EOI Solution Consultant

Job Description

Remarkable people, trusted by clients to design and advance the world.

Wood wishes for potential Solution Consultants to Express an Interest to expand our Intelligent Asset Solutions team in St John’s. The roles will form part of our maintAI solution initiative. Although hybrid arrangements can be agreed on, the role has in-office presence requirements for Wood’s office in St Johns.

We are looking for individuals who get a kick out of working closely both with our clients and with our best business, digital and technical domain experts, to drive real optimisation outcomes for energy and material markets.

What We Can Offer

• Meaningful and interesting projects delivered to leaders of industry across oil & gas and process industry projects.
• Flexible working arrangements that balance client, team and individual needs.
• Commitment to Diversity and Inclusion across our business with employee networks committed to giving all employees a voice.
• Competitive salary with regular salary reviews to ensure we are rewarding at the right level in line with the market.
• Flexible benefits package that can be adapted to suit your lifestyle.
• Commitment to continued professional development through development plans tailored to individual needs and interests.
• Global connections with leading industry experts around the world who are shaping the standards of our profession.

Responsibilities

About the role:

• A major part of the role is providing engineering recommendations to our clients based on outcome of our maintAI solution and walk them through the recommended changes based on technical arguments and business requirements.
• You will work within a client project team of 5-8 business, technical and digital domain experts focusing on rapid and sustained value delivery in optimisation of maintenance, production, reliability, inventory and emissions.
• This includes end-to-end consulting from business casing, dynamic asset management system design, AI model generation and solution deployments for multiple areas.
• Our final artefacts focus on offering technical and digital engineering solutions, including artificial intelligence and engineering models, to enhance operational efficiency.
• To maximise impact, you will use your proven change and transformation skillset to drive the change adoption and embedding of these engineering solutions within our client’s business.
• Through implementation, you will also help to develop proven Wood toolkit to expand our collective knowledge base to better help our clients.
• Demonstrate understanding of the client's overall problem and quickly generate frameworks or solutions for the team.
• Discuss issues beyond immediate scope of the project and build lasting relationships.
• Test and understand client's organisational dynamics (using surveys, focus interviews and other consulting tools) and adapt behaviour accordingly.
• Analyse data (e.g. engineering reports, drawings, surveys, products) leveraging data analytics tools with minimal supervision from senior colleagues.

In our recruitment and hiring process at Wood Canada Ltd., we want to emphasize that we do not employ artificial intelligence or automated systems to screen or select candidates. We are committed to ensuring fairness and inclusivity by relying on the expertise from a team of professional recruiters for the application reviews, interviews, and qualification assessments.

Qualifications

What makes you remarkable?

At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role, we encourage you to apply. It will take all of us working together to deliver solutions to the world’s most critical challenges.

Expected

• Advanced degree in engineering is essential (preferred to be mechanical engineering, chemical engineering, or electrical engineering).
• Further education in a digital specialism will be advantageous.
• Ideally a minimum 3 years of industry work experience providing advanced engineering services and solutions, or consulting experience focused on operations, and / or growth initiatives.
• Demonstrated deep technical and data analysis expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues.
• Demonstrated aptitude for analytical and conceptual problem solving comfort with quantitative analysis and accounting principles.
• Ability to understand the perspectives of varied stakeholder groups and comfortable with working at multiple levels within an organisation.
• Ability to communicate complex ideas effectively, both verbally and in writing.
• Experience in AI and machine learning is a requirement.
• Ability to work in a fast-paced team and international environment as a proven team player.
• Entrepreneurial drive and demonstrated ability to achieve stretch goals in any environment.
• Passion for solutioning, customer success and support.

Experience With The Following Highly Desirable

• CMMS systems such as SAP or Maximo.
• Languages programming: Python, GO, C++, Java, Scala, JavaScript.
• Data Science and machine learning.
• Cloud: Microsoft Azure.