Data Governance & Delivery Advisor

ENGIE North America Inc.; Houston (TX); Hybrid; USD 117,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision

Employer-paid short-term and long-term

401(k) with match

PTO & wellness days

Employee stock purchase plan (ESPP)

Disability insurance

Family benefits

Job summary

ENGIE North America Inc. is seeking a role that bridges US B2B Supply Business teams with Data & Architecture to translate requirements into clear specs and robust data products.

You will lead data lineage validation, write test cases, and drive adoption while shaping governance foundations. This position emphasizes collaboration with stakeholders, product owners, and data engineers, and requires experience across data analytics, data modeling, and cloud platforms.

Qualifications

• 7+ years of experience in data analysis or business analysis supporting data platforms and analytics.
• Experience writing functional and technical specifications and source-to-target mappings.
• SQL and hands-on data analysis, profiling, and validation.

Responsibilities

• Bridge between US B2B Supply Business teams and Data & Architecture teams to gather and translate requirements into clear specs.
• Own functional and user acceptance testing of data products, write tests, log defects, and coordinate resolution.
• Maintain data governance artifacts, glossaries, data dictionaries, and data quality KPIs.
• Present findings and recommendations to IT and business leadership and support adoption.

Skills

SQL

Data analysis

Data modeling

Testing / UAT

Agile

Cloud data platforms

Power BI

Tableau

Python

Spark / PySpark

Education

Bachelor's degree in Computer Science, MIS, Engineering, Analytics, or related

Tools

Databricks

Snowflake

S3

AWS

Azure

Power BI

Tableau

Job description

ENGIE North America Inc. is seeking a role that bridges US B2B Supply Business teams with Data & Architecture to translate requirements into clear specs and robust data products.

You will lead data lineage validation, write test cases, and drive adoption while shaping governance foundations. This position emphasizes collaboration with stakeholders, product owners, and data engineers, and requires experience across data analytics, data modeling, and cloud platforms.