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

Celonis•New York, NY

7d•$90,000 - $95,000•Hybrid

About The Position

Celonis is seeking an Associate Value Engineer to join their 12-month Orbit Program, designed to launch careers in enterprise software. This immersive program combines client engagements, mentorship, and a collaborative team culture. Value Engineers act as trusted advisors, bridging technology and business to create Celonis-powered solutions and prototypes for critical business challenges. The program includes comprehensive onboarding, hands-on customer engagement experience, and targeted training in areas such as building on the Celonis platform (SQL and PQL), scoping requirements, delivering presentations, and understanding value selling. The role focuses on leveraging technical backgrounds to develop essential Value Engineering skills and build client relationships, with opportunities for significant career growth within Celonis.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.