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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 workplace (Big 4 experience is a plus).

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