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Data & Analytics expert (energy company or Utilities)

Salary undisclosed

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Job Description:

Technology strategy & consulting to develop and implement IT strategies aligned with business objectives in the energy sector.

Responsible to partner with clients, internal teams and 3rd parties technology partners on existing projects, new pursues and POVs/POCs in order to achieve accelerated business outcomes for clients in the Data and Analytics space.

Work closely with the various Business Insights Segments, account teams and customers to analyze and understand business processes, data ecosystems, technology solutions mappings, data architecture and overall data management principles within the energy sector, oil & gas, and renewable energy.

Develop and implement business & IT strategies that align with industry best practices and regulatory requirements.

Develop points of views, white papers and offerings relevant to the energy sector.

Assist in the selection, integration, and deployment of data analytics solutions cloud or hybrid.

Design and optimize cloud-based and on-premise Data & Analytics solutions tailored for the utility industry.

Work closely with stakeholders, including IT teams, business users, and vendors, to drive digital transformation projects.

Present to industry forums or other agreed channels, PoVs and thought leadership in the energy domain

Technical/Functional Skills

Excellent knowledge in the Energy sector to drive digital transformation and technological innovation.

Experience in the design and optimization of cloud-based and on-premise data analytics solutions tailored for the energy sector.

Drive digital transformation projects by working closely with stakeholders, including IT teams, business users, and vendors.

Excellent knowledge in the areas of Data Management (Data Governance, Data Quality, Master Data Management), Data Strategy and Data Analytics including ML/AI solutions and Cloud based Data Solutions.

Excellent knowledge in AI/GenAI solutions and how these are applicable in the energy domain

Experience Required

15+ years of experience in IT consulting, with considerable in the energy sector, oil & gas, and renewables.

Proficiency in cloud computing (AWS, Azure, Google Cloud) and digital transformation technologies.

Strong understanding of cybersecurity, data analytics, IoT, and AI applications in the energy sector

Excellent problem-solving, communication, and stakeholder management skills.

Ability to lead cross-functional teams and drive change management initiatives.

Extensive experience in the energy domain including oil & gas and renewable energy

Extensive practical experience (hands on) in Data Management and Data & Analytics solutions within the corresponding domain.

Excellent knowledge of the Data Analytics landscape in regard to vendors and technical solutions (e.g. Databricks, Snowflake, etc).

Qualifications:

Bachelor s or master s degree in information technology, Computer Science, Engineering, or a related field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Job Description:

Technology strategy & consulting to develop and implement IT strategies aligned with business objectives in the energy sector.

Responsible to partner with clients, internal teams and 3rd parties technology partners on existing projects, new pursues and POVs/POCs in order to achieve accelerated business outcomes for clients in the Data and Analytics space.

Work closely with the various Business Insights Segments, account teams and customers to analyze and understand business processes, data ecosystems, technology solutions mappings, data architecture and overall data management principles within the energy sector, oil & gas, and renewable energy.

Develop and implement business & IT strategies that align with industry best practices and regulatory requirements.

Develop points of views, white papers and offerings relevant to the energy sector.

Assist in the selection, integration, and deployment of data analytics solutions cloud or hybrid.

Design and optimize cloud-based and on-premise Data & Analytics solutions tailored for the utility industry.

Work closely with stakeholders, including IT teams, business users, and vendors, to drive digital transformation projects.

Present to industry forums or other agreed channels, PoVs and thought leadership in the energy domain

Technical/Functional Skills

Excellent knowledge in the Energy sector to drive digital transformation and technological innovation.

Experience in the design and optimization of cloud-based and on-premise data analytics solutions tailored for the energy sector.

Drive digital transformation projects by working closely with stakeholders, including IT teams, business users, and vendors.

Excellent knowledge in the areas of Data Management (Data Governance, Data Quality, Master Data Management), Data Strategy and Data Analytics including ML/AI solutions and Cloud based Data Solutions.

Excellent knowledge in AI/GenAI solutions and how these are applicable in the energy domain

Experience Required

15+ years of experience in IT consulting, with considerable in the energy sector, oil & gas, and renewables.

Proficiency in cloud computing (AWS, Azure, Google Cloud) and digital transformation technologies.

Strong understanding of cybersecurity, data analytics, IoT, and AI applications in the energy sector

Excellent problem-solving, communication, and stakeholder management skills.

Ability to lead cross-functional teams and drive change management initiatives.

Extensive experience in the energy domain including oil & gas and renewable energy

Extensive practical experience (hands on) in Data Management and Data & Analytics solutions within the corresponding domain.

Excellent knowledge of the Data Analytics landscape in regard to vendors and technical solutions (e.g. Databricks, Snowflake, etc).

Qualifications:

Bachelor s or master s degree in information technology, Computer Science, Engineering, or a related field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job