BC-Sector-OandG-Digital Twin Specailist -SM at EY

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Digital Twin, Oil & Gas, IoT, IIoT, Cloud Architecture, Data Science, Systems Engineering, SCADA, Simulation, AI/ML, Asset Management, Process Optimization, Stakeholder Management, Enterprise Architecture, Cybersecurity, Data Governance

Industry

Professional Services

Description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Job Description: Senior Manager – Digital Twin Expert (Oil & Gas) EY Global Delivery Services (GDS) Role Overview The Senior Manager – Digital Twin Expert (Oil & Gas) will lead the strategy, design, development, and deployment of enterprise-grade Digital Twin solutions for global Oil & Gas clients. The role requires a seasoned technology leader with 15+ years of overall experience, including 2–3 years of proven experience in leading and implementing Digital Twin programs, and a minimum of 3 years of hands-on exposure to Oil & Gas operations. The candidate will work closely with business leaders, engineering groups, data teams, and platform architects to drive digital transformation initiatives using cutting-edge Digital Twin frameworks, IoT/IIoT platforms, and AI/ML-driven operational insights. Key Responsibilities Digital Twin Strategy & Architecture Develop enterprise-wide Digital Twin architecture blueprints, reference models, and design patterns tailored to O&G operational needs. Architect Digital Twin ecosystems integrating IoT/IIoT platforms, SCADA, historian systems, edge computing, and cloud-native technologies. Design Digital Twin models for assets, processes, wells, facilities, pipelines, and production systems. Define standards for data ingestion, real time streaming, time series integration, simulation frameworks, and 3D/physics-based modeling. Ensure solutions adhere to principles of cybersecurity, data governance, interoperability, and scalability. Solution Delivery & Technical Leadership Lead multi-disciplinary teams across systems engineering, IoT, cloud engineering, data science, and visualization. Oversee end-to-end Digital Twin implementation life cycle—from requirements gathering to design, development, integration, testing, deployment, and handover. Provide hands-on guidance on model design, simulation logic, KPI frameworks, and integration with operational systems. Conduct architecture reviews ensuring alignment with enterprise architecture and EY quality standards. Work with engineering teams to integrate Digital Twins with ERP, CMMS, field operations platforms, and AI/ML models. Oil & Gas Domain Enablement Build Digital Twin solutions for upstream, midstream, and downstream including: Production optimization Facility operations and energy management Subsurface and well performance modeling Pipeline flow assurance and network optimization Predictive maintenance & asset reliability HSE and remote operations Work with data types such as sensor/IoT data, SCADA, DCS, historian logs, simulation outputs, and engineering metadata. Leverage O&G platforms such as OSDU, AVEVA, AspenTech, Siemens, or Hexagon. Enable clients in adopting next-generation Digital Twin paradigms: process twins, asset twins, system twins, and operational twins. Client Advisory & Stakeholder Management Act as a trusted advisor to CXO and senior leadership on Digital Twin strategy and roadmap execution. Translate complex engineering/operations challenges into scalable Digital Twin solutions and value propositions. Lead client workshops, architecture discussions, and cross-functional engagements. Support proposal development, commercial structuring, and Digital Twin thought leadership for global pursuits. Innovation, Optimization & Continuous Improvement Identify cross-domain opportunities to integrate Digital Twins into asset operations, maintenance, safety, and field automation. Drive creation of reusable components, accelerators, and frameworks to standardize Digital Twin delivery. Conduct Digital Twin maturity assessments and develop capability uplift programs. Stay current on emerging technologies—simulation engines, physics-based modelling, AI-driven twins, and digital thread concepts. Required Qualifications 15+ years of experience in Digital Twin, IoT/IIoT, advanced analytics, or systems engineering leadership roles. 2–3 years of proven experience implementing enterprise Digital Twin solutions. 3+ years of direct experience in Oil & Gas operations (upstream/midstream/downstream). Hands-on expertise in: Industrial IoT/IIoT platforms (Azure IoT, AWS IoT, AVEVA, PTC, Siemens, Schneider, etc.) SCADA, historian systems, real-time streaming data Simulation tools (Aspen HYSYS, OLGA, AFT, ANSYS, etc.) Cloud platforms (Azure/AWS/GCP) and microservices architectures Integration of sensor data, time-series analytics, and operational systems Demonstrated leadership in delivering large, multi-region projects with distributed teams. Strong stakeholder communication, presentation, and client advisory skills. Preferred Skills Experience with engineering & simulation-based Digital Twins (process, equipment, facility). Knowledge of OSDU, reservoir and production systems, flow assurance, or FPSO operations. Exposure to Digital Thread and model-based systems engineering (MBSE). Certifications in IoT, cloud, Digital Twin platforms, or enterprise architecture (TOGAF). Familiarity with AI/ML enhanced Digital Twins, predictive modeling, and operational intelligence. Prior consulting experience, ideally within Big 4 environments. Understanding of DevOps, DataOps, edge computing, and containerized deployments (Docker/Kubernetes). EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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Responsibilities

Lead the strategy, design, and deployment of enterprise-grade Digital Twin solutions for global Oil & Gas clients. Manage multi-disciplinary teams to integrate IoT, cloud, and AI/ML technologies into operational systems.