What are the responsibilities and job description for the Advanced Analytics Architect (AI/ML) position at honeywell2-pilot?
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The Principal Enterprise Analytics Architect is responsible for leading the Enterprise Solution architecture function for Advanced Analytics and Data architecture domain, interpreting the organization’s objectives and the enterprise architecture context into Enterprise Solution Architecture standards and usage guidelines for the specific architecture domain. Jointly responsible for architecture governance across architecture domains.
Responsible for Enterprise architecture and conceptual design of projects in line with the Architecture standards and guidelines. This role requires close working relationship with Business and IT leadership, internal customers, Business Alignment Teams, Enterprise Architecture team and IT COE teams. The role would be the leading Enterprise and Solution Architecture for Data Enablement, Information and Analytics function, and will report to Sr. Director, Data and Analytics.
Key Responsibilities:
- Lead the architecture and enabling technologies strategy for the data enablement, information and analytics. Evangelize and drive alignment on the adoption and realization of the architecture strategy. Partner with business alignment team and business leaders on all
- Provide thought leadership and act as the trusted technical advisor to business and technology leadership team
- Lead the development of a Reference as well as Destination Solution and Technical Architecture standards and Usage guidelines for enabling delivery capabilities based on industry trends, innovation and business drivers.
- Work as part of Architecture group, as well as business alignment team to convert business requirements into an architecture blueprint and conceptual design, based on the Architecture standards and usage guidelines.
- Collaborate with data scientists and data engineers to build production-level models and pipelines, including any required preprocessing of input datasets and postprocessing after model inference.
- Work closely with the operations team to change, optimize existing Automation and AI/ML processes and help build effective model performance monitoring, alert and notification framework to proactively identify problems/issues before business impact
- Partner and effectively communicate with Non-IT / Business users, functional counterparts and stakeholders to understand the underlying business problem, and work with the extended team to define and communicate the right technical solution
- Work with Enterprise Architecture Review Board for Architecture Governance across architecture domains.
- Facilitate product selection as part of Architecture Standards definition. Partner with Business, Business Alignment Team and Solution Delivery teams to select an approach
- Provide strong functional thought leadership and consulting in the respective domain and be an advisor to the business and strategy leads on Industry best practices.