Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program
HybridRaleigh, North Carolina, United States
Job Summary
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, aligning solutions with their AI strategy. Prototype and develop AI solutions tailored to customer needs, including traditional machine learning and LLM-based solutions. Execute proof projects showcasing the value of Celonis Process Intelligence within customers' strategies and challenges. Develop and modify Celonis data models using SQL and analyses using PQL to create compelling prototypes that address customer pain points. Lead proof-of-concept projects within the platform to demonstrate tangible value. Collaborate with customers and partners to design and build Celonis solutions ensuring a positive return on investment. Establish strong, trusted advisor relationships with customers through technical expertise 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. 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.
Required Qualifications
- 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
- 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
Desired Qualifications
- 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
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