Product Strategy & Digital Roadmap
- Define product vision and roadmap for digital and AI solutions tailored to process industry needs
- Identify high-value use cases involving predictive analytics, digital twins, optimization, workflow automation, and LLM-based operator assistance
- Evaluate emerging technologies and data models(e.g., ML/AI, IIoT, cloud/edge, contextualized data) for applicability to customer problems
Industry Use Cases & AI Solutioning
- Understand pain points in operations, reliability, safety, energy, and workforce workflows
- Map workflows from OT to IT layers and integrate with automation, MES, data platforms, and enterprise systems
Pre-Sales & Customer Engagement
- Support sales and BD teams during customer engagements, RFP/RFI responses, demos, value pitching, and solution workshops
- Articulate digital value propositions and ROI to both technical and business stakeholders
- Gather customer requirements and translate to product specs and roadmap priorities
Cross-Functional Collaboration
- Work with engineers, data scientists, software architects, and delivery teams to align capabilities with market needs
- Collaborate with GTM, commercial, and marketing teams for pricing, packaging, and product positioning
- Support pilot projects and proof-of-value engagements
Implementation & Lifecycle Feedback
- Participate in PoC, pilot, and early rollout phases to validate workflows and performance
- Collect customer and delivery feedback to inform continuous enhancements
- Ensure AI model reliability, usability, and explainability considerations are incorporated into product evolution
Requirement
- Degree in Engineering (Chemical, Electrical, Control & Instrumentation, Industrial, Mechanical), Computer Science, Data/AI, or similar
- Minimum 8 years of experience in product management, solution consulting, digital transformation, OT/IT integration, or pre-sales roles.
- Experience in process industries such as Oil & Gas, Petrochemicals, Chemicals, Pharma, Water, Food & Beverage, or Energy Strong understanding of OT/IT convergence and industrial data workflows
- Awareness of AI/ML model lifecycle, training data needs, and performance evaluation (coding not required)
- Understanding of cloud, cybersecurity, digital architecture, and integration constraints in industrial environments
To ensure all applications are consolidated and processed through our central Applicant Tracking System (ATS), candidates are requested to submit their applications exclusively via the link below:
By responding to Yokogawa's advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.
We regret to inform that only shortlisted candidates will be notified.
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
