Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program

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 Engineering, Data Analytics, Industrial Engineering, 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 Computer Science or Data Science 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.