The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community. The Role We are looking for a Principal Consultant to join our APM Professional Services team. You will lead the implementation of predictive maintenance and analytics solutions that help industrial clients improve asset reliability, reduce downtime, and optimize maintenance strategies. This is a highly customer-facing role requiring a combination of engineering expertise, data analytics, and consulting leadership. Your Impact Delivery consulting services including solution design, implementation, training, and advisory, primarily for Mtell (with exposure to Fidelis and ProMV). Lead end-to-end deployment of predictive maintenance solutions, from data onboarding and modeling to production rollout and adoption. Design and integrate data-driven decision systems using industrial data sources (e.g., historians, databases). Translate asset knowledge and data analysis into effective monitoring strategies to detect anomalies and predict failures. Collaborate with product management and client teams to deliver projects on time, scope, and budget. Advise customers on embedding analytics into daily operations to drive measurable business impact. Continuously improve solution performance by refining models and increasing trust in analytics outputs. Build strong client relationships and identify opportunities for service expansion What You'll Need Experience 8–10 years in industrial environments (oil & gas, chemicals, mining) Background in Mechanical, Chemical, Electrical, or Industrial Engineering Experience in reliability, maintenance, or operations Data & Analytics Strong experience with industrial time-series data (data quality, signal validation, pattern recognition) Experience with predictive or condition monitoring models Reliability Knowledge Understanding of failure modes, maintenance strategies, and root cause analysis (FMEA) Knowledge of common industrial assets: rotating and static equipment Technology Experience with industrial data systems (PI, IP21, OPC, SAP, etc.) Familiarity with APM, analytics platforms, or Python-based tools Consulting Skills Ability to translate analytics into business value and operational actions Strong customer engagement and communication skills Nice to Have Experience with APM or predictive maintenance platforms (e.g., Mtell) Knowledge of alerting or decision-support systems Programming (Python, SQL) Key Attributes Spanish, English language required, Portuguese a plus Strong problem-solving and analytical mindset Self-driven and adaptable in fast-paced environments Collaborative, customer-focused, and results-oriented *****Your resume must be in English for further review****** #LI-WJ1 AspenTech is a global software leader helping industries meet the increasing demand for resources from a rapidly growing population in a profitable and sustainable manner. Our Digital Grid Management software suite, including AspenTech OSI products, helps power and utilities companies achieve superior real-time control, optimization and management for exceptional performance of complex energy networks. If you're looking to make a difference every day and push the limits of performance, AspenTech is doing things no one else thought was possible. As a leading industrial software partner, we help companies all over the world run safer, greener, longer and faster. With over 3700 employees and more than 60 global locations, AspenTech is meeting today's sustainability and business challenges head-on with unmatched expertise, cutting-edge AI-powered technology and a passion to innovate. AspenTech is an Equal Opportunity/Affirmative Action employer. AspenTech does not discriminate against employees or applicants on the basis of age, race, color, religion, creed, ancestry, sex, sexual orientation, gender identity or expression, pregnancy or related conditions, marital status, familial status, national origin, disability, medical condition, genetic information, citizenship, military service or protected Veteran Status or any other basis protected by applicable federal, state, or local law. Reasonable Accommodation: We will provide reasonable accommodations to qualified individuals who have a disability or sincere religious reasons to request accommodation, when necessary to enable the individual to participate in the job application or interview process. If you wish to request an accommodation, please contact us at recruiting@aspentech.com. GDPR Privacy Notice: AspenTech collects a range of personal information during the recruitment process. This may include the following personal or special categories of personal data: recruitment information such as your application form and resume, references, qualifications and membership of any professional bodies and details of any pre-employment assessments; your contact details and date of birth; your gender; your marital status and family details; your identification documents including passport and driver's license and information in relation to your immigration status and right to work with us; information about your contract of employment (or services) including start and end dates of employment, role and location, working hours, details of promotion, salary (including details of previous remuneration), pension, benefits, and holiday entitlement; your racial or ethnic origin; any criminal convictions and offences. AspenTech Security and Privacy Policy Plan Participants Enrolled in the AspenTech US Medical Plans: The Transparency in Coverage Final Rules require certain group health plans to disclose on a public website information regarding in-network provider rates and historical out-of-network allowed amounts and billed charges for covered items and services in two separate machine-readable files (MRF’s). The MRF’s for the benefit package options under AspenTech’s US Employee Benefit Plan are linked below: Transparency in Coverage Rule - Machine Readable Files Transparency In Coverage Rule And Consolidated Appropriations Act Overview and FAQS

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