Job Description Summary
Responsible for multiple Data and Analytics Platforms initiatives as a project leader or internal consultant. Will work on highly complex software projects that require in-depth domain knowledge or expertise in two or more specialized architecture areas.
Roles and Responsibilities
- Lead and coordinate technical and business discussions related to future architecture directions across the product portfolio or line on the data consumption side.
- Drive holistic platform analytics on the consumer side to improve observability and lineage.
- Analyze, design, and develop a roadmap and implementation plan based on current and future state architecture.
- Review and develop architectural requirements at the domain level within the product portfolio or team.
- Research and evaluate emerging technologies, industry, and market trends to support project development and operational activities.
- Define and monitor BI and analytics KPIs related to platform adoption, customer experience, and performance.
- Implement MLOps best practices, including deployment and monitoring of AI/ML models.
- Establish end-to-end observability for data consumption services (BI & Advanced analytics).
- Lead overall architecture vision for data consumption services and serve as the single point for AMS data services.
- Develop and implement holistic EVM strategies.
- Establish governance in architecture practices, including GitOps & CI/CD.
- Contribute to the development and enhancement of data consumption platforms with reusable components.
- Improve customer experience and platform adoption for BI & Analytics platforms.
- Lead architecture design and implementation across multiple teams, including Dataiku, Spotfire, and Starfish.
- Drive POCs in BI & Analytics with new tools like Power BI.
- Leverage AWS services across platforms to enhance offerings and synergy.
Technical Skills
- Experience with BI and Analytics platforms such as Spotfire, TDV, Dataiku.
- Strong software engineering and WebApps experience.
- Proficiency in Windows & Linux environments.
- Knowledge of data lake concepts, SQL, Python, AWS (EKS, S3), Spark, and distributed processing.
- Experience automating manual processes and data architecture and engineering.
- Understanding of data science concepts, data visualization, and IT process automation.
- Ability to teach and communicate technical concepts effectively to non-technical audiences.
Education and Experience
- Bachelor’s degree with minimum 5 years of professional experience, or equivalent education/experience as specified.
- Minimum 5 years in BI/ML, software engineering, and AWS.
Additional Requirements
- Legal authorization to work in the U.S.; no sponsorship provided.
- Desired characteristics include enterprise consulting skills, solution planning, organizational navigation, leadership, and change management capabilities.
Compensation and Benefits
The salary range is $127,900 - $213,200 annually, with potential bonuses. GE Aerospace offers comprehensive health, retirement, and other benefits, with details provided in the full description.
Additional Information
GE Aerospace promotes a diverse and inclusive work environment and is an Equal Opportunity Employer. Employment is contingent upon legal work authorization and passing a drug screening. This is a remote position, with no relocation assistance provided.