**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.
**Job Description**
**Roles and Responsibilities**
- Lead and coordinate domain technical and business discussions related to future architecture direction across the product portfolio or product 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 vs. future state within a cohesive architecture framework.
- Review and analyze 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 analytic KPIs to measure 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).
- Define and steer the architecture vision for data consumption services, serving as the primary point for AMS services in this area.
- Develop and implement holistic EVM strategies.
- Establish governance in architecture practices, including GitOps and CI/CD processes.
- Contribute to the development and enhancement of data consumption platforms with reusable components to improve customer experience and platform adoption.
- Lead architecture design and implementation across multiple teams, including Dataiku, Spotfire, and Starfish.
- Drive proof-of-concept initiatives in BI & analytics with new tools like Power BI.
- Leverage AWS services across platforms to enhance offerings and promote synergy.
**Technical Skills** :
- Extensive experience with BI and analytics platforms such as Spotfire, TDV, and Dataiku.
- Strong software engineering and web application skills.
- Proficiency in Windows and Linux environments.
- Deep knowledge of data lake concepts.
- Advanced SQL and Python skills.
- Hands-on experience with AWS, especially EKS, S3, and Spark.
- Experience automating manual processes and deep expertise in data architecture and engineering.
- Knowledge of data science concepts, data visualization/webapps, and IT automation processes.
- Ability to communicate technical concepts effectively to non-technical audiences.
**Education Qualifications**
- Bachelor’s degree with at least 5 years of professional experience, or an Associate degree with 8 years, or a High School Diploma with 10 years of experience.
- Minimum 5 years in BI/ML and software engineering.
- Minimum 5 years of experience with AWS.
**Eligibility Requirement:**
Legal authorization to work in the U.S. is required; sponsorship is not available.
**Desired Characteristics:**
- Strategic thinking, customer consulting, and solution planning skills.
- Experience with solution configuration, lifecycle management, and budget planning.
- Leadership in customer interactions and legacy system integration.
**Business Acumen:**
- Organizational navigation, understanding business models, and effective communication of value.
**Leadership:**
- Organizational knowledge, team leadership, change management, and interpersonal skills.
**Pay Range:** $127,900 - $213,200 annually, with potential bonuses. Posting closes on 6/20/2025.
**Benefits:**
Comprehensive health, retirement, and additional employee benefits, including tuition, adoption, parental leave, and insurance programs.
**Additional Information:**
GE Aerospace promotes a diverse, inclusive work environment and is an Equal Opportunity Employer. Employment is contingent upon legal work authorization and passing a drug test. No relocation assistance is provided. This is a remote position.