Data Management Manager
Wood is hiring a Data Management Manager in Houston, United States. Level rates it ; you can apply on Wood.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classifies it as a senior role.
- Level lists 988 other open roles at Wood.
- The role was posted in the last few days.
AI in this role
Wood Group is recruiting for a Senior Data Manager to join its US business unit in Houston, TX.
#LI-Onsite
The Role
The Senior Data Manager is responsible for overseeing the data management function across the organization and provide support to Capital Project Execution. This role ensures data integrity, security, and accessibility while supporting strategic data governance through data maturity and analytics. The Senior Data Manager leads a team of data professionals and collaborates with cross-functional departments to align data initiatives with business and project goals.
Our Clients and Projects
Wood’s Operations business delivers solutions to an ever-broadening range of clients across the energy and materials industries globally. We deliver operations, maintenance, modifications, brownfield engineering, asset optimization and management, supporting our clients through the asset lifecycle. We are focused on developing strategic relationships with our clients, providing solutions that deliver efficiency, integrity and reliability.
What we can offer
- Meaningful and interesting projects delivered to leaders of industry across Operations Americas sector
- Flexible working arrangements that balance client, team and individual needs, offering onsite working
- 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
Key Responsibilities
- Develop and implement data management strategies aligned with organizational objectives.
- Experience in engineering project lifecycle and project data management practices for EPC (Engineering, Procurement, Construction) projects preferably for the nuclear industry.
- Lead, mentor, and manage a team of data analysts, engineers, and stewards.
- Establish and enforce data governance policies and standards across organization and projects.
- Oversee project timelines, deliverables, and performance metrics.
- Monitor data quality and implement processes for data cleansing and validation.
- Conduct regular audits to ensure accuracy, consistency and maturity of data.
- Facilitate the setup and configuration of the data repositories to meet project information requirements.
- Coordinate with Information Management and discipline leads in the definition of applications to be used and data to be generated, collected, and disseminated.
- Manage the data interfaces between engineering applications and data repositories across internal and external locations, as appropriate.
- Responsible for developing execution plans to include data management plans, information handover specifications, instructions to suppliers, etc., work processes and other key deliverables to meet project requirements.
- Oversee and coordinate data management activities including configuration, analytics, and cleanup as required to ensure accurate consistent data is available through project’s lifecycle into construction, commissioning and operations.
- Train and support project teams in the use of data management tools for equipment list development and reporting.
- Manage the project close out and shutdown for the data management systems and applications.
- Oversee the implementation and maintenance of data platforms and tools.
- Evaluate and recommend new technologies to improve the data management function.
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.
- 10+ years of experience in data management, with a strong focus on data analytics, maintenance, mining, modeling, and warehousing.
- Specialized expertise in Electronic Content Management (ECM) systems, Computer-Aided Design (CAD) tools, engineering industry standards and specifications, and engineering and construction workflows.
- Advanced understanding of the Software Development Lifecycle (SDLC) and/or database management and administration.
- Proficient in all aspects of data management, including data analysis, conversion, and master data management, using tools such as SQL or PL/SQL, BI tools like Power BI.
Strong leadership skills directing cross-functional team to deliver data management requirements per contractual requirements.
How we rate this
Data Management Manager at Wood rates 34 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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