What are the responsibilities and job description for the Sales Productivity Specialist position at Comcentia?
Responsibilities:
- Build technical strategy: map the agreed customer vision into a strategy, resolve concerns, preventing and removing technical blockers, and validating a strong business case for investment and translated technology complexity into business impact. Work with the customer, account team, and partners to orchestrate a roadmap for implementation guiding the customer to choose the best Microsoft Analytics platform and win the AI design for their needs.
- Design the solution using your AI technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs; drive proof of concepts (POCs)/Pilots to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills.
- Cross collaboration across AI, and Apps Innovation team to drive AI Design Wins and support the customer AI transformation inclusive of AI Applications and data foundation. Support the creation of new pipeline in collaboration with the Specialist and account team by identifying new opportunities within customer engagement and hand off to the Solution Specialist for pursuit.
- Be the Trusted advisor and use proactive effort to find and understand customers’ pain points and work with partners to design and offer solutions (with business case) to technical leaders by being a Microsoft AI and Analytics platform evangelist inclusive of new AI and Analytics projects plus real-time analytics, and end to end Data, Analytics and AI solutions.
- Be the Voice of Customer to share insights and best practices with Global Black Belt and Engineering, to remove key blockers and drive product improvements.
- Maintain and grow expertise in AI technologies (Azure OpenAI Service, Azure AI Services, and Azure ML and Model Catalog) and relevant Analytics, Data warehousing, Data Engineering, Data Science, and AI scenarios including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI) while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.
Qualifications:
- Technical pre-sales or technical consulting experience
- Bachelor's Degree
- Experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
- Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture)
- Data and AI technical experience
Salary : $55 - $65
