Pre Sales Consultant

ROLE

The role is aligned to our Data&AI division focussed on earlystage engagement with clients helping our commercial teams structure and estimate programme deliveries. The role will involve a deep knowledge of the technology we implement and helping our potential clients understand what we can deliver and how we do it with the Microsoft Technology stack. It will suit a technically minded person who has previously had strong experience in a consultancy role delivering enterprise data platform solutions and working with clients to scope design and estimate new projects. You may also have worked in a pre sales role before but this is not essential.

This is a clientfacing position so the ideal candidate must be willing to travel when necessary although most of our clients tend to favour meeting on Teams these days.

Our offices are in Farnham London and Manchester. The role can be based at any of these locations. Induction training and company meets are typically in London or Farnham.

RESPONSIBILITIES 

What will I be doing

• Working on client leads and opportunities that utilise tools primarily within Microsoft Azure Data & AI (experience of other cloud platforms is useful but not necessary)
• Working closely with clients and building lasting customer relationships
• Clearly articulating technical aspects of Data & AI programmes in a simple non technie manner whilst projecting interest and enthusiasm about what can be achieved with data technology
• Assist in the production of RFP responses and other proposals to clients.
• Presenting technical delivery approaches and schedules to prospective clients
• Helping to shape collateral and other technical resources for sales campaigns
• Propose technical and business solutions in support of sales activities
• Present technical and business aspects of proposed solutions to prospective clients
• Being able to identify and articulate business value behind technical implementations
• Working closely with the delivery team to provide estimates to clients
• Working closely with the commercial team to achieve sales goals

Qualifications :

Behavioral & Interpersonal Skills:

• Negotiation: Must explore alternatives and positions to reach outcomes that gain support and acceptance of all parties.
• Presentation Skills: Requires clear credible and persuasive presentations of Microsoft products services and solutions to prospective customers from both business and technology backgrounds
• Writing Skills: Requires the ability to effectively communicate at all levels of an organization. Excellent writing skills are required for emails proposals tender responses and other communications.
• Partnering: Requires the ability to work in a team environment with colleagues across the organization and provide leadership in preparing for sales presentations tenders and responding to questions from customers.  Engage in crossfunctional activities and collaborate across organizational boundaries.

What experience/skills do I need

• Industry experience in designing data lake data warehouse and analytics solutions on Microsoft Azure with a good grounding in all associated areas
• Ability and aptitude towards investigating and sharing new technologies
• Strong spoken and written English skills
• Strategic and operational decisionmaking skills
• Outstanding interpersonal skills
• Ability to guide direct or influence people
• Ability to identify opportunities and issues
• Willingness to learn based on feedback
• Ideally degree educatedcomputer science data analysis etc
• Microsoft certified (nice to have)

What about technical skills

You should be comfortable discussing most of the core technologies below in detail and have had exposure to the others. Current Microsoft certifications are useful but not mandatory well help you get those!

Core:

• SQL Server (TSQL and DBA)
• Azure Databricks
• Azure Data Factory
• Microsoft Fabric
• Power BI DAX
• Azure Data Lake

Supporting:

• Azure ML
• Azure AI Services
• Azure Infrastructure
• Python PySpark
• Microsoft Purview

Principles:

• Relational and Dimensional Modelling
• Data Warehouse Theory
• Data platform Architecture models such as Lakehouse
• Data Science
• Master Data Management
• Data Governance

Additional Information :

We dont believe hiring is a tick box exercise so if you feel that you dont match the job description 100 but would still be a great fit for role please get in touch.

Remote Work :

No

Employment Type :

Fulltime