Lead Seadrill's Data, Business Intelligence, and Digital Innovation function - transforming operational and corporate data into decision-ready insight and championing AI, automation, and modern data platform adoption across the business as part of the ISIT strategy. This role owns the analytics platform roadmap and governs data and digital-innovation delivery executed largely through outsourced MSP vendor and external resources. The Manager partners closely with business function leaders across the enterprise to prioritize the highest-value analytics outcomes, ensures robust data governance through Microsoft Purview, and sets the strategic direction for emerging technologies including Microsoft Fabric, Foundry AI framework, and Azure AI/ML capabilities.
SAFETY AT SEADRILL
Our goal is to ensure that 'nobody gets hurt'' whilst performing their job. Everyone at Seadrill has a part to play in meeting our safety commitment.
Through strong leadership and personal responsibility from all employees, we take a systematic approach to identifying, managing and preventing the hazards involved in our day to day operations.
Nothing is more important to us than the health, safety and security of our workforce and the communities in which we operate and behaving responsibly towards our shared environment.
We are vigilant, disciplined and always looking out for one another. We have developed and embedded a strong safety culture onshore and offshore, fostered by all employees, who each have a personal responsibility and the authority to put an immediate stop to the job if they believe it to be unsafe.
Everyone at Seadrill is accountable for helping to build this culture of care. This includes:
SEADRILL BEHAVIORAL FRAMEWORK
In Seadrill, setting the standard is not just about what we deliver, but how we deliver it. We co-created our Behavioral Framework with our employees, where we identified four key competencies that define our culture and help us to live our values. Our behaviors are embedded in the way we work and support and guide us day to day:
DIVERSITY
This position is also for people with disabilities.
We recognize that our people are key to helping us to achieve our vision, so we have fostered a culture that encourages, supports and celebrates diversity of all kinds. It fuels our innovation and connects us closer to our customers and the communities we operate in.
JOIN SEADRILL
We value our people and want to retain them. So, we offer a competitive package built around an attractive base salary and a range of benefits tailored to your location.
Join Seadrill. Own the Opportunity.
Minimum Requirements
Bachelor's degree in Data, Computer Science, or related field.
Preferred
Certifications in Power BI (PL-300), Microsoft Fabric Analytics Engineer (DP-600), Azure Data Engineer (DP-203), Oracle Fusion Data Intelligence, or equivalent Microsoft/Oracle data platform certifications.
Own the BI/analytics platform (Power BI, Oracle Fusion Data Intelligence, and Microsoft Fabric) and the data products serving Finance, HR, Supply Chain, and offshore Operations; oversee migration from legacy SQL Data Warehouse to Microsoft Fabric Lakehouse architecture.
Execute the data and AI roadmap, including prioritized AI and automation use cases leveraging Microsoft Foundry AI framework, Azure AI/ML, and cognitive services; translate business strategy from Finance, HR, Supply Chain, and Operations into a structured analytics delivery plan.
Direct delivery of reporting, dashboards, and analytics - performed largely by MSP vendor and external resources - with the Data Platform Lead setting technical standards; ensure delivery follows Agile/DevOps practices and meets agreed quality and governance benchmarks.
Establish data governance, data quality, and architecture standards in partnership with the Data Platform Lead; implement and maintain Microsoft Purview for data cataloguing, lineage tracking, classification, and compliance across all enterprise data assets.
Identify and pilot emerging technologies (AI, automation, Gen AI, advanced analytics) using Microsoft Foundry AI framework and Azure AI services; evaluate business cases and scale successful proofs-of-concept into production solutions.
Partner with business functions to prioritize the highest-value analytics and measure realized benefit.
Manage the delivery pipeline, intake prioritization, and stakeholder expectations across MSP vendor and external resources; effectively collaborate cross-functionally with business managers and BU leaders to align analytics investments with business outcomes.
Knowledge Skills and Experience
Essential
Desired
Oil & gas or offshore drilling domain experience, with familiarity in Finance, HR, Supply Chain, and offshore operations data and reporting.
Familiarity with Oracle Fusion ERP (financials, EPM, SCM, HCM) and Maximo as enterprise data sources.
Hands-on or architectural experience with Microsoft Fabric (Lakehouse, OneLake, Data Factory, Semantic Models), Azure data services, and Microsoft Foundry AI framework.
Statistical analysis, data science, or AI/ML deployment experience; understanding of Kimball methodology.
Oracle, Microsoft, or Cognos certification; PMP or similar programme management qualification.
Own the BI/analytics platform (Power BI, Oracle Fusion Data Intelligence, and Microsoft Fabric) and the data products serving Finance, HR, Supply Chain, and offshore Operations; oversee migration from legacy SQL Data Warehouse to Microsoft Fabric Lakehouse architecture.
Execute the data and AI roadmap, including prioritized AI and automation use cases leveraging Microsoft Foundry AI framework, Azure AI/ML, and cognitive services; translate business strategy from Finance, HR, Supply Chain, and Operations into a structured analytics delivery plan.
Direct delivery of reporting, dashboards, and analytics - performed largely by MSP vendor and external resources - with the Data Platform Lead setting technical standards; ensure delivery follows Agile/DevOps practices and meets agreed quality and governance benchmarks.
Establish data governance, data quality, and architecture standards in partnership with the Data Platform Lead; implement and maintain Microsoft Purview for data cataloguing, lineage tracking, classification, and compliance across all enterprise data assets.
Identify and pilot emerging technologies (AI, automation, Gen AI, advanced analytics) using Microsoft Foundry AI framework and Azure AI services; evaluate business cases and scale successful proofs-of-concept into production solutions.
Partner with business functions to prioritize the highest-value analytics and measure realized benefit.
Manage the delivery pipeline, intake prioritization, and stakeholder expectations across MSP vendor and external resources; effectively collaborate cross-functionally with business managers and BU leaders to align analytics investments with business outcomes.
Knowledge Skills and Experience
Essential
Desired