Lead, Business Intelligence Engineer

** Analytics Engineering:*
* • Design, build, and maintain reliable data pipelines and transformations that produce clean, reusable datasets for analytics and ML.

• Apply software engineering rigor (version control, CI/CD); document business logic and data lineage; enforce data quality standards.

• Use SQL- and Python/R based tooling (e.g., dbt for transformations) to operationalize analytics at scale.
Cloud & Platforms  
• Leverage cloud analytics platforms (e.g., AWS Sage Maker, Azure ML) and visualization tools (e.g., Power BI, Tableau) to deliver solutions at enterprise scale.
Governance, Security & Operations  
• Ensure data use adheres to information security standards (least privilege access) and approved change management practices for models and pipelines.

• Maintain confidential/restricted data only in approved production environments; obtain Information Owner approvals for data requests/transfers.

• Support business continuity and DR by ensuring uninterrupted analytics service coverage across locations and teams.
Required

Skills & Qualifications  
• Advanced proficiency in Python and/or R for analysis and ML.

• Strong SQL for ETL and transformation; experience with data visualization tools (Power BI, Tableau).

• Solid foundation in statistics, mathematics, and computer science.

• Familiarity with version control (Git) and CI/CD pipelines; ability to communicate complex analytical concepts to diverse audiences; strong business acumen.

*
* What you bring:

*
* • Hands on experience with dbt and modern analytics engineering practices; enterprise BI and data lake tooling (e.g., Fabric/Power BI/Excel).

• Experience deploying ML solutions on AWS Sage Maker and/or Azure ML; operating within enterprise controls.
Work Experience Requirements  
• Minimum of 5 years professional experience in data science, analytics, or a related quantitative field (advanced degrees may substitute for some experience).

• Proven track record of developing, deploying, and maintaining ML models and data pipelines in a business environment; cross functional delivery experience.

• Prior experience with cloud based analytics platforms and modern data engineering practices.
Education Requirements  
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related quantitative field required.

• Advanced degrees (Master’s/Ph.D.) preferred and may substitute for some work experience; equivalent work related skill/knowledge is valued.
Security & Compliance Responsibilities  
• Obtain Information Owner approval for all data requests/transfers; implement and monitor models/AI systems per company security standards.

• Maintain all confidential/restricted data in approved production environments; follow approved change management processes for updates and deployments.
Organizational Impact  
• Enhance decision making through trusted, timely insights; drive innovation in customer experience, risk management, and operational efficiency; support business continuity; and help mitigate reputational/customer risks via accurate analysis.
Job Details  
•

Location:

Hybrid (onsite/remote); supports enterprise stakeholders across regions.  
•

Employment Type:

Full time.  
• Travel:
Minimal; as required for stakeholder engagement and DR/BCP exercises.
** Work/Life Resources
** to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.  
** Education Benefit
** to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.  Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week. Prudential Financial, Inc. (NYSE: PRU), a global financial services leader and premier active global investment manager with approximately $1.4 trillion in assets under management as of Dec.

31, 2023, has operations in the United States, Asia, Europe, and Latin America. Prudential’s diverse and talented employees help make lives better and create financial opportunity for more people by expanding access to investing, insurance, and retirement…