Sustainability Digital Technology Senior Specialist - Data & AI

Role Description

Your focus will be on leading the development of external and internal Data Products around Sustainability processes, ESG 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.

• Develop & own Data & AI Products created with cross-disciplinary teams typically involving large & complex data sets.
• Interact with Data Engineers, Subject Matter Experts, Architects, Product Managers, Data Scientists, Engineers, Supply Chain managers, and Controllers across business units.
• Specify, design, develop, test and deploy data solutions.
• Example application areas include:
  • Regulatory reporting
  • Lifecycle assessment
  • Emissions/water/waste management
  • Human capital reporting
  • Control and risk management for climate & transition
  • Biodiversity
  • Health & safety reporting
• Implement and maintain data products with automated pipelines for data processing, ingestion and consumption.
• Ensure governance and data quality capabilities aligned with regulatory mandates (e.g.: GDPR, SOX) and frameworks (e.g.: ISSB, GRI, ESRS, ISO).
• Integrate critical business processes with data products to support internal and external facing requirements across operations in 100+ countries.
• Implement and maintain data consumption solutions (e.g.: APIs, PowerBI Reports, Tableau Reports, Databricks AI/BI dashboards, custom applications).
• Lead other Data Engineers and contractors in the use of best-in-class development frameworks and tools, including AI-driven automation.
• Evaluate source data across multiple upstream systems, understanding the purpose of each system and documenting data requirements for downstream use.
• Develop semantic and knowledge layers to the data products with technical and functional documentation for data consumption, auditability, maintenance and operations.

Qualifications

• Bachelor's degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math).
• A minimum of 10 years of professional experience.
• A minimum of 6 years of experience with Data Engineering projects (e.g.: development of dashboards, data modelling, data processing).
• Strong technical background and a proven track record for learning the best-in-class technology and development patterns.

Requirements

• Business Acumen:
  • Deliver results on short-term (weeks-months), outcome-focused engagements.
  • Leverage external references on best-in-class technology and processes.
  • Articulate the value proposition of technology capabilities and map them to customer requirements.
• Leadership:
  • Foster teamwork and apply skills to understand visions, achieve goals, solve problems, and manage conflicts.
  • Communicate with stakeholders on issues, identify potential problems, and proactively initiate resolutions.
  • Produce information in sufficient detail for cross-functional teams using presentation and storytelling experience.
• Technical:
  • Extensive experience in Data Engineering (SQL, Data Modelling, ELT).
  • Extensive experience in Distributed Data Processing (e.g.: Spark, MPP databases).
  • Extensive experience in modern Data platforms (e.g.: Databricks).
  • Experience with ‘User Experience’ processes (e.g.: Design Thinking, Prototyping, Wireframing, User Journeys).
  • Experience in an agile environment and able to apply continuous integration and continuous deployment practices (CICD).
  • Experience with AI coding and development.

Benefits

• 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.