Data Analytics Manager 90150

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.

•  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

• Minimum 10 years of experience in Data, BI, or analytics, including at least 3 years in a leadership or management capacity overseeing teams or delivery programmes.
• Strong technical foundation in Power BI, SQL, and data modeling concepts (star schema, DAX, tabular models); working knowledge of SSIS, SSRS/SSAS, and SQL/Oracle relational databases; understanding of SQL Data Warehousing and migration to cloud-native architectures.
• Demonstrated delivery of AI/automation or digital-innovation initiatives; strong understanding of Microsoft Fabric, Azure AI/ML, and Foundry AI framework capabilities with the ability to evaluate and guide technical decisions.
• Proven experience directing MSP vendor and outsourced/external delivery partners; ability to hold vendors accountable while maintaining constructive and effective working relationships.
• Ability to translate business strategy into a data and analytics roadmap; strong executive stakeholder management and communication skills, with experience partnering with Finance, HR, Supply Chain, and Operations function leaders.
• Strong data governance acumen; understanding of Microsoft Purview for data cataloguing, lineage, and compliance at enterprise scale.
• Ability to set and achieve aggressive goals; excellent analytical, report writing, and documentation skills; proficiency with MS Excel and Agile/DevOps delivery practices.

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.

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.