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We welcome all individuals and evaluate solely on the quality of their work and teamwork.
We welcome all individuals and evaluate solely on the quality of their work and teamwork.
The Office of the SVP, Engineering is launching an initiative seeking a highly skilled and proactive analyst. This contractor will support the rapid assessment and rationalization of a critical application portfolio and help establish the core operational playbook for scaling the initiative across the enterprise. This role requires a strong combination of technical proficiency, data validation skills, and effective cross-functional collaboration.
Data Foundation & Validation
Application Data Validation: Lead the initial sanitation and consolidation of application inventory data from various sources (e.g., Metric Collection & Accuracy: During the pilot, rigorously validate the accuracy of existing application data (e.g., technical fit scores) and systematically collect new metrics (TCO, support model, vendor EoL) by engaging with stakeholders across Finance and SAM (Software Asset Management).
Deep-Dive Analysis: Once data is confirmed, perform detailed discovery on high-priority application lists flagged for rationalization (Migrate/Eliminate candidates) in conversations with the respective application owners.
Interview and align with application owners, architects, and product leads to accurately gather data on application architecture, current tech stack, and future roadmaps.
Financial Analysis & Program Enablement
Support the calculation of Return on Investment (ROI) and projected savings from decommissioning/replacement activities to build data-driven business cases.
Technical Acumen (Mandatory): Strong foundational understanding of modern software development practices, CI/CD pipelines, cloud architectures (e.g., Azure, AWS, GCP concepts), and the ability to perform deep dive analysis on application tech stack, component dependency, and EoL risks.
Analytical Rigor: Proven ability to manage, consolidate, and sanitize complex, inconsistent data from multiple enterprise sources (EAM, CMDB, App 360, spreadsheets) and lead data validation efforts.
demonstrated ability to engage with architects and senior engineering leads to extract technical details and translate technical risk into clear business and financial impact for non-technical leadership. xpzdshu
Tooling: Familiarity with Enterprise Architecture tools, data visualization platforms (e.g., Tableau, Power BI), and advanced spreadsheet analysis.