Senior Data and GenAI Lead

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

Wood is recruiting for a Senior Data and GenAI Lead to join its Digital Consulting business focusing on DataOps and GenAI business driving GenAI-powered innovation and enhancing both client delivery and business growth. This opportunity is Hybrid Houston, Texas.

 #LI-Hybrid 

 

The Role

The Senior Data and GenAI Lead embedded within a dedicated data operations and digital asset management team, you will work closely with Digital Consulting, Operations, and Project teams to develop and deploy solutions that meet client needs around data operations, governance, standards, data structuring, architecture development, dashboarding and reporting, leveraging AI solutions to enable visualization, optimized work processes, decision support and workflow automation etc.

Our Clients and Projects 

Designing the future. Transforming the world.

Our Digital Consulting group empowers our clients by designing digital strategies and integrating solutions that drive advancements and value across the asset lifecycle. We work with our clients to design their digital transformation strategy, ensuring their digital ecosystem drives tangible outcomes. Importantly, our first-hand knowledge of industrial sectors and the assets within them means we're able to implement the digital strategy effectively too.

What we can offer

• Meaningful and interesting projects delivered to leaders of industry across Energy Sector
• Flexible working arrangements that balance client, team and individual needs. This opportunity is Hybrid Houston, Texas.
• 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

Typical responsibilities

• Lead the design, development, and deployment of AI-driven solutions, ensuring scalability and business value.
• Own the end-to-end AI solution lifecycle, from ideation to documentation, coding, testing, and deployment.
• Work hands-on with LLMs, machine learning models, and AI automation tools to solve real-world industry challenges
• Continuously improve AI models through fine-tuning, retraining, and user feedback integration.
• Engage directly with clients and internal stakeholders to understand pain points and identify high-value AI opportunities.
• Drive GenAI adoption across Wood’s business units, helping teams understand and apply AI to their workflows.
• Partner with regional project teams and consulting units to ensure AI solutions align with operational goals.
• Assist in managing relationships with supporting teams, vendors, and technology partners.
• Keep up with emerging AI trends and technologies, ensuring Wood remains at the forefront of GenAI adoption.
• Contribute to the evolution of DataOps and GenAI best practices, shaping how AI is embedded in engineering and industrial projects.
• Collaborate with internal teams to develop AI governance, ethics, and risk management frameworks.

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: 

• A bachelor’s or master’s degree in engineering, Computer Science, Computer Engineering or equivalent technical discipline with an engineering background
• Minimum of 10 years of experience delivering digital solutions in Energy Sector or related field industries
• Deep knowledge of data management solutions and data architecture, data processing, analytics and IoT systems, with strong capabilities across a range of technologies
• Python, including Pandas, API development, machine learning including regression models, scikit-learn, TensorFlow. 
• GenAI, including natural language processing, RAG and LLM reasoning / prompting.  
• Data wrangling and data ingestion from a range of data sources including, SAP, SharePoint and Snowflake as well as unstructured data such as documents, spreadsheets and drawings. 
• Data integration, including use of LLM API's to create content, set up and management of vector databases and development of retrieval pipelines. 
• Experience of implementing successful solutions on AWS, Microsoft cloud services or Databricks, MS Power BI, UI frameworks such as JavaScript-based frameworks. 
• Technical troubleshooting and problem-solving attributes should include:   
  • Highly motivated, taking ownership to consistently deliver on commitments. 
  • Excellent communication and stakeholder management skills. 
  • Curious with the ability to ask the right questions and assimilate information from a variety of sources to quickly demonstrate an understanding of your customers business processes, pain points and needs. 
  • A proven track record in the end-to-end delivery of impactful AI solutions. 
• Ability to thrive when working as part of a global team. 
• Must be US Citizen, or authorized to work lawfully in the US, without sponsorship from Wood.

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.