and analytics tools to assess performance, inform decision-making, and report to senior management regarding Data and Analytics (AI) for Microsoft Azure commercial business.
  
  

Responsibilities

Key Role and Responsibilities:

• Customer Engagement (40%): Spend significant time with customers to develop new Modern Work engagements aligned with technical and business strategies. Work collaboratively with partners and Core42 teams, utilizing core tools and account lists to identify and engage prioritized customers.
• Technical Leadership (40%): Act as a key technical leader with profound knowledge, influencing customer decisions for Modern Work solutions. Tailor messaging to guide customers on cost-saving benefits, technical discussions, and align appropriate solutions, programs, and resources. Lead technical demonstrations to showcase Modern Work in relation to customers' objectives.
• Market Strategy Contribution (20%): Influence partner and Core42 Go-to-market strategies by providing feedback on product requirements and sales barriers. Share knowledge and drive initiatives that have a significant business impact.
  
  

Additionally, You Will Be Responsible For

• Sales Execution: Lead solution sales efforts for Modern Work and associated Digital Services. Engage with customers to introduce digital transformation solutions, working closely with account and industry teams on complex sales pursuits.
• Client Relationships: Develop and nurture relationships within the C-Suite of enterprise accounts, identifying and growing new relationships and opportunities.
• Sales Cycle Management: Lead sales cycles from initiation to completion for customized modernization and transformation programs. Meet or exceed annual targets for Modern Work Offerings.
• Cross-Functional Collaboration: Engage with pre-sales support and client relationship teams to drive a pipeline of qualified leads and execute standard sales processes through closure.
  
  

Qualifications

Minimum Qualifications:

• Education : Bachelor's degree in computer science, Information Technology, or related field. Equivalent work experience considered.
• Experience : Minimum 10+ years in business development or sales, with 3-6+ years in technology-related sales or business development, preferably in Data and Analytics (AI).
• Skills : Strong sales track record, solution selling, excellent communication, technical knowledge, customer relationship management, problem-solving, analytical, and adaptability and learning, teamwork and collaboration, time management and organization, persistence and resilience, negotiation, and interpersonal skills. Leadership skills to guide and mentor less experienced personnel.
• Technical Expertise : Expert knowledge in Microsoft Azure Data and Analytics (AI) technologies. Ability to analyze business requirements and create technical solutions.
• Azure AI and Machine Learning: Azure Machine Learning, Azure AI Studio, Azure AI Search, Azure OpenAI Service, Azure AI Speech, Azure AI Language, Azure AI Translator, Azure AI Vision, Azure AI Document Intelligence, Azure AI Content Safety.
• Azure Analytics: Azure Synapse Analytics, Azure Databricks, Microsoft Purview, Azure Data Factory, HDInsights, Azure Stream Analytics, Azure Analysis Services, Azure Data Lake Storage, Azure Data Explorer, Microsoft Fabric.
• Other: Core42 JAIS Local Language Model (LLM), Core42 Condor AI Platform, Snowflake Data Cloud Platform
• Certifications : Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure AI Fundamentals, Microsoft Certified: Azure Cosmos DB Developer Specialty, Microsoft Certified: Azure Data Engineer Associate, Microsoft Certified: Azure Data Fundamental, Microsoft Certified: Azure Data Scientist Associate, Microsoft Certified: Azure Enterprise Data Analyst Associate, Microsoft Certified: Dynamics 365 Customer Insights (Data) Specialty
  

Additional Or Preferred Qualifications

• Education: Master's degree in computer science.
• Certifications: TOGAF Certified, ITIL Foundations Certified, CompTIA Data+ (Plus) Certified
• Proven experience in technology-related sales or account management.
• Experience with Azure Pricing Calculator, Azure ROI Tool, and Azure TCO Tool.
• Experience with Azure Sovereign Public Cloud.
• Knowledge of Data and Analytics (AI) for Microsoft Azure solutions, including IaaS and PaaS environments.
• Knowledge of AWS Data and Analytics (AI) solutions will be a plus.
• Experience leading large Data and Analytics (AI) engagements.
  

What We Look For

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Core42 community.

What Working At Core42 Offers

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.

Work-Life: A hybrid work policy to strike the perfect balance between office and home.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.