Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program
$90,000–$95,000 year
On-siteNew York, 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, including traditional machine learning and LLM-based approaches, tailored to specific customer needs. Execute proof projects showcasing the value of Celonis Process Intelligence within customers' strategies and challenges. Develop and modify Celonis data models using SQL and PQL to create compelling prototypes that address pain points. Lead proof-of-concept projects within the Celonis platform to demonstrate tangible value and collaborate with partners to design solutions ensuring a positive return on investment. Establish strong, trusted advisor relationships with customers through technical expertise and articulate strategic business value for senior executives. Partner with the implementation services team to ensure successful value realization and contribute to the Global Value Engineering Center of Excellence by creating reusable collateral and best practices.
Required Qualifications
- 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
- 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 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
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