Digital Twin Systems Lead

Wood Group is looking for a Digital Twin /3DV Systems Lead to support our Data Management Consultancy Team. This position will be based out of Houston, TX. The Digital Twin Systems Lead supports Wood’s digital asset and digital twin projects. The role supports both our clients and internal team, acting as our subject matter expert in 3DV toolsets and systems, including AVEVA engineering and design systems (E3D/PDMS) and Hexagon digital twin systems (Hexagon SDx). The Digital Twin / 3DV Systems Lead may act as the Project Manager, supporting our clients and internal team, and acting as their subject matter expert in information and data management, including 3DV toolsets and digital asset projects. They are responsible for developing and transitioning key digital asset projects across the asset lifecycle with reference to their systems, workflows, governance and data hierarchy, and as appropriate developing governance, standards, processes and workflows to support this. 

Principal accountabilities include:

• Leading Digital Twin and 3DV System projects
• Defining requirements to ensure full alignment with our clients when proposing digital, data or 3DV solutions
• Providing support and guidance to client’s with reference to their current and future digital, data and 3DV needs
• Defining scopes for new and / or improved systems, toolsets, processes and workflows in the digital twin space
• Developing and supporting plans for data improvement and migration, including managing and supporting identified gaps in data quality
• Evaluating digital twin (physical) project(s) across their lifecycle to ensure delivery against business and client expectations and all applicable OKRs / KPIs
• Assessing technologies and vendors and providing proof of concepts
• Contributing to commercial bids, tenders and quotations
• Interfacing with potential clients to define and win new scopes of work
• Interfacing with existing clients to develop new business opportunities, improvement and growth
• Nurturing ongoing digital twin / 3DV Systems client relationships and suggesting continuous improvement
• Establishing Data Management Consultancy as the provider of choice within Wood for digital twin (physical) scopes
• Provide thought leadership on digital twin delivery and 3DV Systems

Strategic accountabilities include:

• Contributing to Data Management Consultancy Global Strategy
• Providing thought leadership in the digital space aligned to Wood’s Vision, Values and Behaviors

Skills development and training of digital twin / 3DV Systems team resources across the Data Management Consultancy business

Qualifications: 

• University Degree (bachelors or masters) in Computer Science or related discipline (or equivalent combination of qualifications and experience)

Job specific experience: 

• Minimum of 10 years of experience delivering digital solutions in Energy Sector or related field industries
• Minimum of 5 years experience delivering analytics/predictive analytics solutions and/or digital twins
• Experience in project management delivery
• Expert in stakeholder management with experience in managing challenging interfaces and developing strong customer relationships
• Experience of implementing successful project performance improvement activities and techniques for recovering poor performance

Areas of Expertise:

• Good knowledge of solution and data architecture, data processing, analytics and IoT systems, with strong capabilities across a range of technologies
• Demonstrable track record in delivering complex digital twin (physical) projects. This should include creation, testing, deploying and scaling digital twin solutions in the operations environment
• Specific experience in digital twins and asset performance management
• Able to identify and implement architecture best practices and standards
• Technical knowledge to required to lead system and solution mapping, scalability, availability and performance activities
• Good team leadership and people management skills
• Excellent analytical and problem solving skills
• Strong communication skills and the capability to communicate and work well with the leadership team, the business, as well as with specialists from related fields, including project managers, database developers, software engineers and data scientists
• Agile mindset and understands Scrum methodology (preferred)
• Excellent influencing and reasoning skills; good at conflict resolution and consensus building

IT Skills: 

• Strong working knowledge of OPC, ETL, IoT and related technologies
• Familiarity with Bentley, Aveva and / or Hexagon would be an advantage
• Strong understanding of solution and data architecture
• Data science skills advantageous

Personal Attributes & Capabilities:

• Demonstrably practice Wood’s Vision, Values and Behaviors and compliance with Ethics Policy
• Problem solver, with creative and adaptive problem solving skills
• Good communicator (able to translate complex problems into simple solutions)
• Collaborative (works well with stakeholders across the business)
• Has the ability to handle multiple tasks and meet tight deadlines
• Has creative and innovative problem solving skills
• Self-motivated and proactive – works effectively and responsibly without close supervision
• Good presentation skills and the ability to talk confidently around specialized subjects
• Able to identify sales development opportunities and work with G&D colleagues to prioritize and deliver results

Innovative, driving continuous improvement and adoption of technologies to enhance delivery

Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.com

Diversity Statement 

We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.

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