Sustainability Digital Technology Senior Specialist - Data & AI

Digital Technology Senior Specialist - Data & AI 

Are you an experienced Digital Technology Senior Specialist - Data & AI looking for a new Role?

Job Description Summary

Your focus will be on leading the development of external and internal Data Products around processes, KPIs and company strategic goals in accordance with reporting frameworks, regulator guidance and internal subject matter experts. As part of our team, you will help create data models, analyses, automation and applications which support Baker Hughes’ strategic goals and the world’s Energy Transition needs.

Responsibilities, authorities and accountabilities

As a Senior Specialist you will develop & own Data & AI Products created with cross-disciplinary teams typically involving large & complex data sets. These teams include Data Engineers, Subject Matter Experts, Architects, Product Managers, Data Scientists, Engineers, Supply Chain managers and Controllers across business units who you will interact with on a daily basis to specify, design, develop, test and deploy data solutions with. Example application areas include regulatory reporting, lifecycle assessment, emissions/water/waste management, human capital reporting, control and risk management for climate & transition, , health & safety reporting.

In this role, you will be:

• Implementing and maintaining data products with automated pipelines for data processing, ingestion and consumption, ensuring governance and data quality capabilities aligned with regulatory mandates (e.g.: GDPR, SOX) and frameworks (e.g.: , , ESRS, ISO).

• Integrating critical business process with data products to support internal and external facing requirements across our operations in 100+ countries.

• Implementing and maintaining data consumption solutions (e.g.: APIs, Reports, Tableau Reports, Databricks AI/BI dashboards, custom applications, etc.)

• Leading other Data Engineers and contractors in the use of best-in-class development frameworks and tools, including AI-driven automation.

• Evaluating source data across multiple upstream systems, understanding the purpose of each system and documenting data requirements for downstream use

• Developing semantic and knowledge layers to the data products you own with technical and functional documentation for data consumption, auditability, maintenance and operations.

Required Qualifications

• Have a bachelor's degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math). A minimum of 10 years of professional experience.

• Have a minimum of 6 years of experience with Data Engineering projects (e.g.: development of dashboards, data modelling, data processing, etc.).

• Have a strong technical background and a proven track record for learning the best-in-class technology and development patterns.

Desired Qualifications

Business Acumen:

• Be able to deliver results when working on short-term (weeks-months), outcome-focused engagements

• Be able to leverage external references on best-in-class technology and processes and translate that for application within our company processes and culture

• Be able to articulate the value proposition of technology capabilities and map them to customer requirements to minimize incremental cost of development

Leadership:

• Be able to foster teamwork and apply your skills to understand visions, achieve goals, solve problems, and manage conflicts.

• Be able to communicate with stakeholders on issues, identify potential problems, and proactively initiate resolutions. Be comfortable in asking for help and providing help.

• Be able to produce information in sufficient detail for cross-functional teams to utilize, using presentation and storytelling experience

Technical:

• Have extensive experience in Data Engineering (SQL, Data Modelling, ELT)

• Have extensive experience in Distributed Data Processing (e.g.: Spark, MPP databases)

• Have extensive experience in modern Data platforms (e.g.: Databricks)

• Have experience with ‘User Experience’ processes (ex: Design Thinking, Prototyping, Wireframing, User Journeys, etc.)

• Have experience in an agile environment. Be aware of and able to apply continuous integration and continues deployment practices (CICD)

• Have experience with AI coding and development

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working remotely

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

• Contemporary work-life balance policies and wellbeing activities

• Comprehensive private medical care options

• Safety net of life insurance and disability programs

• Tailored financial programs

Additional elected or voluntary benefits

The Baker Hughes internal title for this role is: Digital Technology Senior Specialist - Data and Analytics