Enterprise AI Solutions Architect - Pre-Sales Lead

Enterprise AI Solutions Architect - Pre-Sales Lead

Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Anaplan

At a Glance

  • Tasks: Architect technical strategies and lead demos for enterprise customers.
  • Company: Anaplan, a leader in enterprise planning and AI-driven analytics.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and customer success.
  • Why this job: Join a dynamic team and make a significant impact on enterprise solutions.
  • Qualifications: Experience in FP&A, Financial Transformation, or Supply Chain is essential.

The predicted salary is between 80000 - 100000 £ per year.

Anaplan, a leader in enterprise planning and AI-driven analytics, seeks a Principal Solution Consultant for Enterprise Accounts.

You will join our presales team to architect technical strategies across large enterprise customers, collaborating with sales, domain experts, and product teams.

A strong background in FP&A, Financial Transformation, or Supply Chain will help you excel in this role.

You will design tailored demos, lead discovery sessions, and run POC workshops that prove Anaplan's

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Enterprise AI Solutions Architect - Pre-Sales Lead employer: Anaplan

Anaplan in Manchester is an exceptional employer that prioritises diversity, equity, and inclusion, fostering a collaborative work culture where every voice is valued. Employees benefit from continuous growth opportunities through professional development and access to cutting-edge BI tools, making it an ideal environment for those looking to make a meaningful impact in the field of data analytics.

Anaplan

Contact Details:

Anaplan Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise AI Solutions Architect - Pre-Sales Lead

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Apply Directly through Our Website

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We think you need these skills to ace Enterprise AI Solutions Architect - Pre-Sales Lead

Enterprise Architecture
Technical Strategy Development
FP&A (Financial Planning & Analysis)
Financial Transformation
Supply Chain Management
Demo Design
Discovery Session Facilitation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Anaplan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Anaplan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Anaplan

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

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Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.