Associate Director leading AI and data solutions for state and local government clients. Overseeing teams to drive value through advanced analytics, and AI - driven solutions.
About the role
- Leading architectural initiatives for advanced analytics platform at Bank of America. Empowering new AI initiatives across diverse organizational sectors.
Responsibilities
- Join a groundbreaking team at Bank of America, at the forefront of innovation in AI.
- We are building the next generation of Gen AI platform, empowering new AI initiatives across Consumer, Small Business, Global Banking, and Wealth organizations.
- This is a unique opportunity to contribute to a critical platform that will enable secure, scalable, and high-performance AI capabilities across the organization.
- Key responsibilities of the role include developing solutions and processes for multiple organizations based on their design/architectural/Agile/DevOps practices.
- This job is responsible for defining an architectural vision and solution that supports the strategic outcomes of the Business' Products and Services.
- Key responsibilities include defining the target operating environment, designing for client resiliency, assisting with solution design, and defining non-functional requirements.
- Job expectations include working with stakeholders and service providers aligned to the Business' strategic objectives, evaluating the impact of strategic design decisions, and contributing to the architecture roadmap.
Requirements
- 8+ years of experience in platform development, architecture, and strategy for data science, modeling, advanced analytics, and Gen AI.
- Experience building E2E analytics platform focusing on self-service for as Data science, Big Data platform, Analytics etc.
- Experience building E2E ML pipelines: Data prep, Model Build, training models, Deployment, Scoring, Monitoring and Optimization
- Experience working with technical and line of business users to gather the requirements, writing BRD for building platform, brainstorm with different set of tech and non-tech audience, document the details with conceptual diagrams, validate the tech feasibilities of capabilities by researching and working with tech teams, architects, and engineers.
- Reviews technical designs to ensure that they are consistent with defined architecture principles, standards, and best practices.
- Own technical decisions for the solution and application developers in the creation of architectural decisions and artifacts.
- Ability to clearly communicate with team & stakeholders.
- Collaborate with product teams, data analysts and data scientists to design and build solutions.
- Strong understanding of modern open-source data science platform architecture for storage & compute separation, interactive development workbenches, virtual environments, containers, and toolsets.
- Hands-on experience on implementing CI/CD and automation using the Atlassian ecosystem.
- Knowledge of metadata management, data lineage, and principles of data governance
- Experience designing and building full stack solutions utilizing distributed computing architecture.
- Design and build and deploy streaming and batch data pipelines capable of processing and storing large datasets quickly and reliably using Kafka, Spark and YARN
Benefits
- competitive benefits to support their physical, emotional, and financial well-being.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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