Sr Staff BI and ML/Advanced Analytics Platform Architect

General Electric; Providence (RI); Remote; USD 127,000 - 214,000; Full time

Job summary

A leading company in the aerospace sector is seeking a project leader for Data and Analytics Platforms. The role involves leading complex software projects, defining architecture strategies, and implementing best practices in MLOps. Candidates should have extensive experience with BI tools, AWS, and a strong background in software engineering.

Benefits

Comprehensive health benefits

Retirement plans

Tuition assistance

Parental support programs

Qualifications

• Bachelor’s degree with at least 5 years of experience, or Associate’s with 8 years, or High School with 10 years.
• Minimum 5 years in BI/ML and software engineering, including 5 years with AWS.
• Ability to communicate technical concepts to non-technical audiences.

Responsibilities

• Lead and coordinate technical and business discussions on architecture directions.
• Analyze, design, and develop a roadmap based on current vs future state.
• Implement MLOps best practices and establish governance in architecture practices.

Skills

BI and Analytics platforms

Software engineering

Data architecture

SQL

Python

AWS services

Data visualization

IT process automation

Education

Bachelor’s degree

Associate’s degree

High School Diploma

Tools

Dataiku

Spotfire

AWS (EKS, S3, Spark)

Job description

Job Description Summary

Responsible for leading multiple Data and Analytics Platforms initiatives, either as a project leader or internal consultant. Will work on highly complex software projects requiring in-depth domain knowledge or expertise in two or more specialized architecture areas.

Roles and Responsibilities

1. Lead and coordinate domain technical and business discussions regarding future architecture directions across the product portfolio on the data consumption side.
2. Drive holistic platform analytics on the consumer side to improve observability and lineage.
3. Analyze, design, and develop a roadmap and implementation plan based on current versus future state within a cohesive architecture framework.
4. Review and analyze architectural requirements at the domain level within the product portfolio or team.
5. Research and evaluate emerging technologies, industry, and market trends to support project development and operational activities.
6. Define and maintain KPIs for BI and analytics to measure platform adoption, customer experience, and performance.
7. Implement MLOps best practices, including deployment and monitoring of AI/ML models.
8. Establish end-to-end observability for data consumption services (BI & advanced analytics).
9. Lead the architecture vision for data consumption services and serve as the single point for AMS data services.
10. Develop and drive the implementation of a holistic EVM strategy.
11. Establish governance in architecture practices, including GitOps and CI/CD.
12. Contribute to the development and enhancement of data consumption platforms with reusable components for various configurations, aiming to improve customer experience and platform adoption.
13. Lead architecture design and implementation across teams using tools like Dataiku, Spotfire, and Starfish.
14. Drive innovation through POCs with new BI & analytics tools such as Power BI.
15. Leverage AWS services across platforms to enhance offerings and synergy.

Technical Skills

• Extensive experience with BI and Analytics platforms such as Spotfire, Data Virtualization (TDV), and Dataiku.
• Strong software engineering and Web applications experience.
• Proficiency in Windows and Linux environments.
• Deep knowledge of data lake concepts and strong SQL and Python skills.
• Hands-on experience with AWS, including EKS, S3, and Spark for distributed processing.
• Experience automating manual processes and deep expertise in data architecture and engineering.
• Knowledge of data science concepts, data visualization, and IT process automation.
• Ability to communicate technical concepts effectively to non-technical audiences.

Education and Experience

Bachelor’s degree with at least 5 years of professional experience, or an Associate’s degree with at least 8 years, or a High School Diploma with at least 10 years of experience. Minimum 5 years in BI/ML and software engineering, including 5 years with AWS. Military experience is considered equivalent.

Eligibility and Other Requirements

Legal authorization to work in the U.S. is required. No visa sponsorship is provided.

Desired Characteristics

• Ability to consult on enterprise-level outcomes and solutions.
• Experience in developing technology roadmaps and solution configurations.
• Ability to manage operational stability and budget considerations.
• Strong customer interaction and leadership skills, including change management and influencing abilities.

Business Acumen & Leadership

Ability to navigate organizational structures, articulate value, and lead cross-functional teams and partners effectively.

Pay Range & Benefits

The annual base pay range is $127,900 to $213,200, with potential bonuses. GE Aerospace offers comprehensive benefits, including health, retirement, tuition, and parental support programs.

Additional Information

GE Aerospace is an Equal Opportunity Employer. Employment is contingent upon legal work authorization and successful completion of a drug screen. This position is remote, with no relocation assistance provided.