At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Role: Technical Product Manager -Oil and Gas
Preferred Experience: 10+ years

Preferred Qualifications

• Bachelor’s degree in computer science, engineering, or a related field. A master’s degree or MBA with a technology specialization is preferred.
• At least 6 years of experience in product management, with a focus on digital products in the Oil & Gas industry.
• Proven track record of developing and managing successful digital products that incorporate AI and data analytics to solve Oil & Gas industry specific challenges.
• In depth knowledge of Oil & Gas operations, including exploration & production, refining, distribution and petrochemicals.
• Proficiency with industry-standard data sources and systems, such as PI, SAP, LIMS, Maximo, SCADA and HYSYS.
• Familiarity with Azure cloud services, big data processing tools (e.g., Databricks), data visualization tools (e.g. Power BI) and programming languages such as Python and SQL.
• Exceptional communication and leadership abilities, with a track record of building consensus across diverse stakeholder groups.
• Willingness to travel to the Middle East region based on business needs

Responsibilities

• Develop and execute a comprehensive vision and strategy that incorporates AI and data to meet the evolving needs of the Oil & Gas industry.
• Lead the ideation process to identify and conceptualize use cases where AI & Data can significantly impact the Oil & Gas industry.
• Create models for calculating the value of use cases, incorporating factors such as cost savings, revenue generation, risk mitigation, and regulatory compliance.
• Prioritize use cases based on strategic importance and collaborate with stakeholders to define product roadmaps and establish operational models for successful implementation.
• Serve as the primary liaison between business stakeholders and technical teams, effectively translating business objectives into technical requirements and vice versa.
• Work with cross-functional teams, including engineering, data science, and design teams, to build and scale products that utilize machine learning and cloud.
• Implement monitoring mechanisms to track the performance and outcomes of deployed use cases, ensuring continuous improvement and alignment with business objectives.
• Lead agile teams, fostering a culture of innovation and continuous improvement.
• Develop and maintain comprehensive product documentation, including user guides, release notes, and system requirements.
• Contribute to business development activities, including proposal writing and client presentations.
  

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