At a Glance
- Tasks: Lead data-driven transformations for Fortune 500 clients using cutting-edge Process Intelligence technology.
- Company: Join a global leader in Process Mining and AI innovation.
- Benefits: Enjoy competitive pay, unlimited PTO, and inclusive parental leave from day one.
- Other info: Be part of a mission-driven team that values diversity and sustainability.
- Why this job: Make a real impact on businesses and the planet with your tech skills.
- Qualifications: Experience in SaaS, SQL/Python, and strong consulting skills required.
The predicted salary is between 59400 - 72600 £ per year.
The company is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily in advanced AI capabilities—specifically our Process Intelligence Graph to turn data insights into immediate business action. We believe there is a massive opportunity to unlock global productivity and sustainability by placing intelligence at the core of every business process. Join our mission to make processes work for people, companies, and the planet.
The Team: The UK Value Engineering team is responsible for our largest Fortune500 customers and owns their transformation journey by working on the very frontier of what’s possible with Data and AI. Partnering closely with the Sales team, Value Engineering is responsible for ensuring that the company data & AI platform is deployed to tackle the most strategic business challenges, fits into the right place in our customers’ technology stack and most importantly generates strong ROI through deep and broad deployments.
The Role: As a Senior Value Engineer you are spearheading our mission of data-driven business transformation with our customers by owning their end-to-end value journey. You are their trusted technology & business advisor, helping organisations achieve their strategic goals and realize significant value using the company Process Intelligence Platform. A Value Engineer has full responsibility for the end-to-end value journey of our customers – landing, expanding, adopting and renewing.
Responsibilities include:
- Translating customers’ objectives into value assessments or proof-of-value projects.
- Helping organisations understand where the company fits into their IT landscape and AI strategy.
- Building specific business cases and demos.
- Running value workshops.
- Engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements.
Your skillset combines a strong understanding of technology at both strategic and practical levels with consulting skills around strategic thinking and program management.
The work you’ll do:
- Identify & Frame Value: Discover and translate customers’ strategic priorities into high-impact use cases.
- Advise organisations on how the company platform fits into their existing IT landscape and AI strategy.
- Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers.
- Use hands-on tech skills (SQL/Python) to build out (AI) prototypes to bring the company platform to life for new audiences.
- Communicate the value opportunity and strategic roadmap to C-Level executives.
Realize Value:
- Facilitate business value workshops and use the company to identify and qualify opportunities for process enhancement.
- Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives.
- Present results and realized value to senior management and C-level executives.
Scale Value:
- Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing.
- Build a strategic expansion roadmap for customers embedding the company Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion.
- Provide feedback to our product development teams to enhance the company platform and Apps based on new use cases.
The qualifications you need:
- Good knowledge of Business Software / SaaS applications (e.g. SAP).
- Hands-on SQL and/or Python skills.
- Experience in collaborating with IT teams.
- Experience developing dashboards and automations in tools like PowerBI or RPA.
- Knowledge of and experience with AI-powered solutions.
Live for Customer Value:
- Experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment.
- Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy.
- Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
Process Improvement & Value Realization:
- Experience in identifying use cases for business process improvement and deploying improvement measures.
- Being a change agent and training users/process owners to realize value.
Project Management:
- Experience in planning and managing project scopes, expectations and timelines.
- You will manage multiple projects across your aligned accounts that will be at different parts of the value journey.
- Also, you will leverage partners from the company Ecosystem wherever possible.
Executive Stakeholder Management:
- Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally.
- Excellent communication and presentation skills in English and sovereign appearance.
Business Domain Expertise:
- Understanding of the Finance and/or Supply Chain domain as well as strategic transformation initiatives (e.g. Shared Services Transformation or System Transformation).
Industry Expertise:
- Ideally expertise in one or more industries (e.g. Manufacturing, Automotive, Consumer, Retail, Pharmaceuticals, Chemicals) and the ability to develop a deep understanding of industry trends and strategic opportunities.
Degree:
- Engineering, Computer Science, Mathematics, Business Analytics or a comparable technical degree.
What the company can offer you:
- Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI-driven business operations.
- Ownership from Day 1: Every full-time
Senior Value Engineer (SC Cleared) employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Value Engineer (SC Cleared)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like United States Digital Space LLC!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Value Engineer (SC Cleared) at United States Digital Space LLC.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like United States Digital Space LLC.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Value Engineer (SC Cleared) at United States Digital Space LLC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Value Engineer (SC Cleared)
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at United States Digital Space LLC, 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 United States Digital Space LLC. 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 United States Digital Space LLC
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at United States Digital Space LLC!
✨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.