Job Description Summary
Responsible for leading multiple Data and Analytics Platforms initiatives, either as a project leader or internal consultant. Will work on complex software projects requiring in-depth domain knowledge across multiple architecture areas.
Roles and Responsibilities
- Lead and coordinate technical and business discussions related to future architecture directions across the product portfolio on data consumption.
- 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 states within a cohesive architecture framework.
- 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 maintain KPIs for BI and analytics 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).
- Lead the architecture vision for data consumption services and serve as the single point for AMS services on this side.
- Develop holistic EVM strategies and drive their implementation.
- Establish governance practices in architecture, including GitOps and CI/CD.
- Contribute to the development and enhancement of data consumption platforms with reusable components, improving customer experience and platform adoption.
- Lead architecture design and implementation across teams utilizing tools like Dataiku, Spotfire, and Starfish.
- Drive new POCs in BI & Analytics with tools such as Power BI.
- Leverage AWS services across platforms to enhance offerings and drive synergy.
Technical Skills
- Extensive experience with BI and Analytics platforms like Spotfire, Data Virtualization (TDV), and Dataiku.
- Strong software engineering and web application experience.
- Proficiency in Windows & Linux environments.
- Deep knowledge of data lake concepts, SQL, Python, AWS EKS, Spark, AWS S3.
- Experience automating manual processes and data architecture.
- Knowledge of data science concepts, data visualization, and IT process automation.
- Ability to teach technical concepts to non-technical audiences and communicate effectively across organizational levels.
Education and Experience
Bachelor’s degree with at least 5 years of professional experience, or equivalent experience with an Associate degree (8 years) or High School diploma (10 years). Minimum 5 years in BI/ML, software engineering, and AWS.
Additional Requirements
Legal authorization to work in the U.S. is required; sponsorship is not provided. This position is remote, and the application deadline is 6/20/2025.