BC sector-O and G-Data Architect-SM

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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 2–3 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.

2–3 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).

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