Business Data & AI Specialist – GTM Data & Systems Strategy (Engineering Analyst IV)
Johnson Service Group
- Houston, TX
- 2 days ago
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Skills
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Programming Languagesunmatched
- Asset Managementunmatched
- Automationunmatched
- Business Caseunmatched
- Business Operationsunmatched
- Business Skillsunmatched
- Business Solutionsunmatched
- Business Supportunmatched
- Cloud Computingunmatched
- Communication Skillsunmatched
- Computer Scienceunmatched
- Cross-Functionalunmatched
- Data Analysisunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Decision Supportunmatched
- Documentationunmatched
- Embedded Systemsunmatched
- Establish Prioritiesunmatched
- GCP (Good Clinical Practices)unmatched
- Knowledge Transferunmatched
- Machine Learningunmatched
- Mathematicsunmatched
- Microsoft Windows Azureunmatched
- Modeling Languagesunmatched
- Natural Language Processing (NLP)unmatched
- Operational Auditunmatched
- Operational Supportunmatched
- Power BIunmatched
- Python Programming/Scripting Languageunmatched
- Records Managementunmatched
- Regulatory Requirementsunmatched
- Reliability Engineeringunmatched
- Reporting Dashboardsunmatched
- Requirements Managementunmatched
- SQL (Structured Query Language)unmatched
- Science Libraryunmatched
- Statisticsunmatched
- Strategic Analysisunmatched
- Support Documentationunmatched
- Technical Researchunmatched
- Testingunmatched
- Trend Analysisunmatched
- Use Casesunmatched
Description
Role Summary: GTM D&SS is seeking a Business Data & AI Specialist to work within the Gas Transmission business and deliver applied data science, AI/ML, and automation solutions that directly support operational priorities including reliability, compliance, asset management, and decision support.
The role will be embedded within D&SS and will partner closely with operations, engineering, integrity, records, asset management teams, etc. to understand their challenges, define requirements, and translate them into practical, data-driven solutions. The role requires strong technical execution skills with a focus on understanding the business context, delivering measurable outcomes, and ensuring solutions are usable, auditable, and aligned with how the business operates. This role leverages technology platforms to build and deliver business-owned solutions that address GTM-specific needs.
Required Qualifications
Preferred Qualifications
Level & Scope Expectations
The role will be embedded within D&SS and will partner closely with operations, engineering, integrity, records, asset management teams, etc. to understand their challenges, define requirements, and translate them into practical, data-driven solutions. The role requires strong technical execution skills with a focus on understanding the business context, delivering measurable outcomes, and ensuring solutions are usable, auditable, and aligned with how the business operates. This role leverages technology platforms to build and deliver business-owned solutions that address GTM-specific needs.
Required Qualifications
- Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
- 6+ years of combined experience applying data, analytics, and AI/ML to business or operational problems, with demonstrated ability to translate business needs into practical, data-driven solutions in the energy industry.
- Strong proficiency in Python and common data science libraries.
- Solid understanding of applied machine learning concepts and applied statistics.
- Demonstrated ability to communicate insights and recommendations to business stakeholders clearly and concisely.
- Experience working collaboratively across functions, not just within a technical team.
- Ability to work independently within a defined scope and effectively collaborate across teams.
Preferred Qualifications
- Experience with Generative AI, large language models (LLMs), or agentbased workflows or agent-based workflows in applied business settings.
- SQL proficiency and experience working with operational or analytical databases.
- Experience building business-facing dashboards or reports (e.g., Power BI).
- Familiarity with cloud-based platforms (Azure preferred; AWS or GCP acceptable).
- Experience working in engineering, operations, regulated, or energy sector environments.
- Exposure to documentation-heavy or audit-sensitive work contexts.
- Partner with business stakeholders across operations, engineering, reliability, records, and asset management to identify, scope, and prioritize data and AI opportunities. Translate business questions and operational pain points into well-defined analytical or modeling problems. Ensure solutions are grounded in business context, regulatory requirements, and operational realities.
- Perform data acquisition, cleansing, transformation, and validation across structured and unstructured datasets. Conduct exploratory analysis to surface trends, anomalies, risks, and improvement opportunities relevant to GTM operations.
- Design, build, test, and tune machine learning models using established techniques (e.g., classification, regression, clustering, natural language processing) to address specific business use cases.
- Build Generative AI and Agentic AI based solutions, including prompt engineering and workflow automation.
- Deliver reproducible analyses and clearly communicate findings, recommendations, and limitations to both technical and non-technical audiences.
- Create business-facing visualizations and dashboards that support day-to-day decision-making.
- Prepare and maintain documentation that supports knowledge transfer, auditability, and operational continuity.
- Apply appropriate evaluation methodologies and document assumptions, limitations, and model performance.
- Write clean, well-structured Python code that meets quality and security standards, working within shared repositories (Git).
- Support model deployment and operationalization, including basic MLOps practices such as monitoring inputs, outputs, and performance over time.
- Collaborate with D&SS, TIS, business partners, and domain experts to ensure solutions meet operational needs.
- Identify opportunities to enhance or extend existing business solutions within the assigned domain.
- Stay current on practical advances in data science, ML, and AI that are relevant to the business context.
Level & Scope Expectations
- Works independently on routine and moderately complex tasks within a defined business domain.
- Demonstrates depth in understanding the operational context behind the data.
- Produces solutions that are reliable, documented, supportable, and business-owned.
- Escalates complex, ambiguous, or cross-functional issues appropriately.
- Prioritizes consistent delivery and operational value over exploratory research or technology experimentation.
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Numbers & Facts
| Location | Houston, TX |
| Industry | Staffing/Employment Agencies |
| Company Size | 1,000 to 1,499 employees |
| Year Founded | 1984 |
| Website | https://www.jsginc.com/ |
About Company
At JSG, We Understand People
It is our mission to empower people, help our clients reach their goals, and hire motivated individuals.
Since our start in 1984, we’ve worked hard to establish our present position as the most effective cross-industry staffing and consulting solution available.
Headquartered in Chicago, IL with local offices throughout the United States and Canada, JSG proudly serves a diverse range of industries with the right solutions to help clients reach their company goals. Our client-centric approach enables us to create personalized solutions for businesses in need of top-tier talent. Our dedication doesn’t stop at our clients. We strive to connect candidates with opportunities that match their skills and goals. More than just a go-between, we are a dependable bridge, uniting top talent with suitable opportunities, facilitating shared opportunities and growth.