BC sector-O and G-Data Architect-SM

Job Description: Senior Manager Data Architect (Oil & Gas/ Manufacturing)

EY Global Delivery Services (GDS)

Role Overview

The Senior Manager Data Architect (Oil & Gas/ Manufacturing) will lead end to end data architecture strategy solution design and implementation for global Oil & Gas clients. This role requires a seasoned data architecture expert with 15 years of total IT experience including 23 years of domain-specific exposure in Oil & Gas (upstream midstream or downstream). The candidate will drive data modernization enterprise data platforms and advanced analytics adoption as part of large-scale digital transformation engagements.

Key Responsibilities

Data Architecture & Strategy

• Define enterprise grade data architecture blueprints reference models and design patterns for Oil & Gas clients.
• Architect data platforms leveraging cloud ecosystems (Azure AWS GCP) with strong focus on scalability security data quality and governance.
• Design logical and physical data models data flows and integration architectures aligned to Oil & Gas business processes.
• Establish architectural standards for master data metadata lineage ontologies and taxonomy frameworks.
• Incorporate emerging technologies such as AI/ML knowledge graphs IoT/SCADA data pipelines predictive analytics and industry frameworks like OSDU.

Solution Delivery & Technical Leadership

• Lead cross functional delivery teams across data engineering analytics integration and platform modernization.
• Oversee end to end data platform implementations ensuring architectural integrity performance and reliability.
• Conduct technical design reviews provide hands on guidance and ensure adherence to best practices and enterprise architecture guardrails.
• Partner with cloud application and domain teams to ensure seamless integration across enterprise systems.
• Drive high quality deliverables by ensuring robust testing validation and deployment practices.

Oil & Gas Domain Enablement

• Apply data architecture principles to Oil & Gas business domains including:
• Production operations
• Asset management
• Drilling and subsurface data
• Pipeline operations
• Refining and petrochemicals
• Architect data ingestion and harmonization of time-series geospatial subsurface and IoT data.
• Advise clients on adopting Oil & Gas industry data standards with a strong understanding of OSDU Data Platform and domain data models.

Stakeholder & Client Management

• Act as a senior advisor to client architecture leaders supporting C level stakeholders with data-driven strategies.
• Communicate architectural concepts to technical and non technical stakeholders with clarity.
• Manage vendor engagements and technology partners to ensure alignment to EY standards and client objectives.
• Contribute to proposals pursuit teams and thought leadership for Oil & Gas data transformation initiatives.

Optimization & Continuous Improvement

• Conduct architecture maturity assessments and define modernization roadmaps.
• Identify opportunities for performance optimization cost reduction and data lifecycle efficiency.
• Create reusable assets accelerators and frameworks to improve project delivery velocity across EY GDS teams.

Required Qualifications

• 15 years of overall experience in data architecture data engineering and enterprise data management.
• 23 years of hands on experience in Oil & Gas industry projects (upstream midstream or downstream).
• Proven experience designing and delivering large-scale cloud data platforms (Azure/AWS/GCP).

Strong expertise in:

• Data modeling (conceptual logical physical)
• Data integration & ETL/ELT pipelines
• Data governance and quality frameworks
• Time-series IoT and real time data platforms
• Experience with OSDU SCADA/IoT data geospatial datasets and subsurface data structures preferred.
• Strong leadership stakeholder management and client facing communication skills.
• Experience leading distributed global teams and working in multi vendor environments.

Preferred Skills

• Experience with Oil & Gas analytics platforms digital oilfield solutions and asset performance systems.
• Certification in cloud platforms (Azure AWS or GCP).
• Experience with AI/ML use cases applied to O&G operations and asset management.
• Understanding of DevOps/DataOps containerization and microservices architecture.
• Consulting experience in a global professional services environment (Big 4 experience is a plus).