Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program
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About the Role
Celonis 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: Global Value Engineering Center of Excellence
Become an integral part of our international, diverse, and dynamic Global Value Engineering Center of Excellence. Our Value Engineers are trusted advisors who operate at the intersection of technology and business, partnering with sales and customers to develop compelling Celonis-powered solutions and prototypes that address critical business challenges.
We foster a fast-paced, collaborative environment built on trust, continuous learning, and mutual growth through coaching and mentorship.
The Role: Launch Your Enterprise Software Career
Kickstart your career in enterprise software through our immersive 12-month Orbit Program. This program offers a unique blend of client engagements, dedicated mentorship, and a strong team culture where collaboration and shared success are paramount. You'll leverage your technical background to develop essential Value Engineering skills, build lasting client relationships, and establish yourself as a trusted advisor, paving the way for significant career growth within Celonis.
The Orbit Program is structured into classes and cohorts, with start dates organized twice a year. You'll likely join a cohort with a summer start date (June/July) or a winter start date (January/February), allowing you to grow and develop alongside your cohort peers.
Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training. You will gain expertise in:
- Building and coding within the Celonis platform (SQL and PQL)
- Scoping business and technical requirements
- Effectively handling objections
- Developing industry domain knowledge
- Delivering impactful presentations and demos
- Understanding value selling and realization
- Managing customer accounts
What You'll Do:
- Consult with customers using systems analysis to identify core business challenges and determine how Celonis can drive impactful solutions.
- Present the Celonis AI value proposition and vision to customers and align our solutions with their AI strategy.
- Prototype and develop AI solutions tailored to customer needs, including both traditional machine learning and LLM-based solutions.
- Execute proof projects showcasing the value of Celonis Process Intelligence in the context of our customers’ strategy, business initiatives, and challenges
- Develop and modify Celonis data models using SQL and analyses using PQL (Celonis proprietary language) to create compelling prototypes that address customer pain points.
- Lead proof-of-concept projects within the Celonis platform to demonstrate tangible value aligned with customer strategies and needs.
- Collaborate with customers and partners to design and build Celonis solutions that ensure a positive return on investment.
- Establish strong, trusted advisor relationships with customers through your technical expertise, product knowledge, and business acumen.
Articulate and quantify strategic business value for customers, delivering impactful presentations to senior executives.
- Partner with the implementation services team to ensure successful value realization for customers.
- Identify opportunities for innovation and collaborate with Product & Engineering teams to influence future product development.
- Contribute to the Global Value Engineering Center of Excellence by creating reusable collateral, best practices, and tools.
What You Need:
- Bachelor’s degree in Business, Engineering, Data Analytics, Economics, Computer Science, Mathematics, or a related STEM field.
- Extensive internship experience or 1-3 years of full-time work experience.
- Hands-on experience with at least one of the following: SQL, Microsoft Power BI, Tableau, or another data analytics solution.
- A strong passion for technology, big data, and its transformative potential.
- Excellent analytical and creative problem-solving skills, with the ability to apply technology to business challenges.
- A customer-centric mindset with a focus on delivering value.
- The ability to build relationships with senior management and influence decision-making.
- Confidence in presenting to diverse audiences.
- A proactive approach to problem-solving, with a willingness to learn from mistakes.
- Curiosity, self-motivation, a commitment to continuous learning, and the desire to thrive in a fast-paced, high-growth environment.
- Strong organizational skills with the ability to prioritize and execute on deadlines.
- Excellent communication skills and fluency in English.
Bonus Points:
- GPA of 3.6 or higher.
- Degree in Industrial Engineering or a similar field.
- Degrees combining technical (e.g., Computer Science, Data Science) and business (e.g., Economics, Marketing) skills.
- Experience with Python and Machine Learning.
- Customer-facing, customer success/service, or sales experience.
- Experience with Proof of Concept projects.
- Supply Chain process experience (Procurement, Order Management, Inventory Management, Production).
- Finance process experience (Accounts Payable, Accounts Receivable).
- Experience modeling ROI and TCO for business case justification.
- Experience with SAP and/or Oracle.
- Fluency in French and/or Spanish.
Visa sponsorship is not offered for this role.
Total compensation package will include base salary + bonus/commission + equity + benefits (health, dental, life, 401k, and paid time off). Please note that the base salary range is a guideline, and that the actual total compensation offer will be determined based on various factors, includin
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